Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
COnsensus-DEgenerate Hybride Oligonucleotide Primers Resource Report Resource Website 1+ mentions |
COnsensus-DEgenerate Hybride Oligonucleotide Primers (RRID:SCR_002875) | analysis service resource, data analysis service, data analysis software, data processing software, production service resource, service resource, software application, software resource | This COnsensus-DEgenerate Hybrid Oligonucleotide Primer (CODEHOP) strategy has been implemented as a computer program that is accessible over the World-Wide Web and is directly linked from the BlockMaker multiple sequence alignment site for hybrid primer prediction beginning with a set of related protein sequences. This is a new primer design strategy for PCR amplification of unknown targets that are related to multiply-aligned protein sequences. Each primer consists of a short 3' degenerate core region and a longer 5' consensus clamp region. Only 3-4 highly conserved amino acid residues are necessary for design of the core, which is stabilized by the clamp during annealing to template molecules. During later rounds of amplification, the non-degenerate clamp permits stable annealing to product molecules. The researchers demonstrate the practical utility of this hybrid primer method by detection of diverse reverse transcriptase-like genes in a human genome, and by detection of C5 DNA methyltransferase homologs in various plant DNAs. In each case, amplified products were sufficiently pure to be cloned without gel fractionation. Sponsors: This work was supported in part by a grant from the M. J. Murdock Charitable Trust and by a grant from NIH. S. P. is a Howard Hughes Medical Institute Fellow of the Life Sciences Research Foundation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | fractionation, gel, 3', amplification, clone, dna, genome, homolog, human, hybrid, molecule, oligonucleotide, pcr, plant, primer, protein, sequence, transcriptase-methyltransferase |
is related to: OMICtools has parent organization: University of Washington; Seattle; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25557 | SCR_002875 | CODEHOP | 2026-09-05 06:29:55 | 8 | ||||||||
|
Candidate Genes to Inherited Diseases Resource Report Resource Website 1+ mentions |
Candidate Genes to Inherited Diseases (RRID:SCR_008190) | G2D | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of candidate genes for mapped inherited human diseases. Candidate priorities are automatically established by a data mining algorithm that extracts putative genes in the chromosomal region where the disease is mapped, and evaluates their possible relation to the disease based on the phenotype of the disorder. Data analysis uses a scoring system developed for the possible functional relations of human genes to genetically inherited diseases that have been mapped onto chromosomal regions without assignment of a particular gene. Methodology can be divided in two parts: the association of genes to phenotypic features, and the identification of candidate genes on a chromosonal region by homology. This is an analysis of relations between phenotypic features and chemical objects, and from chemical objects to protein function terms, based on the whole MEDLINE and RefSeq databases. | function, gene, genetic, chromosome, disease, disorder, genome, homology, human, phenotype, protein, region, candidate gene, database, data warehouse, data set, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Molecular Biology Laboratory has parent organization: EMBL - Bork Group |
PMID:16115313 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21162, biotools:g2d | http://www.bork.embl-heidelberg.de/g2d/, http://www.ogic.ca/projects/g2d_2/, https://bio.tools/g2d | SCR_008190 | G2D - Candidate Genes to Inherited Diseases, Genes2Diseases | 2026-09-05 06:30:02 | 2 | |||||
|
NEIBank Resource Report Resource Website 10+ mentions |
NEIBank (RRID:SCR_007294) | NEIBank | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | An integrated resource for genomics and bioinformatics in vision research including expressed sequence tag (EST) data and sequence-verified cDNA clones for multiple eye tissues of several species, web-based access to human eye-specific SAGE data through EyeSAGE, and comprehensive, annotated databases of known human eye disease genes and candidate disease gene loci. All expression- and disease-related data are integrated in EyeBrowse, an eye-centric genome browser. NEIBank provides a comprehensive overview of current knowledge of the transcriptional repertoires of eye tissues and their relation to pathology. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAST search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. To see the same region at the full UCSC site, cut and paste the location from the position window of the genome browser. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank. | ear, taste, genetics, cdna, chicken, ciliary body, cornea, fovea, dog, guinea pig, human, iris, lacrimal gland, lens, mouse, ocular surface system, optic nerve, rabbit, rat, retina, rpe, choroid, sequence data, trabecular meshwork, whole eye, zebrafish, library, vision, eye, gene, library, disease, loci, ocular genomics, cdna library, expressed sequence tag, blast, cataract, cornea, glaucoma, myopia, retinal disease, genomics, eye tracking device | has parent organization: National Eye Institute (NEI) Commons | Eye disease, Cataract, Glaucoma, Myopia, Retinal disease | NIH Blueprint for Neuroscience Research ; NEI R01 EY13315; NEI R01 EY11286; NEI P30EY0054722 |
PMID:18648525 | nif-0000-00097 | SCR_007294 | NEI Bank | 2026-09-05 06:30:01 | 15 | |||||
|
Human Islet Research Network (HIRN) Resource Report Resource Website 100+ mentions |
Human Islet Research Network (HIRN) (RRID:SCR_014393) | HIRN | data or information resource, disease-related portal, portal, topical portal | Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP). | islet, human, consortia, functional loss, beta cell, research network, funding resource |
is used by: Hypothesis Center is listed by: NIDDK Information Network (dkNET) is related to: Pancreatlas is related to: scPancMeta App is related to: PANC-DB has organization facet: HIRN Consortium on Beta Cell Death and Survival has organization facet: HIRN Consortium on Human Islet Biomimetics has organization facet: HIRN Consortium on Modeling Autoimmune Interactions has organization facet: HIRN Consortium on Targeting and Regeneration has organization facet: HIRN Human Pancreas Analysis Program has organization facet: HIRN Bioinformatics Center has organization facet: HIRN Coordinating Center has organization facet: HIRN Human Pancreas Analysis Consortium |
Type 1 diabetes, Diabetes | NIDDK | SCR_014393 | Human Islet Research Network | 2026-09-05 06:30:05 | 247 | |||||||
|
GeneNest Resource Report Resource Website 1+ mentions |
GeneNest (RRID:SCR_007677) | data or information resource, database | GeneNest is a comprehensive visualization of gene indices of several organisms. The aim of GeneNest is to represent each gene by a single cluster of ESTs and/or mRNAs. Further subdivision of a cluster into contigs may be caused by alternative splicing, genomic sequences, or artifacts like chimeric sequences. Consensus sequence derived from GeneNest contigs are a basis for mapping genes onto the genome, and for analysis of splice isoforms. Organisms included are human, mouse, arabidopsis, zebrafish, drosophila, and sheep. human, mouse, arabidopsis, zebrafish, drosophila, sheep, EST, mRNA, alternative splicing, genomic sequences | est, alternative splicing, arabidopsis, drosophila, genomic sequences, human, mouse, mrna, sheep, zebrafish | has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany | nif-0000-02883 | SCR_007677 | GeneNest | 2026-09-05 06:31:42 | 5 | |||||||||
|
Human Gene Expression Index Resource Report Resource Website 1+ mentions |
Human Gene Expression Index (RRID:SCR_007726) | data or information resource, database | The Human Gene Expression Index (HuGE Index) aims to provide a comprehensive database to further our understanding of the expression of human genes in normal human tissues. mRNA expression levels of thousands of genes are obtained using high-density oligonucleotide array technology and used to create a public database. The website also provides interactive tools for researchers to query and visualize data over the Internet. To facilitate data analysis, genes are alsocross-referenced with their annotation in the LocusLink database at NCBI. | human, human genome | nif-0000-02991 | http://www.hugeindex.org | SCR_007726 | HUGE Index | 2026-09-05 06:31:43 | 4 | |||||||||
|
Homophila Resource Report Resource Website |
Homophila (RRID:SCR_007717) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 23, 2013. Homophila utilizes the sequence information of human disease genes from the NCBI OMIM (Online Mendelian Inheritance in Man) database in order to determine if sequence homologs of these genes exist in the current Drosophila sequence database (FlyBase). Sequences are compared using NCBI's BLAST program. The database is updated weekly and can be searched by human disease, gene name, OMIM number, title, subtitle and/or allelic variant descriptions. | homolog, human disease, human disease gene, human, gene, cognate |
is related to: OMIM has parent organization: University of California at San Diego; California; USA |
NCRR P 41 RR08605-06 | PMID:11752278 PMID:11381037 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02976 | SCR_007717 | Human disease to drosophila database | 2026-09-05 06:31:43 | 0 | ||||||
|
Alternate splicing gallery Resource Report Resource Website 1+ mentions |
Alternate splicing gallery (RRID:SCR_008129) | data or information resource, database | Alternative splicing essentially increases the diversity of the transcriptome and has important implications for physiology, development and the genesis of diseases. This resource uses a different approach to investigate alternative splicing (instead of the conventional case-by case fashion) and integrates all transcripts derived from a gene into a single splicing graph. ASG is a database of splicing graphs for human genes, using transcript information from various major sources (Ensembl, RefSeq, STACK, TIGR and UniGene). Each transcript corresponds to a path in the graph, and alternative splicing is displayed by bifurcations. This representation preserves the relationships between different splicing variants and allows us to investigate systematically all possible putative transcripts. Web interface allows users to display the splicing graphs, to interactively assemble transcripts and to access their sequences as well as neighboring genomic regions. ASG also provide for each gene, an exhaustive pre-computed catalog of putative transcriptsin total more than 1.2 million sequences. It has found that ~65 of the investigated genes show evidence for alternative splicing, and in 5 of the cases, a single gene might produce over 100 transcripts. | gallery, gene, genesis, alternative, development, disease, diversity, genomic, human, physiology, putative transcript, sequence, single, splice, splicing graph, transcript, transcriptome, variant, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-20932, biotools:alternative_splicing_gallery | https://bio.tools/alternative_splicing_gallery | SCR_008129 | ASG | 2026-09-05 06:31:50 | 1 | ||||||||
|
CRE Binding-protein Target Gene Database Resource Report Resource Website 10+ mentions |
CRE Binding-protein Target Gene Database (RRID:SCR_008027) | data or information resource, database | CREB target gene database that uses a multi-layered approach to predict, validate and characterize CREB target genes. For each gene, the database tries to provide the following information: 1. CREB binding sites on the promoters 2. Promoter occupancy by CREB 3. Gene activation by cAMP in tissues CREB seems to occupy a large number of promoters in the genome (up to ~5000 in human), and the profiles for CREB promoter occupancy are very similar in different human tissues. However, only a small proportion of CREB occupied genes are induced by cAMP in any cell type, possibly reflecting the requirement of additional regulatory partners that assist in recruitment of the transcriptional apparatus. To use the database, choose the species, select the table you want to search, leave field (''All'') and type in the gene you want to search. A table listing the search results will be returned, followed by the description of the table. If no search result is returned, try the official gene symbol or gene ID (locuslink number) from NCBI Entrez Gene to search. Sponsors: This work was supported by National Institutes of Health Grants GM RO1-037828 (to M.M.) and DK068655 (to R.A.Y.). | expression, gene, activation, camp, camp-response element binding protein (creb), cell, cellular, coactivator, cyclic amp response element binding protein, hormone, human, in vivo, methylation, mouse, nutrient, phosphorylation, promoter, rat, regulatory, rna, signaling, target gene, tissue, transcription, FASEB list | nif-0000-10201 | SCR_008027 | CREB Database | 2026-09-05 06:31:49 | 31 | ||||||||||
|
National Institute on Aging, Database of Longitudinal Studies Resource Report Resource Website |
National Institute on Aging, Database of Longitudinal Studies (RRID:SCR_008259) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 11, 2015. A searchable database for epidemiologic research on aging changes across the lifespan. In 2003, the National Institute on Aging (NIA) established the Longitudinal Data on Aging (LDA) working group to assist with the development of research initiatives for identifying the physiologic and other types of factors across the lifespan, affecting onset and progression of disease with advancing age, as well as elucidation of protective factors contributing to exceptionally healthy aging. This database was developed based on input from the LDA working group which indicated that establishing a database of existing sources of longitudinal data on aging (e.g., ongoing longitudinal cohorts, longitudinal data sets, biospecimen repositories) would be a valuable resource for facilitating future research on aging changes across the lifespan. The longitudinal studies, data sets and repositories included in this database encompass a wide range of age groups (childhood to old age), studies in minority populations, as well as sources of longitudinal data existing in the United States and abroad. Our primary purpose for establishing this database is to provide a resource for potential applicants for grants to the NIA. No part of this database can be used for commercial purposes. | epidemiologic, healthy aging, human, lifespan, longitudinal, onset, progression of disease, protective factors | Aging | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-22594 | SCR_008259 | Database of Longitudinal Studies | 2026-09-05 06:31:52 | 0 | ||||||||
|
Cytokine Family Database Resource Report Resource Website 1+ mentions |
Cytokine Family Database (RRID:SCR_008134) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. A collection of cDNA, gene and protein records of cytokines deposited in public databases provides various information about the cytokine members of vertebrates in other databases including NCBI GenBank, Swiss-Prot, UniGene, TIGR (The Institute for Genomic Research) Gene Indices, Ensembl, Entrez Gene, Mouse Genome Informatics (MGI) and Rat Genome Database (RGD). It also provides orthologous relationship of cytokine members and includes novel members identified in the databases. | family, fish, gene, amphibian, bird, cdna, chemokine, cow, cytokine, genome, human, mammalian, mouse, oncogene, phylogenetic, protein, rat, receptor, reptile, virus |
is listed by: 3DVC has parent organization: Kumamoto University; Kumamoto; Japan |
Japan Society for the Promotion of Science | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20948 | http://cytokine.medic.kumamoto-u.ac.jp/ | SCR_008134 | dbCFC | 2026-09-05 06:31:50 | 1 | ||||||
|
Animal Genome Database Resource Report Resource Website 1+ mentions |
Animal Genome Database (RRID:SCR_008165) | data or information resource, database | Database of comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. AGP is an animal genome database developed on a Unix workstation and maintained by a relational database management system. It is a joint project of National Institute of Agrobiological Sciences (NIAS) and Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF-Institute), under cooperation with other related research institutes. AGP also contains the Pig Expression Data Explorer (PEDE), a database of porcine EST collections derived from full-length cDNA libraries and full-length sequences of the cDNA clones picked from the EST collection. The EST sequences have been clustered and assembled, and their similarity to sequences in RefSeq, and UniGene determined. The PEDE database system was constructed to store sequences and similarity data of swine full-length cDNA libraries and to make them available to users. It provides interfaces for keyword and ID searches of BLAST results and enables users to obtain sequence data and names of clones of interest. Putative SNPs in EST assemblies have been classified according to breed specificity and their effect on coding amino acids, and the assemblies are equipped with an SNP search interface. The database contains porcine nucleotide sequences and cDNA clones that are ready for analyses such as expression in mammalian cells, because of their high likelihood of containing full-length CDS. PEDE will be useful for researchers who want to explore genes that may be responsible for traits such as disease susceptibility. The database also offers information regarding major and minor porcine-specific antigens, which might be investigated in regard to the use of pigs as models in various medical research applications. | est, expression, gene, amino acid, animal, antigen, breed, cattle, cdna, cell, chain, clone, coding, cytogenetic, genome, human, linkage, livestock, mammalian, map, mouse, nucleotide, organism, phenotypic, pig, polymerase, porcine, primer, reaction, sequence, snp, specie, swine, trait | has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan | nif-0000-21029 | SCR_008165 | AGP | 2026-09-05 06:31:50 | 1 | |||||||||
|
Comparative Vertebrate Sequencing Resource Report Resource Website |
Comparative Vertebrate Sequencing (RRID:SCR_008213) | data or information resource, database | Generates data for use in developing and refining computational tools for comparing genomic sequence from multiple species. The NISC Comparative Sequencing Program's goal is to establish a data resource consisting of sequences for the same set of targeted genomic regions derived from multiple animal species. The broader program includes plans for a diverse set of analytical studies using the generated sequence and the publication of a series of papers describing the results of those analysis in peer-reviewed journals in a timely fashion. Experimentally, this project involves the shotgun sequencing of mapped BAC clones. For each BAC, an assembly is first performed when a sufficient number of sequence reads have been generated to provide full shotgun coverage of the clone. At that time, the assembled sequence is submitted to the HTGS division of GenBank. Subsequent refinements of the sequence, including the generation of higher-accuracy finished sequence, results in the updating of the sequence record in GenBank. By immediately submitting our BAC-derived sequences to GenBank, it makes their data available as a public service to allow colleagues to speed up their research, consistent with the now well-established routine of sequencing centers participating in the Human Genome Project. However, at the same time, it has made considerable investment in acquiring these mapping and sequence data, including sizable efforts of graduate students, postdoctoral fellows, and other trainees. Furthermore, in most cases, large data sets involving multiple BAC sequences from multiple species must first be generated, often taking many months to accumulate, before the planned analysis can be performed and the resulting papers written and submitted for publication. | accuracy, animal, bac, clone, comparative, computational, genome, genomic, human, map, mapping, model organisms and comparative genomics databases, sequence, specie, tool | has parent organization: National Institutes of Health | nif-0000-21291 | SCR_008213 | Comparative Vertebrate Sequencing | 2026-09-05 06:31:51 | 0 | |||||||||
|
Structure modeling of 907 G protein coupled receptors in the human genome Resource Report Resource Website 1+ mentions |
Structure modeling of 907 G protein coupled receptors in the human genome (RRID:SCR_008351) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2019.Database of tertiary structural modeling results of threading assembly refinement (TASSER) method for all 907 G protein-coupled receptors (GPCRs) in human genome. All sequences were collected from GPCR database http://www.gpcr.org/7tm/ and http://www.expasy.org/cgi-bin/lists?7tmrlist.txt. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. G protein-coupled receptors (GPCRs), encoded by about 5% of human genes, comprise the largest family of integral membrane proteins and act as cell surface receptors responsible for the transduction of endogenous signal into a cellular response. Although tertiary structural information is crucial for function annotation and drug design, there are few experimentally determined GPCR structures. To address this issue, we employ the recently developed threading assembly refinement (TASSER) method to generate structure predictions for all 907 putative GPCRs in the human genome. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. These features are essential for the comprehensive modeling of all human GPCRs when close homologous templates are absent. Based on a benchmarked confidence score, approximately 820 predicted models should have the correct folds. The majority of GPCR models share the characteristic seven-transmembrane helix topology, but 45 ORFs are predicted to have different structures. This is due to GPCR fragments that are predominantly from extracellular or intracellular domains as well as database annotation errors. Our preliminary validation includes the automated modeling of bovine rhodopsin, the only solved GPCR in the Protein Data Bank. With homologous templates excluded, the final model built by TASSER has a global C(alpha) root-mean-squared deviation from native of 4.6 angstroms, with a root-mean-squared deviation in the transmembrane helix region of 2.1 angstroms. Models of several representative GPCRs are compared with mutagenesis and affinity labeling data, and consistent agreement is demonstrated. Structure clustering of the predicted models shows that GPCRs with similar structures tend to belong to a similar functional class even when their sequences are diverse. These results demonstrate the usefulness and robustness of the in silico models for GPCR functional analysis. Sponsors: GPCR is funded by the University at Buffalo, Buffalo, New York. | endogenous, extracellular, family, functional, gene, cellular, couple, genome, gpcr, g protein, helix, homology, human, membrane, model, modeling, orf, protein, receptor, response, signal, structural, structural model, structure, template, tertiary, topology, transduction, transmembrane | has parent organization: Georgia Institute of Technology; Georgia; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25215 | SCR_008351 | GPCR | 2026-09-05 06:31:52 | 3 | ||||||||
|
NIMH Director's Blog Resource Report Resource Website |
NIMH Director's Blog (RRID:SCR_008841) | blog, data or information resource, narrative resource | Blog by the NIMH Director, Thomas R. Insel, M.D. Users may sort posts by topic and/or subsribe to the RSS Feed, http://www.nimh.nih.gov/site-info/feed-directors-blog.atom | attention deficit-hyperactivity disorder, autism, bipolar disorder, borderline personality disorder, depression, depressive disorder, eating disorder, obsessive-compulsive disorder, post-traumatic stress disorder, schizophrenia, woman, mental health, child, adolescent, research, military, trauma, diversity, ethnicity, genetics, aids, hiv, imaging, medication, suicide, treatment, human, anxiety disorder, prevention | has parent organization: National Institute of Mental Health | NIMH | nlx_146220 | SCR_008841 | National Institute of Mental Health Directors Blog, National Institute of Mental Health Director's Blog, NIMH Directors Blog | 2026-09-05 06:31:55 | 0 | ||||||||
|
Pennsylvania University Perelman School of Medicine Stem Cell and Xenograft Core Facility Resource Report Resource Website 10+ mentions |
Pennsylvania University Perelman School of Medicine Stem Cell and Xenograft Core Facility (RRID:SCR_010035) | Pennsylvania University Perelman School of Medicine SCXC | access service resource, biomaterial supply resource, core facility, material resource, organism supplier, service resource, tissue bank, training service resource | Offers in vivo services specializing in immunodeficient and xenograft models (PDX, humanized immune system). Facility has dedicated BSL2 barrier space equipped with optical imaging, for applications ranging from immunotherapy, cancer biology, infectious diseases and regenerative medicine. Offers services centered around repository of live and fully annotated cells from adult patients with hematologic malignancies (AML, ALL, MPN, MDS), and hematopoietic stem/progenitor cells from healthy donors (BM, CB, and FL). | xenograft, ABRF, USEDit, healthy donor, umbilical, cord, tissue, bank, human, hematopoietic, malignancy, service, whole, bone, marrow, blood, sorter, leukemia, imaging |
is listed by: Eagle I is listed by: ABRF CoreMarketplace is related to: USEDit has parent organization: University of Pennsylvania; Philadelphia; USA |
nlx_156506, ARBF_1384 | https://coremarketplace.org?citation=1&FacilityID=1384 | http://eagle-i.itmat.upenn.edu/i/0000013b-afd0-cc4c-83a0-df0880000000 | SCR_010035 | Penn Stem Cell and Xenograft Core (SCXC), Penn Stem Cell and Xenograft Core, Penn Stem Cell & Xenograft Core | 2026-09-05 06:31:56 | 42 | ||||||
|
Metscape Resource Report Resource Website 100+ mentions |
Metscape (RRID:SCR_014687) | resource, software resource, source code | A software program that allows users to visualize and interpret human metabolim and expression profiling data by providing users with a bioinformatics framework. Its features include bulding and analyzing networks of genes and compounds, identifying enriched pathways from expression profiling data, and visualizing changes in metabolite data. | metabolomics, metabolomics tool, visualization, expression profiling, gene, compound, metabolism, human |
is listed by: Metabolomics Workbench is listed by: SoftCite |
NIDDK U24 DK097153; NIDDK P30DK089503 |
PMID:22135418 | Freely available | SCR_014687 | 2026-09-05 06:30:35 | 154 | ||||||||
|
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 | 2026-09-05 06:30:35 | 0 | |||||||||
|
Center for Research in Biological Systems Resource Report Resource Website |
Center for Research in Biological Systems (RRID:SCR_002666) | data or information resource, organization portal, portal | CRBS is a UCSD organized research unit (ORU) that exists to provide human resources, high technology equipment, and administrative services to researchers engaged in fundamental research on cell structure and function relationships in central nervous system processes, cardiovascular networking, and muscular contraction through multiple scales and modalities. CRBS scientists investigate these processes through invention, refinement, and deployment of sophisticated technologies, especially: - High-powered electron microscopes that reveal three-dimensional cell structures - State-of-the-art X-ray crystallography and magnetic resonance analysis that provide detail on protein structures at high-resolution - Laser-scanning and confocal light microscopes that reveal molecules tagged with fluorescent markers as they traffic within cells and pass transfer signals within and between cells - High performance computing and grid-based integration of distributed data CRBS facilitates an interdisciplinary infrastructure in which people from biology, medicine, chemistry, and physics can work with those from computer science and information technologies in collaborative research. Researchers share interests in the study of complex biological systems at many scales, from the structures of enzymes, proteins, and the body's chemical communications network at atomic and molecular levels, to an organism's physiology, strength, and support at cellular and tissue levels. The CRBS infrastructure integrates resources for high-performance computing, visualization, and database technologies, and the grid-integration of large amounts of archival storage data. The California Institute for Telecommunications and Information Technology (Cal-IT2) and the San Diego Supercomputer Center (SDSC) are collaborators in simulating the activity of biological systems, analyzing the results, and organizing the growing storehouse of biological information. CRBS is an entity evolving as research evolves. It forges interactions with biotechnology and biocomputing companies for technology transfer. Interaction, collaboration, and multiscale research produce new perspectives, reveal fruitful research topics, lead to the development of new technologies and drugs, and train a new generation of researchers in biological systems. Sponsors: CRBS is supported by the University of California at San Diego. | drug, electron microscope, enzyme, fluorescent, administrative, atomic, biocomputing, biological system, biology, biotechnology, cardiovascular, cell, central nervous system, chemistry, computer science, computing, confocal light microscope, contraction, database, grid-based integration, high technology equipment, human, laser-scanning microscope, magnetic resonance analysis, marker, medicine, molecule, muscular, networking, organism, physics, physiology, process, protein, research, resolution, signal transfer, structure, technology, three-dimensional, tissue, traffic, visualization, x-ray crystallography |
is listed by: DataCite has parent organization: University of California at San Diego; California; USA has parent organization: University of California; California; USA |
Restricted | nif-0000-23293 | https://api.datacite.org/dois?prefix=10.7295 | SCR_002666 | CRBS | 2026-09-05 06:30:38 | 0 | |||||||
|
NIH Human Pluripotent Stem Cell Registry Resource Report Resource Website 1+ mentions |
NIH Human Pluripotent Stem Cell Registry (RRID:SCR_003149) | NIH Human Embryonic Stem Cell Registry | biomaterial supply resource, cell repository, material resource | A listing of human embryonic cell lines that are eligible for use in NIH funded research. Those lines that carry disease-specific mutations are noted as such under the line name. Total Eligible Lines = 200. The purpose of the Registry is to provide investigators with: # a unique NIH Code for each cell line that must be used when applying for NIH funding and # contact information to facilitate investigators' acquisition of stem cells. Before submitting a new grant application and supporting materials for consideration of a human embryonic stem cell line, scientists may wish to see what lines are already under consideration: * Human embryonic stem cell lines submitted to NIH that are being reviewed to determine if they may be used in NIH-supported research, http://grants.nih.gov/stem_cells/registry/pending.htm President George W. Bush required that the name of the registry be changed in his Executive Order #13435, issued on June 20, 2007. As a result of this Executive Order, the former National Institutes of Health Human Embryonic Stem Cell Registry will now be called the National Institutes of Health Human Pluripotent Stem Cell Registry. The registry will now include both human embryonic stem cells that were derived consistent with the President's policy of August 9, 2001 and human pluripotent stem cells derived from non-embryonic sources. | embryonic, cell, human, registry, stem cell, embryonic stem cell, cell line, human embryonic stem cell line, human pluripotent stem cell, adult, fetal, mutation |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: Wisconsin International Stem Cell Bank is related to: National Stem Cell Bank is related to: NIF Data Federation is related to: Integrated Cell Lines has parent organization: National Institutes of Health |
NIH ; NIH Blueprint for Neuroscience Research |
Free, Freely available | nif-0000-00565 | SCR_003149 | NIH Human Embryonic Stem Cell Registry, National Institutes of Health Human Pluripotent Stem Cell Registry | 2026-09-05 06:30:38 | 7 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.