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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Center for Disease Control and Prevention: Genetic Testing Reference Materials Coordination Program Resource Report Resource Website 1+ mentions |
Center for Disease Control and Prevention: Genetic Testing Reference Materials Coordination Program (RRID:SCR_013029) | data or information resource, portal, topical portal | The goal of the Genetic Testing Reference Materials Coordination Program (GeT-RM) is to coordinate a self-sustaining community process to improve the availability of appropriate and characterized reference materials for: Quality control (QC), Proficiency testing (PT), Test development & validation, Research. The purpose of this program is: - To help the genetic testing community obtain appropriate and characterized reference materials - To facilitate and coordinate information exchange between users and providers of QC and reference materials - To coordinate efforts for contribution, development, characterization and distribution of reference materials for genetic testing Get-RM provides information about cell lines, DNA, and other kinds of materials that could be used as reference materials for molecular genetic testing. Some of these materials have been characterized by the GeT-RM program and can be divided into three categories: - Genetic Inherited Disease & Pharmacogenetics This section includes information about cell lines, DNA, and other samples that can be used as reference materials for various inherited diseases (including cystic fibrosis, fragile X, Huntington disease, and Ashkenazi Jewish-related diseases), pharmacogenetic loci, and biochemical genetics. The GeT-RM program has confirmed the genotype of many of the genomic DNA samples through testing in multiple clinical genetic laboratories. - Molecular Oncology This section includes information about commercially available cell lines, DNA, and other kinds of materials that could be used as reference materials for various types of cancers, including leukemia/lymphoma and solid tumors. - Infectious Disease This section includes information about commercially available cell lines, DNA, and other kinds of materials that could be used as reference materials for various infectious disease pathogens including viruses, bacteria, and protozoa. | fragile x, genetic, genetics, genetic testing, ashkenazi, bacteria, biochemical, cancer, cell, cell line, coordination, cystic fibrosis, development, disease, dna, genomic, genotype, huntington disease, inherited, jewish, leukemia, locus, lymphoma, material, molecular, oncology, pathogen, pharmacogentic, protozoa, quality, solid, testing, tumor, virus | has parent organization: Centers for Disease Control and Prevention | nif-0000-10189 | SCR_013029 | CDC GeT-RM Program | 2026-09-12 12:57:57 | 3 | |||||||||
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Human Genome Project Information Resource Report Resource Website 50+ mentions |
Human Genome Project Information (RRID:SCR_013028) | data or information resource, funding resource, narrative resource, portal, slide, topical portal, training material, video resource | This resource gives information about the U.S. Human Genome Project, which was was a 13-year effort to to discover all the estimated 20,000-25,000 human genes and make them accessible for further biological study. The primary project goals were to: - identify all the approximately 20,000-25,000 genes in human DNA, - determine the sequences of the 3 billion chemical base pairs that make up human DNA, - store this information in databases, - improve tools for data analysis, - transfer related technologies to the private sector, and - address the ethical, legal, and social issues (ELSI) that may arise from the project. To help achieve these goals, researchers also studied the genetic makeup of several nonhuman organisms. These include the common human gut bacterium Escherichia coli, the fruit fly, and the laboratory mouse. These parallel studies helped to develop technology and interpret human gene function. Sponsors: The DOE Human Genome Program and the NIH National Human Genome Research Institute (NHGRI) together sponsored the U.S. Human Genome Project. | escherichia coli, fruit fly, function, gene, genome, genetic, bacterium, base pair, biological, dna, human, mouse, sequence, FASEB list |
has parent organization: National Institutes of Health has parent organization: United States Department of Energy |
nif-0000-10252 | SCR_013028 | HGP | 2026-09-12 12:57:57 | 59 | |||||||||
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Genetic Analysis Software Resource Report Resource Website 1+ mentions |
Genetic Analysis Software (RRID:SCR_013155) | GAS | catalog, data or information resource, data set, database, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. Listing of computer software for the gene mapping community on the following topics: genetic linkage analysis for human pedigree data, QTL analysis for animal/plant breeding data, genetic marker ordering, genetic association analysis, haplotype construction, pedigree drawing, and population genetics. The inclusion of a program should not be interpreted as an endorsement to that program from us. In the last few years, new technology produces new types of genetic data, and the scope of genetic analyses change dramatically. It is no longer obvious whether a program should be included or excluded from this list. Topics such as next-generation-sequencing (NGS), gene expression, genomics annotation, etc. can all be relevant to a genetic study, yet be specialized topics by themselves. Though programs on variance calling from NSG can be in, those can sequence alignment might be out; programs on eQTL can be in, those on differential expression might be out. This page was created by Dr. Wentian Li, when he was at Columbia University (1995-1996). It was later moved to Rockefeller University (1996-2002), and now takes its new home at North Shore LIJ Research Institute (2002-now). The present copy is maintained by Jurg Ott as a single file. More than 240 programs have been listed by December 2004, more than 350 programs by August 2005, close to 400 programs by December 2006, and close to 480 programs by November 2008, and over 600 programs by October 2012. A version of the searchable database was developed by Zhiliang Hu of Iowa State University, and a recent round of updating was assisted by Wei JIANG of Harbin Medical School. Some earlier software can be downloaded from EBI: ftp://ftp.ebi.ac.uk/pub/software/linkage_and_mapping/ (Linkage and Mapping Software Repository), and http://genamics.com/software/index.htm may contain archived copy of some programs. | gene mapping, gene, genetic, genomic, model, modeling, software program, genetic linkage analysis, qtl analysis, genetic marker order, genetic association analysis, haplotype construction, pedigree drawing, population genetics |
is used by: NIF Data Federation lists: EM-DECODER lists: ENTROPY BLOCKER lists: SOAP lists: ADEGENET lists: 2LD lists: SQTL lists: POLYMORPHISM lists: EDAC lists: FEST lists: GENEHUNTER SAD lists: COMDS lists: CHAPLIN lists: CRIMAP lists: DCHIP LINKAGE lists: FLOSS lists: HAP 1 lists: HAPSCOPE lists: LDB/LDB+ lists: LOCUSMAP lists: MRH lists: PEDIGREE-VISUALIZER lists: PEDPHASE lists: QTL CAFE lists: RHMAPPER lists: R/GC, R/GCF lists: R/GWAPOWER lists: R/WEIGHTED FDR lists: SIMM lists: SOLAR lists: TDTHAP lists: HWESTRATA lists: TDT-PC lists: EQTL EXPLORER lists: GAS2 lists: LDMET lists: LAMBDAA lists: EIGENSOFT/EIGENSTRAT lists: Happy lists: LAMP lists: CLUSTAG lists: OSA lists: SIMIBD lists: SNPSTATS lists: Haploview lists: QGene lists: PAWE-3D lists: MILD lists: PEDPLOT lists: GS-EM lists: PEDSCRIPT lists: Multipoint Identical-by-descent Method lists: PARENTE lists: Integrated Software lists: PEDRAW/WPEDRAW lists: POPDIST lists: TDTASP lists: TDTPOWER lists: TDT/S-TDT lists: HAPLOBLOCKFINDER lists: HAPMIXMAP lists: Genotype-IBD Sharing Test lists: LDGROUP lists: LDHAT lists: LDMAP lists: LDHEATMAP lists: LDSELECT lists: LINKAGE lists: LDSUPPORT lists: FASTLINK lists: LINKAGE - CEPH lists: LSP lists: Whap lists: TREESCAN lists: Graphical Overview of Linkage Disequilibrium lists: MAIA lists: MULTIMAP lists: R/ADEGENET lists: R/ENTROPY BLOCKER lists: BEAM lists: BMAPBUILDER lists: POPGEN lists: RTDT lists: R/SPECTRAL-GEM lists: R/STEPWISE lists: HAPLOCLUSTERS lists: TKMAP lists: CLUMP lists: FAMOZ lists: INTEGRAYEDMAP lists: SIBMED lists: POOLSCORE lists: LDA lists: LAPSTRUCT lists: BETA lists: ALTree lists: TRANSMIT lists: ETDT lists: R/TDTHAP lists: RVTESTS lists: S lists: ET-TDT lists: ILR lists: MAPCREATOR lists: MAPMAKER/SIBS lists: MAP MANAGER QT lists: MGA-MAPF2 lists: Pedigree-Draw lists: FASTMAP (1) lists: ASPEX lists: PEDJAVA lists: PEDPEEL lists: SIMCOAL lists: SNPHAP lists: SNPHARVESTER lists: SNP-HWE lists: TAGSNP lists: FASTMAP (2) lists: FASTSLINK lists: GASP lists: GENOGRAM-MAKER lists: GENEHUNTER++SAD lists: GENEPI.JAR lists: BDGEN lists: TLINKAGE lists: GENOME lists: EASYPOP lists: GENOMESIMLA lists: TRAP lists: CARTHAGENE lists: ACT lists: ADMIXMAP lists: 2DMAP lists: ALBERT lists: 2SNP lists: AGEINF lists: ALLASS lists: PEDIGREEQUERY lists: PATH lists: MULTIQTL lists: SPERMSEG lists: FASTER lists: Platypus lists: KIN lists: SNP ASSISTANT lists: GRONLOD lists: COMBIN lists: ARLEQUIN lists: SEGPATH lists: JENTI lists: SCOUT lists: HAPLOREC lists: UNPHASED lists: POWER lists: HAPLO 1 lists: HAPLO 2 lists: CHIP2SPELL lists: MAP MANAGER QTX lists: G-MENDEL lists: ASSOCIATIONVIEWER lists: WHICHRUN lists: GENECLASS lists: MAREYMAP lists: HELIXTREE lists: SVCC lists: GENEHUNTER-MODSCORE lists: FAMHAP lists: BAMA lists: WEBQTL lists: HAPLOVISUAL lists: CASPAR lists: GC/GCF lists: MIXSCORE lists: POWQ lists: QTLNetwork lists: SIMULAPLOT lists: SQTDT/SPDT lists: FESTA lists: BOTTLENECK lists: PAP lists: QUANTO lists: R/QTL lists: SNPEM lists: GENEPOOL lists: EPISTACY lists: VITESSE lists: LEA lists: DMAP lists: MOSCPHASER lists: UMAKE lists: TDT-AE lists: HAPLOWSER lists: STEPC lists: RECORD lists: QUTIE lists: R/COMPOSITELD lists: FINESSE lists: R/EHP lists: R/HCLUST lists: STEPWISE lists: genehunter-imprinting lists: PBAT lists: R/BARS lists: HARDY lists: R/ARP.GEE lists: R/COVIBD lists: STRAT lists: TREELD lists: TUNA lists: SIBSIM lists: IGG lists: ALLELIX lists: ALLEGRO lists: ALOHOMORA lists: ALP lists: AMELIA lists: ANALYZE lists: ANCESTRY lists: APE lists: BARS lists: APL-OSA lists: APM lists: ARIEL lists: GENOMIZER lists: ASP/ASPSHARE lists: BIMBAM lists: BIOIDE lists: BIOLAD-DB lists: BLADE lists: BLOCK lists: BOOLD lists: BOOSTRAPPER lists: BPPH lists: BQTL lists: DNABASER lists: Calculator for Association with Two Stage design lists: CC-QLS lists: CCRAVAT lists: CCREL lists: CEPH2CRI lists: CEPH2MAP lists: EVOKER lists: CFC lists: CHECKHET lists: MATLINK lists: CHECKMATRIX lists: CHIAMO lists: CHROMOSCAN lists: CHROMOSEG lists: COPE lists: HCLUST lists: COVIBD lists: CRIMAP-PVM lists: CROSSFIND lists: DGENE lists: EHPLUS lists: DHSMAP lists: DISENTANGLER lists: MAKEPED lists: DOLINK lists: DPPH lists: GREGOR lists: EAGLET lists: EASYLINKAGE/EASYLINKAGE-PLUS lists: EH lists: EHAP lists: EHP lists: EMLD lists: EPDT lists: ERPA lists: EXOMEPICKS lists: R/META lists: FASTEHPLUS lists: FASTLINK lists: FBAT lists: FINETTI lists: FIRSTORD lists: FISHER lists: GAIA lists: GAP lists: GAS lists: GCHAP lists: GDA lists: GEMS lists: GENECOUNTING lists: GENEFINDER lists: GENEHUNTER lists: GENEHUNTER-IMPRINTING lists: GENEHUNTER-PLUS lists: GENEPOP lists: GENERECON lists: GENESPRING GT lists: GENIE lists: GENETIC POWER CALCULATOR lists: GENETSIM lists: GENOOM lists: GENEVAR lists: GENEWEAVER lists: GENOCHECK lists: GENOPROOF lists: GENTOOLS lists: GEST lists: GEVALT lists: GGT lists: GHOST lists: GLIDERS lists: GLUE lists: GMA lists: GMCHECK lists: GSMA lists: GTOOL lists: GWAPOWER lists: HAP 2 lists: HAPAR lists: HAPASSOC lists: HAPBLOCK lists: HAPGEN lists: HAPINFERX lists: HAPLOBLOCK lists: HAPLOBUILD lists: HAPLOPOOL lists: HAPLORE lists: HAPLO.STAT lists: HAPLOT lists: HAPLOTTER lists: TWOLOC lists: HAPLOTYPE ESTIMATION lists: HAPLOTYPER lists: HAPMINER lists: HAP-SAMPLE lists: HAPSIMU lists: HIT lists: HOMOG/HOMOGM lists: HOTSPOTTER lists: HPLUS lists: HS-TDT lists: HTR lists: HTSNPER lists: MDR-PDT lists: INTERSNP lists: IMPUTE lists: NOPAR lists: JLIN lists: JOINMAP lists: JPSGCS lists: J/QTL lists: KING lists: LAMARC lists: LINKAGE-IMPRINT lists: LINKBASE lists: LIPED lists: LNKTOCRI lists: LOCUSZOOM lists: LOGINSERM ESTIHAPLO lists: LOH-LINKAGE lists: LOKI lists: LOT lists: L-POP lists: LRP lists: LRTAE lists: LTSOFT lists: MADMAPPER lists: Marker And Gene Interpolation and Correlation lists: MALDSOFT lists: MAMA lists: MANTEL-STRUCT lists: MAP/MAP+/MAP+H/MAP2000 lists: MAPCHART lists: MIDAS lists: MAPDISTO lists: MAPDRAW lists: MAPINSPECT lists: MAPL lists: MARGARITA lists: MDBLOCKS lists: MAPMAKER/EXP lists: MAPMAKER/HOMOZ lists: MAPMAKER/QTL lists: MAPQTL lists: MCQTL lists: MEGA2 lists: MEGASNPHUNTER lists: MENDEL lists: MERLIN lists: MFLINK lists: MINIMAC lists: MINSAGE lists: MITPENE lists: MKGST lists: MMDRAWER lists: MLBGH lists: MLD lists: MLR-TAGGING lists: PEDMANAGER lists: SAGE lists: MPDA lists: MULTIDISEQ lists: MULTIMAPPER lists: MULTIMAPPER/OUTBRED lists: MULTIPOPTAGSELECT lists: MULTISIM lists: MUTAGENESYS lists: NOCOM lists: NUCULAR lists: ONEMAP lists: OSIRIS lists: P ACT lists: PASS PEDIGREE lists: PAWE lists: PDA lists: PDPSYS lists: PDT lists: PED lists: PEDAGREE lists: PEDCHECK lists: PEDSTATS lists: PEDSYS lists: PEDVIZAPI lists: PEER lists: PHASE lists: PLABSIM lists: PL-EM lists: POINTER lists: POOL STR lists: POWERMARKER lists: POWERTRIM lists: POWTEST lists: PREPLINK lists: PREST lists: PROBMAX lists: PROC QTL lists: PROFILER lists: PRT lists: PSAT lists: SAS/GENETICS lists: PSEUDO lists: PSEUDOMARKER lists: PSEUDOMARKER.M lists: R/LDHEATMAP lists: QTL-ALL lists: QTL Cartographer lists: QTL EXPRESS lists: QU-GENE lists: RISCALW lists: RC-TDT lists: REAPER lists: RELATIVE lists: RELATIVEFINDER lists: RELCHECK lists: RELPAIR lists: RELTYPE lists: RHMAP lists: ROMPREV lists: ROSATTA SYLLEGO SYSTEM lists: R/GAP lists: R/HAPASSOC lists: R/IBDREG lists: R/LAPSTRUCT lists: R/LDGROUP lists: R/LUCA lists: R/METASIM lists: R/ONEMAP lists: R/PIAGE lists: R/POOLSCORE lists: R/POPGEN lists: R/QTLBIM lists: R/SNP.PLOTTER lists: SDMINP lists: SELSIM lists: SEQUENCE LD/SEQUENCE LDHOT lists: SIBERROR lists: SIBLINK lists: SIB-PAIR lists: SILCLOD lists: SIMLA lists: SNP CHART lists: SIMLINK lists: SIMPED lists: SIMPLE lists: SIMULA lists: SIMULATE lists: SIMUPOP lists: SIMWALK lists: START lists: SKAT lists: SLINK lists: SMOOTH lists: Suite of Nucleotide Analysis Programs lists: SNAP 3 lists: SNPALYZE lists: SNPFILE lists: SNPLINK lists: SNPP lists: SNP.PLOTTER lists: SNPTEST lists: SPAM lists: SPECTRAL-GEM lists: SPERM lists: SPIP lists: SPLAT lists: TAGSTER lists: SPLINK lists: SSAHASNP lists: SUMSTAT lists: SUP lists: SWEEP lists: TAGGER lists: TFPGA lists: TREESELECT lists: UNKNOWN lists: UTIL lists: WHAIT lists: ZAPLO lists: HAPBLOCK 2 lists: PLABQTL lists: TASSEL lists: MCLEEPS lists: SASGENE lists: PANGAEA lists: TOMCAT lists: SCORE-SEQ lists: SASQUANT lists: QMSIM lists: PIAGE lists: PEDPACK lists: INSEGT lists: IBDREG lists: GLFSINGLE/GLFTRIO/GLFMULTIPLES lists: GGSD lists: ECLIPSE lists: CHROMSCAN lists: COMPOSITELD lists: BOOST lists: ARP.GEE lists: BOREL lists: GASSOC lists: MENDELSOFT lists: PLINK/SEQ lists: POLYPHEN lists: SPREG lists: MOLKIN lists: PRESTO: Genetic Association Analysis Software lists: ENDOG lists: BEAGLECALL lists: GWASELECT lists: HEGESMA lists: SNIPPEEP lists: TAGIMPUTE lists: SNPMSTAT lists: SNP HITLINK lists: MECPM lists: R/FEST lists: MAOS lists: SUPERLINK lists: PEDFIDDLER lists: VG lists: HAPSTAT lists: QTDT lists: GRIDQTL lists: VH lists: R/QTLDESIGN lists: PyPop lists: ANTMAP lists: MDR lists: WEIGHTED FDR lists: THESIAS lists: DMLE lists: SGS lists: BAYESFST lists: HWMET lists: GRR lists: AUTOSCAN lists: TRIMHAP lists: ILLUMINUS lists: PELICAN lists: HAPLOPAINTER lists: HOMOZYGOSITYMAPPER lists: GERMLINE lists: PLINK lists: MACH 1.0 lists: BEAGLE lists: BIRDSUITE lists: BREAKDANCER lists: CAROL lists: CASAVA lists: CYRILLIC lists: DINDEL lists: GenABEL lists: GATK lists: PEDIGRAPH lists: MADELINE lists: METAL lists: OLORIN lists: PEDHUNTER lists: POLYMUTT lists: SAMTOOLS lists: SNAP - SNP Annotation and Proxy Search lists: STRUCTURE lists: SVA lists: SYZYGY lists: VAAST lists: Hapmix lists: Ancestrymap lists: Hmmer lists: PROGENY lists: VarScan lists: MORGAN lists: CMAP lists: SIMHAP lists: SIFT lists: ANNOVAR lists: Body Mass Index Calculator lists: PolyPhen: Polymorphism Phenotyping has parent organization: Feinstein Institute for Medical Research has parent organization: Iowa State University; Iowa; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33506 | http://lab.rockefeller.edu/ott/geneticsoftware | http://linkage.rockefeller.edu/soft/ | SCR_013155 | An Alphabetic List of Genetic Analysis Software | 2026-09-12 12:57:59 | 9 | |||||
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ARP.GEE Resource Report Resource Website 1+ mentions |
ARP.GEE (RRID:SCR_013134) | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software application that simultaneously estimates a trait-locus position and its genetic effects for affected relative pairs (ARP) by one of two methods. Either allow a different trait-locus effect for each ARP type, or constrain the trait-locus effects according to the marginal effect of a single susceptibility locus. We include a goodness of fit statistic for the constrained model. (entry from Genetic Analysis Software) | gene, genetic, genomic, r/s-plus | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154206, SCR_009108, nlx_154232 | SCR_013134 | R/ARP.GEE | 2026-09-12 12:57:59 | 7 | ||||||||
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PolyPhen: Polymorphism Phenotyping Resource Report Resource Website 1000+ mentions |
PolyPhen: Polymorphism Phenotyping (RRID:SCR_013189) | PolyPhen, PolyPhen-2, POLYPHEN | data analysis software, data processing software, simulation software, software application, software resource | Software tool which predicts possible impact of amino acid substitution on structure and function of human protein using straightforward physical and comparative considerations. PolyPhen-2 is new development of PolyPhen tool for annotating coding nonsynonymous SNPs. | annotate, nonsynonymous, SNP, predict, coding, damaging, effect, missense, mutation, sequence, variant, phenotype, genetic, disease, exon, protein, coding, fraction, genome, bio.tools |
is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools is related to: OMICtools has parent organization: Harvard University; Cambridge; United States |
PMID:20354512 PMID:23315928 |
SCR_013200, OMICS_00136, nlx_154540, nif-0000-21329, biotools:polyphen, SCR_013238 | https://bio.tools/polyphen | http://www.bork.embl-heidelberg.de/PolyPhen/ | SCR_013189 | PolyPhen, POLYPHEN, PolyPhen-2, Polymorphism Phenotyping, Polymorphism Phenotyping v2 | 2026-09-12 12:58:00 | 4723 | |||||
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eQTL Visualization Tool Resource Report Resource Website 1+ mentions |
eQTL Visualization Tool (RRID:SCR_013413) | data processing software, data visualization software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1,2023. eQTL Explorer was developed as a computational resource to visualize and explore data from combined genome-wide expression and linkage studies is essential for the development of testable hypotheses. This visualization tool stores expression profiles, linkage data and information from external sources in a relational database and enables simultaneous visualization and intuitive interpretation of the combined data via a Java graphical interface. eQTL Explorer also provides a new and powerful tool to interrogate these very large and complex datasets. eQTLexplorer allows users to mine and understand data from a repository of genetical genomics experiments. It will graphically display eQTL information based on a certain number of selection criteria, including: tissue type, p-value, cis/trans, probeset Affymetrix id and PQTL type. Sponsors: This work was funded by the MRC Clinical Sciences Centre and the Wellcome Trust programme for Cardiovascular Functional Genomics. | experiment, explore, expression, genome, genetic, genetical, cis, computational, data, database, genomic, grafical, interface, linkage, mine, pqtl type, p-value, repository, tissue, tissue type, trans, visualization, visualize | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10222 | SCR_013413 | eQTLexplorer | 2026-09-12 12:58:03 | 1 | |||||||||
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SIFT Resource Report Resource Website 10000+ mentions |
SIFT (RRID:SCR_012813) | SIFT | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, source code, web service | Data analysis service to predict whether an amino acid substitution affects protein function based on sequence homology and the physical properties of amino acids. SIFT can be applied to naturally occurring nonsynonymous polymorphisms and laboratory-induced missense mutations. (entry from Genetic Analysis Software) Web service is also available. | gene, genetic, genomic, amino acid, substitution, protein function, coding region, single nucleotide variant, coding indel, deletion, insertion, sequence, protein, bio.tools |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: SIFT 4G has parent organization: Genome Institute of Singapore; Singapore; Singapore has parent organization: J. Craig Venter Institute |
Agency for Science Technology and Research ; NIGMS GM29009 |
PMID:19561590 PMID:12824425 PMID:11337480 DOI:10.1038/nprot.2009.86 |
Non-commercial | biotools:sift, OMICS_00137, nlx_154618 | http://sift.jcvi.org/, https://bio.tools/sift, https://sources.debian.org/src/sift/ | http://sift.bii.a-star.edu.sg/SIFT.html | SCR_012813 | Sorting Intolerant From Tolerant | 2026-09-12 12:57:53 | 10996 | |||
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Rice Proteome Database Resource Report Resource Website 1+ mentions |
Rice Proteome Database (RRID:SCR_000743) | data or information resource, database |
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 22, 2016. A database on the proteome of rice that contains reference maps based on two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) of proteins from rice tissues and subcellular compartments. |
rice, proteome, gene, genetic, eleoctrophoresis, 2d-page, tissue, subcellular compartments | has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan | PMID:16217611 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03409 | http://dbarchive.biosciencedbc.jp/en/rpd/desc.html | SCR_000743 | 2026-09-12 01:01:20 | 2 | |||||||
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NHGRI Dog Genome Project Resource Report Resource Website 1+ mentions |
NHGRI Dog Genome Project (RRID:SCR_002256) | NHGRI Dog Genome Project | data or information resource, database | The Dog Genome Project at the National Human Genome Research Institute is working to develop resources necessary to map and clone canine genes in an effort to utilize dogs as a model system for genetics and cancer research. The US National Human Genome Research Institute (NHGRI) agreed to fund a project to sequence the entire genome of a boxer dog named Tasha, because it recognized the value of the dog as an unrivaled model for the study of human disease. The National Human Genome Research Institute (NHGRI) led the National Institutes of Health's (NIH) contribution to the International Human Genome Project, which had as its primary goal the sequencing of the human genome. This project was successfully completed in April 2003. Now, the NHGRI's mission has expanded to encompass a broad range of studies aimed at understanding the structure and function of the human genome and its role in health and disease. To that end NHGRI supports the development of resources and technology that will accelerate genome research and its application to human health. A critical part of the NHGRI mission continues to be the study of the ethical, legal and social implications (ELSI) of genome research. NHGRI also supports the training of investigators and the dissemination of genome information to the public and to health professionals. | gene, genetic, cancer, canine, clone, disease, dog, genome, health, human, map, model, system | PMID:16102268 | nif-0000-20975 | SCR_002256 | National Human Genome Research Institute Dog Genome Project | 2026-09-12 01:01:25 | 1 | ||||||||
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German Collection of Microorganisms and Cell Cultures Resource Report Resource Website 100+ mentions |
German Collection of Microorganisms and Cell Cultures (RRID:SCR_001711) | DSMZ | data or information resource, database | The DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (German Collection of Microorganisms and Cell Cultures) is the most comprehensive biological resource center in Europe. With more than 18.000 microorganisms, 1.200 plant viruses, 600 human and animal cell lines, 770 plant cell cultures and more than 7.100 cultures deposited for the purposes of patenting, DSMZ has demonstrated their obligation to serve science for decades. Main functions of DSMZ are: - to collect, maintain and store microorganisms and cell lines, as well as other biological material of relevance for applied biology, biotechnology, microbiology, teaching and other areas of research and general application; - to keep the scientific and industrial community informed on the contents of the collections by the means of catalogs, special lists, databases or electronic media; - to supply scientists and institutions with DSMZ cultures, in accordance with national and international laws such as the Infektionsschutzgesetz (Act dealing with protection against infection), the Genetic Engineering Act, the Foreign Trade Laws, the Convention on Biological Diversity as well as the DSMZ terms of supply; - to function as an internationally recognized collection center for the deposit of microorganisms, cell lines, and other biological material which have been cited in scientific literature or which are used in national or international test procedures (e.g. type strains, reference strains for national and international quality control regulations or susceptibility tests, strains with special properties, such as the production of enzymes, degradation of pollutants, host strains for plasmids, etc.); - to act as an International Depositary Authority (IDA) for the deposit of biological material for patent purposes according to the Budapest Treaty; - to act, in a confidential manner, as a center for the safe deposit of biological material; - to act as an advisory center for the scientific community and to offer teaching and service facilities. The DSMZ collections contain over 26 000 cultures (including 6500 patent deposits) representing more than 16 000 cultures of microorganisms (Archaea, Bacteria, plasmids, phages, yeasts, fungi), 750 plant cell cultures, 600 plant viruses, 700 antisera and 580 human and animal cell lines. Unique subcollections are held in the prokaryotes groups of acidophiles, alkaliphiles, halophiles, methanogens, phototrophs, thermophiles, and sulfate reducers. The research is focused on collection related fields which include: - Taxonomy - Evolution - Phylogeny - Microbial diversity and molecular assessment of diversity - Molecular systematics - Research on pathobiological aspects of leukemia-lymphoma cell lines applying classical and molecular genetics, immunological and cell biological methods * Development of cultivation and preservation methods for biological material * Characterization and identification of biological material | enzyme, europe, evolution, fungus, genetic, acidophile, alkaliphile, animal, antisera, archaea, bacteria, biological, biology, biotechnology, cell, cell culture, culture, degradation, diversity, halophile, host, human, human cell line, immunological, leukemia, literature, lymphoma, methanogen, microbial, microbiology, microorganism, molecular, pathobiological, phage, phototroph, phylogeny, plant, plant virus, plasmid, pollutant, prokaryote, reducer, research, science, scientific, strain, sulfate, systematic, taxonomy, thermophile, virus, yeast, FASEB list |
is listed by: DataCite is listed by: re3data.org is parent organization of: SILVA works with: Cellosaurus |
PMID:18080463 | Free, Freely Available | DOI:10.17616/R3G88X, nif-0000-10209, r3d100010219, DOI:10.13145 | https://doi.org/10.17616/R3G88X, https://doi.org/10.17616/r3G88X, https://doi.org/10.13145/, https://dx.doi.org/10.13145/, https://doi.org/10.17616/R3G88X | SCR_001711 | Leibniz Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH, Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures | 2026-09-12 01:01:23 | 424 | |||||
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WD repeat Family of Proteins Resource Report Resource Website |
WD repeat Family of Proteins (RRID:SCR_002160) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. This website contains a library of WD-repeat containing proteins in which the repeats appear as multi-aligned sets. WD-repeat-containing proteins are those that contain 4 or more copies of the WD-repeat (tryptophan-aspartate repeat), a sequence motif approximately 31 amino acids long, that encodes a structural repeat. This repeat is described by the following profile, where x is ANY amino acid. By clicking on each high-lighted character you will obtain the distribution of amino acids found at that position of the repeat among an aligned set of WD-repeat containing proteins. The tertiary structure of only one member of this family has been determined, that of the G protein beta subunit, which contains 7 WD-repeats. Each of the 7 repeats folds into a small antiparallel beta-sheet. The over-lines above indicate the position of these strands, with a being the strand closest to the central pore and d at the external surface of the folded protein. These sheets are arranged around a central pseudosymmetry axis into a beta propeller. The WD-repeat-containing proteins form a very large family that is diverse in both its function and domain structure. Within all these proteins the WD-repeat domains are thought to have two common features: the domain folds into a beta propeller; and the domains form a platform without any catalytic activity on which multiple protein complexes assemble reversibly. The fact that these proteins play such key roles in the formation of protein-protein complexes in nearly all the major pathways and organelles unique to eukaryotic cells has two important implications. It supports both their ancient and proto eukaryotic origins and supports a likely association with many genetic diseases. | eukaryotic, function, genetic, align, amino acid, ancient, antiparallel, aspartate, beta, cell, disease, domain, g protein, multi-aligned, organelle, origin, pathway, propeller, protein, proto, pseudosymmetry, sheet, structural, tertiary, tryptophan, wd-repeat | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20949 | SCR_002160 | WD repeat Family of Proteins | 2026-09-12 01:01:24 | 0 | |||||||||
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Interaction Reference Index Resource Report Resource Website 10+ mentions |
Interaction Reference Index (RRID:SCR_002085) | iRefIndex | data or information resource, database | An index of protein interactions available in a number of primary interaction databases including BIND, BioGRID, CORUM, DIP, HPRD, IntAct, MINT, MPact, MPPI and OPHID. This index includes multiple interaction types including physical and genetic (mapped to their corresponding protein products) as determined by a multitude of methods. This index allows the user to search for a protein and retrieve a non-redundant list of interactors for that protein. iRefIndex uses the Sequence Global Unique Identifier (SEGUID) to group proteins and interactions into redundant groups. This method allows users to integrate their own data with the iRefIndex in a way that ensures proteins with the exact same sequence will be represented only once. iRefIndex project has three long term objectives: # to facilitate exchange of interaction data between interaction databases. # to consolidate interaction data from multiple sources. # to provide feedback to source interaction databases. iRefIndex is made available in a number of formats: MITAB tab-delimited text files, iRefWeb interface, iRefScape plugin for Cytoscape, PSICQUIC Web services, and an interface for the R programming language environment. | genetic, interaction, protein, protein interaction, protein-protein interaction |
is related to: BIND is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: CORUM is related to: Database of Interacting Proteins (DIP) is related to: HPRD - Human Protein Reference Database is related to: InnateDB is related to: IntAct is related to: MatrixDB is related to: MINT is related to: MPact: Representation of Interaction Data at MIPS is related to: MPIDB is related to: MIPS Mammalian Protein-Protein Interaction Database is related to: I2D is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry |
PMID:18823568 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20860 | http://irefindex.uio.no | SCR_002085 | 2026-09-12 01:01:23 | 22 | ||||||
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GeneCards Resource Report Resource Website 5000+ mentions |
GeneCards (RRID:SCR_002773) | GeneCards | data or information resource, database | Database of human genes that provides concise genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. Information featured in GeneCards includes orthologies, disease relationships, mutations and SNPs, gene expression, gene function, pathways, protein-protein interactions, related drugs and compounds and direct links to cutting edge research reagents and tools such as antibodies, recombinant proteins, clones, expression assays and RNAi reagents. | genome, human gene, genome, gene, genomic, proteomic, transcriptomic, genetic, function, ortholog, disease, mutation, single nucleotide polymorphism, gene expression, gene function, pathway, protein-protein interaction, drug, compound, reagent, antibody, recombinant protein, clone, expression assay, rnai reagent, FASEB list |
is listed by: OMICtools is related to: MOPED - Model Organism Protein Expression Database |
PMID:20689021 | Free, Freely available | nif-0000-02879, OMICS_01652, r3d100012015 | http://bioinfo.weizmann.ac.il/genecards/, https://doi.org/10.17616/R3D643 | SCR_002773 | GeneCards - The Human Gene Compendium | 2026-09-12 01:01:26 | 7635 | |||||
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LINCS Connectivity Map Resource Report Resource Website 500+ mentions |
LINCS Connectivity Map (RRID:SCR_002639) | CMap | data or information resource, database | A catalog of gene-expression data collected from human cells treated with chemical compounds and genetic reagents. Computational methods to reduce the number of necessary genomic measurements along with streamlined methodologies enable the current effort to significantly increase the size of the CMap database and along with it, our potential to connect human diseases with the genes that underlie them and the drugs that treat them. The NIH has funded a large expansion of the Connectivity Map dataset through the Library of Integrated Network-based Cellular Signatures (LINCS). The Broad Institute's LINCS center aims to create a first installment of data generation and analysis for the LINCS program. Through these data LINCS intends to accelerate the discovery process by systematically revealing connections between genes/compounds discovered in screens and molecular pathways that underlie disease states. | functional genomics, gene, cell, gene expression, compound, molecule, pathway, disease, perturbagen, gene expression profile, genetic, cellular, chemical reagent, FASEB list |
has parent organization: Broad Institute has parent organization: HMS LINCS Database |
NIH Common Fund | PMID:28069634 | Free, Freely available | nlx_156066 | SCR_002639 | Connectivity Map | 2026-09-12 01:01:26 | 650 | |||||
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Hapmix Resource Report Resource Website 50+ mentions |
Hapmix (RRID:SCR_004203) | HAPMIX | software application, software resource, source code | Software application that uses genotyping data from SNP arrays for accurately inferring chromosomal segments of distinct continental ancestry in admixed populations, using dense genetic data. (entry from Genetic Analysis Software) | gene, genetic, genomic, admixed, population, genotype, single nucleotide polymorphism, ancestry, chromosomal segment, snp array |
is listed by: OMICtools is listed by: Genetic Analysis Software has parent organization: Harvard Medical School; Massachusetts; USA |
NHGRI U01-HG004168; NHLBI R01-HL087699 |
PMID:19543370 | Restricted | nlx_22768, OMICS_02082 | http://www.hsph.harvard.edu/faculty/alkes-price/software/, http://www.stats.ox.ac.uk/~myers/software.html, https://reich.hms.harvard.edu/software | http://genetics.med.harvard.edu/reich/Reich_Lab/Software.html | SCR_004203 | 2026-09-12 01:01:30 | 52 | ||||
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Hungarian Neurological-Psychiatric Biobank Resource Report Resource Website |
Hungarian Neurological-Psychiatric Biobank (RRID:SCR_003715) | NEPSYBANK | biomaterial supply resource, material resource, tissue bank | The Hungarian Society of Clinical Neurgenetics established a nationwide collaboration for prospective collection of human biological materials and databases from patient with neurological and psychiatric diseases. The basic triangle of the NEPSYBANK is the sample, the information and the study management. The present participants of the NEPSYBANK are the Department of Neurology and Psychiatry of the four Medical Universities (in Budapest, Debrecen, Pecs, Szeged) and the National Institute of Psychiatry and Neurology in Budapest. The NEPSYBANK is a disease based biobank collecting both phenotypical and environmental data and biological materials such as DNA/RNA, whole blood, plasma, cerebral spinal fluid, muscle / nerve / skin biopsy, brain, and fibroblast. The target of the diseases is presently (Phase I): stroke syndromes, dementias, movement disorders, motoneuron diseases, epilepsy, multiple sclerosis, schizophrenia, alcohol addiction. In the near future (Phase II.) it is planned to enlarge the scale with headaches, disorders of the peripheral nerves, disorders of neuromuscular transmission, disorders of skeletal muscle, depression, anxiety. DNA/RNA is usually extracted from whole blood, but occasionally different tissues such as muscle, brain etc. can be used as well. The extracting procedures differ among the institutes, but in all cases the concentration and the quality of the DNA/RNA must be registered in the database. Participating institutional biobanks have committed themselves to follow common quality standards, which provide access to samples after prioritization on scientific grounds only. In every case the following data are registered. 1. General data: main bank categories, age, sex, ethnicity, body height, body weight, economic stats, education, type of place of living, marital status, birth complications, alcohol, drugs, smoking. 2. Sample properties (sample ID, type of sample, date of extraction, concentration, and level of purity). General patient data as blood pressure, heart rate, internal medical status, ECG, additional diseases. Disease specific question e.g. in schizophrenia the diagnosis after DSMIV and ICD 10, detailed diagnostic questions after both classification, detailed psychiatric and neurological status, laboratory findings, rating scales, data of neuroimaging, genetic tests, applied medication (with generic name, dose, duration), adverse drug effects and other treatments. The Biobank Information Management System (BIMS) is responsible for linkage of databases containing information on the individual sample donors. If you want to have samples from the NEPSYBANK an application must be submitted containing the following information: short research plan including aims and study design, ethic application with a positive decision, specific demands regarding the right of disposition, agreements with grant organizations which regulate immaterial property, information about financing (academic grants, support from industry). All participants have the right to withdraw their samples through a simple order. | neurology, psychiatry, genomic, gene, genetic, disease, phenotype, clinical data, environment, dna, rna, whole blood, plasma, cerebral spinal fluid, muscle, biopsy, nerve, skin, brain, fibroblast, tissue, blood, frozen, liquid nitrogen, neurological disease, psychiatric disease, stroke, dementia, movement disorder, motor neuron disease, epilepsy, multiple sclerosis, schizophrenia, alcohol, addiction, alcohol addiction, headache, peripheral nerve disorder, neuromuscular transmission disorder, skeletal muscle disorder, depressive disorder, anxiety | is listed by: One Mind Biospecimen Bank Listing | Neurological disease, Psychiatric disease, Stroke, Dementia, Movement disorder, Motor Neuron Disease, Epilepsy, Multiple Sclerosis, Schizophrenia, Alcohol addiction, Headache, Peripheral nerve disorder, Neuromuscular transmission disorder, Skeletal muscle disorder, Depressive Disorder, Anxiety | PMID:17448454 | Public: if you want to have samples from the NEPSYBANK an application must be submitted. | nlx_13478 | SCR_003715 | Hungarian Neurological - Psychiatric Biobank, Hungarian Neurological - Psychiatric Biobank - NEPSYBANK | 2026-09-12 01:01:29 | 0 | |||||
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Wiring the Brain Resource Report Resource Website |
Wiring the Brain (RRID:SCR_005528) | Wiring the Brain | blog, data or information resource, narrative resource | This blog highlights and comments on current research and hypotheses relating to how the brain wires itself up during development, how the end result can vary in different people and what happens when it goes wrong. It includes discussions of the genetic and neurodevelopmental bases of traits such as intelligence and personality characteristics, as well as of conditions such as schizophrenia, autism, dyslexia, epilepsy, synaesthesia and others. | research, brain, development, genetic, wiring, neurodevelopment, trait, intelligence, personality, schizophrenia, autism, dyslexia, epilepsy, synaesthesia | Schizophrenia, Autism, Dyslexia, Epilepsy, Synaesthesia, Etc. | nlx_144622 | SCR_005528 | 2026-09-12 01:01:38 | 0 | |||||||||
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Stroke Patient Recovery Research Database (SPReD) Resource Report Resource Website |
Stroke Patient Recovery Research Database (SPReD) (RRID:SCR_005508) | SPReD | data or information resource, database, image | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 28,2025. The Stroke Patient Recovery Research Database (SPReD) initiative creates the infrastructure needed for the collection of a wide range of data related to stroke risk factors and to stroke recovery. It also promotes the analysis and management of large brain and vessel images. A major goal is to create a comprehensive electronic database Stroke Patient Recovery Research Database or SPReD and populate it with patient data, including demographic, biomarker, genetic and proteomic data and imaging data. SPReD will enable us to combine descriptions of our stroke patients from multiple projects that are geographically distributed. We will do this in a uniform fashion in order to enhance our ability to document rates of recovery; to study the effects of vascular risk factors and inflammatory biomarkers; and to use these data to improve their physical and cognitive recovery through innovative intervention programs. This comprehensive database will provide an integrated repository of data with which our researchers will investigate and test original ideas, ultimately leading to knowledge that can be applied clinically to benefit stroke survivors. | stroke, demographic, biomarker, genetic, proteomic, imaging, clinical, brain, vessel, risk factor, recovery | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144609 | SCR_005508 | Stroke Patient Recovery Research Database | 2026-09-12 01:01:38 | 0 | ||||||||
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Center for Computational Biology at UCLA Resource Report Resource Website |
Center for Computational Biology at UCLA (RRID:SCR_000334) | CCB, UCLA CCB, USC CCB | data or information resource, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31, 2022. Center focused on the development of computational biological atlases of different populations, subjects, modalities, and spatio-temporal scales with 3 types of resources: (1) Stand-alone computational software tools (image and volume processing, analysis, visualization, graphical workflow environments). (2) Infrastructure Resources (Databases, computational Grid, services). (3) Web-services (web-accessible resources for processing, validation and exploration of multimodal/multichannel data including clinical data, imaging data, genetics data and phenotypic data). The CCB develops novel mathematical, computational, and engineering approaches to map biological form and function in health and disease. CCB computational tools integrate neuroimaging, genetic, clinical, and other relevant data to enable the detailed exploration of distinct spatial and temporal biological characteristics. Generalizable mathematical approaches are developed and deployed using Grid computing to create practical biological atlases that describe spatiotemporal change in biological systems. The efforts of CCB make possible discovery-oriented science and the accumulation of new biological knowledge. The Center has been divided into cores organized as follows: - Core 1 is focused on mathematical and computational research. Core 2 is involved in the development of tools to be used by Core 3. Core 3 is composed of the driving biological projects; Mapping Genomic Function, Mapping Biological Structure, and Mapping Brain Phenotype. - Cores 4 - 7 provide the infrastructure for joint structure within the Center as well as the development of new approaches and procedures to augment the research and development of Cores 1-3. These cores are: (4)Infrastructure and Resources, (5) Education and Training, (6) Dissemination, and (7) Administration and Management. The main focus of the CCB is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging. | functional, genetic, biological system, brain, clinical, computational, computational mathematic, disease, health, image processing, physiological, population, structural, neuroimaging, computational neuroscience, imaging genomics, magnetic resonance, pet, spect |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: National Centers for Biomedical Computing has parent organization: Laboratory of Neuro Imaging |
NCRR U54 RR021813 | PMID:22081221 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10492 | http://ccb.loni.ucla.edu/ | http://www.nitrc.org/projects/ccb, http://cms.loni.ucla.edu/CCB/ | SCR_000334 | CCB at UCLA, Center for Computational Biology | 2026-09-12 01:00:51 | 0 | |||
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Tennenbaum Center for the Biology of Creativity Resource Report Resource Website |
Tennenbaum Center for the Biology of Creativity (RRID:SCR_000668) | data or information resource, organization portal, portal | The purpose of this center is to study the molecular, cellular, systems and cognitive mechanisms that result in cognitive enhancements and explain unusual levels of performance in gifted individuals, including extraordinary creativity. Additionally, by understating the mechanisms responsible for enhancements in performance we may be better suited to intervene and reverse disease states that result in cognitive deficits. One of the key topics addressed by the Center is the biological basis of cognitive enhancements, a topic that can be studied in human subjects and animal models. In the past much of the focus in the brain sciences has been on the study of brain mechanisms that degrade cognitive performance (for example, on mutations or other lesions that cause cognitive deficits). The Tennenbaum Center for the Biology of Creativity at UCLA enables an interdisciplinary team of leading scientists to advance knowledge about the biological bases of creativity. Starting with a pilot project program, a series of investigations was launched, spanning disciplines from basic molecular biology to cognitive neuroscience. Because the concept of creativity is multifaceted, initial efforts targeted refinement of the component processes necessary to generate novel, useful cognitive products. The identified core cognitive processes: 1.) Novelty Generation the ability to flexibly and adaptively generate products that are unique; 2.) Working Memory and Declarative Memory the ability to maintain, and then use relevant information to guide goal-directed performance, along with the capacity to store and retrieve this information; and 3.) Response Inhibition the ability to suppress habitual plans and substitute alternate actions in line with changing problem-solving demands. To study the basic mechanisms underlying these complex brain functions we use translational strategies. Starting from foundational studies in basic neuroscience, we forged an interdisciplinary strategy that permits the most advanced techniques for genetic manipulation and basic neurobiological research to be applied in close collaboration with human studies that converge on the same core cognitive processes. Our integrated research program aims to reveal the genetic architecture and fundamental brain mechanisms underlying creative cognition. The work holds enormous promise for both enhancing healthy cognitive performance and designing new treatments for diverse cognitive disorders. Sponsors: The Tennenbaum Center for the Biology of Creativity was inspired by the vision and generosity of Michael Tennenbaum. | generation, genetic, animal, biological, brain, brain science, cellular, cognitive, cognitive deficit, cognitive disorder, cognitive neuroscience, creativity, declarative memory, disease, habitual, human, inhibition, mechanism, memory, model, molecular, molecular biology, neurobiological, performance, response, working memory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10497 | SCR_000668 | UCLA CBC | 2026-09-12 01:00:51 | 0 |
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