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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Arabidopsis thaliana Protein Interactome Database Resource Report Resource Website 1+ mentions |
Arabidopsis thaliana Protein Interactome Database (RRID:SCR_001896) | AtPID | data or information resource, data repository, database, service resource, storage service resource | Centralized platform to depict and integrate the information pertaining to protein-protein interaction networks, domain architecture, ortholog information and GO annotation in the Arabidopsis thaliana proteome. The Protein-protein interaction pairs are predicted by integrating several methods with the Naive Baysian Classifier. All other related information curated is manually extracted from published literature and other resources from some expert biologists. You are welcomed to upload your PPI or subcellular localization information or report data errors. Arabidopsis proteins is annotated with information (e.g. functional annotation, subcellular localization, tissue-specific expression, phosphorylation information, SNP phenotype and mutant phenotype, etc.) and interaction qualifications (e.g. transcriptional regulation, complex assembly, functional collaboration, etc.) via further literature text mining and integration of other resources. Meanwhile, the related information is vividly displayed to users through a comprehensive and newly developed display and analytical tools. The system allows the construction of tissue-specific interaction networks with display of canonical pathways. | gene, gene expression, domain, annotation, ineractome, metabolic pathway, phylogenetic, protein, protein-protein interaction, signaling pathway, proteome, protein subcellular location, ortholog, gene regulation, pathway, phenotype |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Northeast Forest University; Harbin; China |
National Basic Research Program of China 2010CB945400; National Basic Research Program of China 2007CB108800; National High Technology Research and Development Program of China 2006AA02Z313; National High Technology Research and Development Program of China 2006AA10Z129; National Natural Science Foundation of China 30870575; National Natural Science Foundation of China 30730078; Science and Technology Commission of Shanghai Municipality 06DZ22923 |
PMID:21036873 PMID:17962307 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01898, nif-0000-02585 | http://atpid.biosino.org/ | SCR_001896 | AtPID Database | 2026-09-05 06:24:41 | 8 | ||||
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SNAP - SNP Annotation and Proxy Search Resource Report Resource Website 100+ mentions |
SNAP - SNP Annotation and Proxy Search (RRID:SCR_002127) | SNAP | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | A computer program and web-based service for the rapid retrieval of linkage disequilibrium proxy single nucleotide polymorphism (SNP) results given input of one or more query SNPs and based on empirical observations from the International HapMap Project and the 1000 Genomes Project. A series of filters allow users to optionally retrieve results that are limited to specific combinations of genotyping platforms, above specified pairwise r2 thresholds, or up to a maximum distance between query and proxy SNPs. SNAP can also generate linkage disequilibrium plots | gene, genetic, genomic, r, oracle, single nucleotide polymorphism, linkage disequilibrium, genotypeing array, physical distance, membership, proxy, plot |
is listed by: OMICtools is listed by: Genetic Analysis Software is related to: International HapMap Project is related to: 1000 Genomes: A Deep Catalog of Human Genetic Variation has parent organization: Broad Institute |
NHLBI N01-HC-65226 | PMID:18974171 | Free, Freely Available | OMICS_01927, nlx_154638 | http://www.broad.mit.edu/mpg/snap/ | SCR_002127 | SNAP (SNP Annotation and Proxy Search), SNAP 2, SNP Annotation and Proxy Search | 2026-09-05 06:24:44 | 146 | ||||
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Candida Genome Database Resource Report Resource Website 500+ mentions |
Candida Genome Database (RRID:SCR_002036) | CGD, CGD LOCUS, CGD REF | data or information resource, data repository, database, service resource, storage service resource | Database of genetic and molecular biological information about Candida albicans. Contains information about genes and proteins, descriptions and classifications of their biological roles, molecular functions, and subcellular localizations, gene, protein, and chromosome sequence information, tools for analysis and comparison of sequences and links to literature information. Each CGD gene or open reading frame has an individual Locus Page. Genetic loci that are not tied to DNA sequence also have Locus Pages. Provides Gene Ontology, GO, to all its users. Three ontologies that comprise GO (Molecular Function, Cellular Component, and Biological Process) are used by multiple databases to annotate gene products, so that this common vocabulary can be used to compare gene products across species. Development of ontologies is ongoing in order to incorporate new information. Data submissions are welcome. | protein, chromosome, classification, gene, genome, candidiasis, thrush, yeast, yeast gene, yeast genome, candida albicans, candida glabrata, data analysis service, biological role, molecular function, subcellular localization, chromosome sequence, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: ASPGD is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
NIDCR DE015873 | PMID:19808938 | Free, Available for download, Freely available | biotools:cgd, nif-0000-02634, r3d100010617 | https://bio.tools/cgd | SCR_002036 | 2026-09-05 06:24:43 | 506 | |||||
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Cell Signaling and Neuroscience: Pathway Slides and Charts Resource Report Resource Website |
Cell Signaling and Neuroscience: Pathway Slides and Charts (RRID:SCR_002069) | Sigma Pathway Slides and Charts | data or information resource, data set, image collection, slide, training resource | Free, downloadable Cell Signaling and Neuroscience Pathway Slides with an overview of the pathway and its links to Your Favorite Gene. There you can explore dynamic pathways and locate products in the context of your research. Each overview contains helpful links to the biological pathways, interaction networks, gene details and related products. Slide Categories: *Apoptosis and Cell Cycle *Cytokines, Growth Factors and Hormones *Cytoskeleton and Extracellular Matrix *Gene Regulation and Expression *G Proteins and Cyclic Nucleotides *Immune Cell Signaling and Blood *Ion Channels *Lipids in Cell Signaling *Multi-Drug Resistance *Neurobiology *Neurotransmission *Nitric Oxide and Cell Stress *Protein Phosphorylation | cell signaling, neuroscience, pathway, biological pathway, metabolic pathway, cell signaling pathway, gene | has parent organization: Sigma-Aldrich | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20824 | http://www.sigmaaldrich.com/life-science/cell-biology/learning-center/pathway-slides-and.html | SCR_002069 | Cell Signaling and Neuroscience Pathway Slides and Charts, Cell Signaling & Neuroscience Pathway Slides & Charts, Pathway Slides and Charts, Sigma Pathway Slides & Charts | 2026-09-05 06:24:43 | 0 | ||||||
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autoSNPdb Resource Report Resource Website |
autoSNPdb (RRID:SCR_001927) | autoSNPdb | data or information resource, data repository, database, service resource, storage service resource | We have developed an integrated SNP discovery pipeline, which identifies SNPs from assembled EST sequences. The results are maintained in a custom relational database along with EST source and annotation information. The current database hosts data for the important crops rice, barley and Brassica. Users may rapidly identify polymorphic sequences of interest through BLAST sequence comparison, keyword searches of annotations derived from UniRef90 and GenBank comparisons, GO annotations or in genes corresponding to syntenic regions of reference genomes. In addition, SNPs between specific varieties may be identified for targeted mapping and association studies. SNPs are viewed using a user-friendly graphical interface. The implementation of autoSNPdb allows researchers to query the results of SNP analysis to characterize SNPs between specific groups of individuals or within genes with predicted function. The system is flexible and researchers may add additional levels of annotation, and perform novel queries specific to their area of interest. If you have sequence data you'd like to include please contact Dave Edwards. | gene, gene function, single nucleotide polymorphism | has parent organization: University of Queensland; Brisbane; Australia | Australian Research Council | PMID:18854357 PMID:19386041 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02589 | https://omictools.com/autosnpdb-tool | http://acpfg.imb.uq.edu.au/autosnpdb.php | SCR_001927 | 2026-09-05 06:24:42 | 0 | ||||
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MetaDrug Resource Report Resource Website 1+ mentions |
MetaDrug (RRID:SCR_000461) | MetaDrug | commercial organization | A leading systems pharmacology solution that incorporates extensive manually curated information on biological effects of small molecule compounds. Predictive and analytical algorithms look at chemical compounds from different angles in one integrated workflow are available for: * Individual previously described compounds to look up their known information and predict currently unknown properties * Individual newly synthesized or isolated compounds to predict their properties from its structures * Compound libraries to extract known and predict new properties of individual compounds and perform their comparison and prioritization | pharmacology, compound, pathway, target, metabolite, prediction, toxicity, indication, metabolism, gene, protein, analysis, drug effect | is listed by: OMICtools | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01584 | SCR_000461 | 2026-09-05 06:24:20 | 1 | ||||||||
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wANNOVAR Resource Report Resource Website 10+ mentions |
wANNOVAR (RRID:SCR_000565) | wANNOVAR | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Web interface to the ANNOVAR software, a tool to annotate functional consequences of genetic variation from high-throughput sequencing data, to help biologists without bioinformatics skills to easily submit a list of mutations (even whole-genome variants calls) to the web server, select the desired annotation categories, and receive functional annotation back by emails. Given a list of single nucleotide variants (SNVs) and insertions / deletions in VCF or ANNOVAR input format, wANNOVAR annotates their functional effects on genes (such as amino acid changes for non-synonymous SNPs), calculate their predicted functional importance scores (such as SIFT and PolyPhen scores), retrieve allele frequencies in public databases (such as the 1000 Genomes Project and NHLBI-ESP 6500 exomes), and implement a variants reduction protocol to identify a subset of potentially deleterious variants., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | annotate, function, genetic variant, high-throughput sequencing, single nucleotide variant, gene, variant, allele frequency, mutation, annotation, genome, insertion, deletion |
is listed by: OMICtools is related to: ANNOVAR has parent organization: University of Southern California; Los Angeles; USA |
PMID:22717648 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00194 | SCR_000565 | 2026-09-05 06:24:21 | 22 | |||||||
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OnEx - Ontology Evolution Explorer Resource Report Resource Website 1+ mentions |
OnEx - Ontology Evolution Explorer (RRID:SCR_000602) | OnEx | software resource, web application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Web-based application that integrates versions of 16 life science ontologies including the Gene Ontology, NCI Thesaurus and selected OBO ontologies with data leading back to 2002 in a common repository to explore ontology changes. It allows to study and apply the evolution of these integrated ontologies on three different levels. It provides global ontology evolution statistics and ontology-specific evolution trends for concepts and relationships and it allows the migration of annotations in case a new ontology version was released | ontology, gene, protein, function, process, component, ontology or annotation browser, evolution, trend, annotation, version |
is listed by: OMICtools is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: NCI Thesaurus is related to: OBO has parent organization: University of Leipzig; Saxony; Germany |
BMBF 01AK803E; DFG |
PMID:19678926 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02273, nlx_149129 | http://www.izbi.de/onex, http://aprilia.izbi.uni-leipzig.de:8080/onex/ | SCR_000602 | Ontology Evolution Explorer (OnEx), Ontology Evolution Explorer | 2026-09-05 06:24:22 | 1 | ||||
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Biometric Research Branch: ArrayTools Resource Report Resource Website 1+ mentions |
Biometric Research Branch: ArrayTools (RRID:SCR_000778) | data analysis software, data processing software, data visualization software, software application, software resource, software toolkit | A software package for the visualization and statistical analysis of DNA microarray gene expression data. The tools have been developed from the R statistical system, in C and fortran programs and Java applications. They are integrated into Excel as an add-in. | visualization, statistic, analysis, dna, microarray, gene, expression, c, java, excel |
is listed by: OMICtools has parent organization: National Cancer Institute has parent organization: National Cancer Institute |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30199 | SCR_000778 | BRB ArrayTools | 2026-09-05 06:24:25 | 6 | ||||||||
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Computational Cancer Genomics Group Resource Report Resource Website 1+ mentions |
Computational Cancer Genomics Group (RRID:SCR_000772) | data analysis software, data or information resource, data processing software, database, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Computational Cancer Genomics (CCG) group is dedicated to the development of analysis tools and databases relating molecular sequences and biological functions. Sponsors: This group is supported by the Swiss Institute of Bioinformatics (SIB). | eukaryotic, expression, function, gene, analyzer, annotation, biological, clustering, computational, data, genome, in vitro, mapping, messengerrna, molecular, mpss, mrna, one-dimensional, organism, promoter, sage, sequence, snp, software, tag, technology, tool, transcription, transcriptome | has parent organization: SIB Swiss Institute of Bioinformatics | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25561 | SCR_000772 | CCG | 2026-09-05 06:24:25 | 3 | ||||||||
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Cystic Fibrosis Mutation Database Resource Report Resource Website 10+ mentions |
Cystic Fibrosis Mutation Database (RRID:SCR_000685) | CFTR1, CFMDB | data or information resource, data repository, database, service resource, storage service resource | Collection of mutations in CFTR gene for international cystic fibrosis genetics research community. Provides up to date information about individual mutations in CFTR gene. All known CFTR mutations and sequence variants have been converted to standard nomenclature recommended by Human Genome Variation Society. On line process for submission of new mutations has been added.While they continue to ensure quality of data, they urge international community to give them feedback and suggestions. Clinical information in this database relates only to details of discovery of specific mutations. As part of 2010 upgrade, CFTR1 joined new project called CFTR2 - Clinical and Functional TRanslation of CFTR. Links to CFTR2 for many mutations in CFTR1 will provide up-to-date summaries of genotype-phenotype information from patient registries around the world. | Gene, genetic, amino acid, clinical, cystic fibrosis, mutation, phenotype, genotype-phenotype, genotype, dna sequence, mouse, sequence, genetic variation, polymorphism, translation, function, sequence variation, metadata standard, cftr2, FASEB list | is related to: CFTR2 | Cystic fibrosis | Free, Freely available | nif-0000-21105, r3d100012093 | https://doi.org/10.17616/R38356 | SCR_000685 | 2026-09-05 06:24:24 | 42 | ||||||
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MEGA Resource Report Resource Website 1000+ mentions |
MEGA (RRID:SCR_000667) | MEGA, MEGA6, MEGA4, MEGA 4, MEGA 11 | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Software integrated tool for conducting automatic and manual sequence alignment, inferring phylogenetic trees, mining web based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses. Used for comparative analysis of DNA and protein sequences to infer molecular evolutionary patterns of genes, genomes, and species over time. MEGA version 4 expands on existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses. MEGA version 6 enables inference of timetrees, as it implements RelTime method for estimating divergence times for all branching points in phylogeny. | comparative, analysis, DNA, protein, sequence, molecular, evolution, pattern, gene, genome, evolution, FASEB list | has parent organization: Pennsylvania State University | Burroughs-Wellcome Fund ; Japan Society for the Promotion of Science ; NHGRI HG002096; NHGRI HG006039; NIGMS R01GM126567; NIGMS R35GM139504; NSF ABI 1661218 |
DOI:10.1093/molbev/msab120 PMID:24132122 PMID:31904846 PMID:22923298 PMID:21546353 PMID:17488738 PMID:15260895 PMID:11751241 PMID:8019868 |
Free, Available for download, Freely available | SCR_023017, nlx_156838 | https://www.megasoftware.net/mega4/ | SCR_000667 | MEGA11, Molecular Evolutionary Genetics Analysis, Molecular Evolutionary Genetics Analysis 6, Molecular Evolutionary Genetics Analysis 4 | 2026-09-05 06:24:23 | 2774 | ||||
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Understanding Human Disease Through Mouse Genetics Resource Report Resource Website 10+ mentions |
Understanding Human Disease Through Mouse Genetics (RRID:SCR_000785) | EUMORPHIA | data or information resource, group, portal, training resource | A portal documenting a project for the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. EUMORPHIA has developed a new robust primary screening platform for determining the phenotype of mice: EMPReSS - European Mouse Phenotyping Resource for Standardised Screens. The project is also focused on training new young scientists by funding them to work in a variety of laboratories to gain a broader swathe of techniques. The project has also identified the need for more trained mouse pathologists. To address this, they are setting up training courses in pathology and working at a European level to establish more training. | european, european union, mouse, gene, phenotype, model, physiology, molecular, informatics, mutagenesis |
is related to: European Mouse Phenotyping Resource of Standardised Screens is related to: Europhenome Mouse Phenotyping Resource has parent organization: University of Strasbourg; Strasbourg; France |
European Union under FP5 from October 2002 until March 2006 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30502 | http://www.eumorphia.org | SCR_000785 | European Union Mouse Research for Public Health and Industrial Applications | 2026-09-05 06:24:25 | 12 | |||||
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EMBL - Bork Group Resource Report Resource Website |
EMBL - Bork Group (RRID:SCR_000810) | EMBL - Bork Group | data or information resource, laboratory portal, organization portal, portal, service resource | The main focus of this Computational Biology group is to predict function and to gain insights into evolution by comparative analysis of complex molecular data. The group currently works on three different scales: * genes and proteins, * protein networks and cellular processes, and * phenotypes and environments. They require both tool development and applications. Some selected projects include comparative gene, genome and metagenome analysis, mapping interactions to proteins and pathways as well as the study of temporal and spatial protein network aspects. All are geared towards the bridging of genotype and phenotype through a better understanding of molecular and cellular processes. The services - resources & tools, developed by Bork Group, are mainly designed and maintained for research & academic purposes. Most of services are published and documented in one or more papers. All our tools can be completely customized and integrated into your existing framework. This service is provided by the company biobyte solutions GmbH. Please visit their tools and services pages for full details and more information. Standard commercial licenses for our tools are also available through biobyte solutions GmbH. The group is partially associated with Max Delbr��ck Center for Molecular Medicine (MDC), Berlin. | computational biology, gene, protein, protein network, cellular process, phenotype, environment, gene, genome, metagenome, analysis, interaction, pathway, temporal, spatial, network, genotype, phenotype, molecular process |
has parent organization: European Molecular Biology Laboratory is parent organization of: SMART is parent organization of: SmashCommunity is parent organization of: Candidate Genes to Inherited Diseases |
European Molecular Biology Laboratory ; Max-Delbruck Center for Molecular Medicine ; European Union ; BMBF ; IBM |
nlx_149173 | SCR_000810 | Bork Group - Comparative Systems Analysis (EMBL) | 2026-09-05 06:24:27 | 0 | |||||||
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MONARCH Initiative Resource Report Resource Website 10+ mentions |
MONARCH Initiative (RRID:SCR_000824) | Monarch | data or information resource, database | Repository of information about model organisms, in vitro models, genes, pathways, gene expression, protein and genetic interactions, orthology, disease, phenotypes, publications, and authors, and ability to navigate multi-scale spatial and temporal phenotypes across in vivo and in vitro model systems in context of genetic and genomic data, using semantics and statistics. Discovery system provides basic and clinical science researchers, informaticists, and medical professionals with integrated interface and set of discovery tools to reveal genetic basis of disease, facilitate hypothesis generation, and identify novel candidate drug targets. Database that indexes authoritative information on experimental models of disease from MGI, RGD and ZFIN. | disease, animal model, phenotype, model organism, in vitro model, gene, pathway, gene expression, protein interaction, genetic interaction, orthology, disease, publication, author, genetic, genomic, model system, genotype, drug, in vivo model |
uses: Animal QTLdb uses: Ensembl Variation uses: Human Phenotype Ontology is used by: NIF Data Federation is related to: Mouse Genome Informatics (MGI) is related to: Rat Genome Database (RGD) is related to: Zebrafish Information Network (ZFIN) is related to: openSNP is related to: Ancora is related to: PhenoGen Informatics is related to: Lifespan Observations Database has parent organization: Oregon Health and Science University; Oregon; USA is parent organization of: monarch-ontologies |
NIH Office of the Director R24 OD011883 | PMID:26269093 | Free, Freely available | r3d100011594, nlx_152525, SCR_001373, nlx_152748 | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources, https://doi.org/10.17616/R31M09 | SCR_000824 | MONARCH Integrated Disease Model, MONARCH Integrated Disease Models View, MONARCH Disease Models View, The MONARCH Initiative | 2026-09-05 06:24:26 | 13 | ||||
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Functional Biosciences Resource Report Resource Website 1+ mentions |
Functional Biosciences (RRID:SCR_000943) | service resource | A service that provides low cost DNA sequencing. They utilize microfluidic technology. | dna, sequencing, sequence, gene, genome, microfluidic, technology | is listed by: ScienceExchange | SciEx_9422 | http://www.scienceexchange.com/facilities/functional-biosciences-inc | SCR_000943 | Functional Biosciences Inc. | 2026-09-05 06:24:27 | 2 | ||||||||
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SIMM Resource Report Resource Website 1+ mentions |
SIMM (RRID:SCR_000849) | simulation software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 6th,2023. Gene dropping simulation software. The program is a gzip'ed tar archive and is designed to run under UNIX/Linux operating system. | gene, genetic, genomic, software | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154626 | http://mlemire.freeshell.org/software.html | SCR_000849 | SimM | 2026-09-05 06:24:26 | 2 | |||||||
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Mouse Brain Library Resource Report Resource Website 10+ mentions |
Mouse Brain Library (RRID:SCR_001112) | MBL | atlas, data or information resource, database, image collection, portal, topical portal, video resource | Collection of high resolution images and databases of brains from many genetically characterized strains of mice with aim to systematically map and characterize genes that modulate architecture of mammalian CNS. Includes detailed information on genomes of many strains of mice. Consists of images from approximately 800 brains and numerical data from just over 8000 mice. You can search MBL by strain, age, sex, body or brain weight. Images of slide collection are available at series of resolutions. Apple's QuickTime Plugin is required to view available MBL Movies. | brain, gene, genome, strain, c57bl/6j, dba/2j, a/j, genetic variant, phenotype, hippocampus, cerebellum, striatum, olfactory bulb, thalamus, neocortex, dorsal nucleus of lateral geniculate body, central nervous system |
is related to: Videoscribbler has parent organization: University of Tennessee Health Science Center; Tennessee; USA is parent organization of: MBL Pivot Collection is parent organization of: Mouse Brain Atlases |
NIMH P20 MH62009 | PMID:10857184 PMID:15043219 |
Restricted | nif-0000-00030 | SCR_001112 | MBL - Mouse Brain Library, Mouse Brain Library, The Mouse Brain Library | 2026-09-05 06:24:29 | 24 | |||||
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rbsurv Resource Report Resource Website 1+ mentions |
rbsurv (RRID:SCR_001175) | rbsurv | software resource | Software package that selects genes associated with survival. | microarray, gene, survival, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
Free, Available for download, Freely available | biotools:rbsurv, BioTools:rbsurv, OMICS_02088 | https://bio.tools/rbsurv, https://bio.tools/rbsurv, https://bio.tools/rbsurv | SCR_001175 | rbsurv - Robust likelihood-based survival modeling with microarray data | 2026-09-05 06:24:30 | 1 | ||||||
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categoryCompare Resource Report Resource Website 1+ mentions |
categoryCompare (RRID:SCR_001223) | categoryCompare | data analysis software, data processing software, software application, software resource | A software package for meta-analysis of high-throughput experiments using feature annotations. It calculates significant annotations (categories) in each of two (or more) feature (i.e. gene) lists, determines the overlap between the annotations, and returns graphical and tabular data about the significant annotations and which combinations of feature lists the annotations were found to be significant. Interactive exploration is facilitated through the use of RCytoscape (heavily suggested). | annotation, go, gene expression, multiple comparison, pathway, gene |
uses: Cytoscape is listed by: OMICtools is related to: Gene Ontology is related to: CRAN has parent organization: Bioconductor |
PMID:24808906 | Free, Available for download, Freely available | OMICS_02122 | SCR_001223 | categoryCompare - Meta-analysis of high-throughput experiments using feature annotations | 2026-09-05 06:24:31 | 9 |
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