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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Diabetes Disease Portal Resource Report Resource Website |
Diabetes Disease Portal (RRID:SCR_001660) | Diabetes Disease Portal | data set, topical portal, disease-related portal, data or information resource, portal | An integrated resource for information on genes, QTLs and strains associated with diabetes. The portal provides easy acces to data related to both Type 1 and Type 2 Diabetes and Diabetes-related Obesity and Hypertension, as well as information on Diabetic Complications. View the results for all the included diabetes-related disease states or choose a disease category to get a pull-down list of diseases. A single click on a disease will provide a list of related genes, QTLs, and strains as well as a genome wide view of these via the GViewer tool. A link from GViewer to GBrowse shows the genes and QTLs within their genomic context. Additional pages for Phenotypes, Pathways and Biological Processes provide one-click access to data related to diabetes. Tools, Related Links and Rat Strain Models pages link to additional resources of interest to diabetes researchers. | gene, quantitative trait locus, strain, diabetic complication, genome, gviewer, genomic, phenotype, pathway, biological process, chromosome, visualization, molecular function, cellular component, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Type 1 diabetes, Type 2 diabetes, Diabetes, Obesity, Hyperlipidemia, Metaboic disease, Hypertension | Free, Freely Available | nlx_153942 | http://rgd.mcw.edu/rgdCuration/?module=portal&func=show&name=diabetes | SCR_001660 | 2026-08-06 09:25:26 | 0 | ||||||
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AutDB Resource Report Resource Website 10+ mentions |
AutDB (RRID:SCR_001872) | AutDB | storage service resource, service resource, data repository, data or information resource, database | Curated public database for autism research built on information extracted from the studies on molecular genetics and biology of Autism Spectrum Disorders (ASD). The genetic information includes data from linkage and association studies, cytogenetic abnormalities, and specific mutations associated with ASD. New gene submissions are welcome. Modules: * Human Gene: thoroughly annotated list of genes that have been studied in the context of autism, with information on the genes themselves, relevant references from the literature, and the nature of the evidence. Uniquely, SFARI Gene incorporates information on both common and rare variants. * Animal Model: information about lines of genetically modified mice that represent potential models of autism. This information includes the nature of the targeting construct, the background strain and, most importantly, a thorough summary of the phenotypic features of the mice that are most relevant to autism. * Protein Interaction (PIN): compilation of all known direct protein interactions for those gene products implicated in autism. It presents both graphical and tabular views of interactomes, highlighting connections between autism candidate genes. Each protein interaction is manually verified by consultation with the primary reference. * Copy Number Variant (CNV): a parallel resource providing genetic information about all known copy number variants linked to autism. * Gene Scoring: includes a "score" for each autism candidate gene, based on an assessment of the strength of human genetic evidence. | duplication, gene, genetic syndrome, genetic variation, allelic, autism, autism spectrum disorder, deletion, molecular function, molecular genetics, single-gene disruption, genetic association, genetic variation, allelic variant, copy number variant, cytogenetic, disruption, idiopathic asd, monogenic, mutation, polymorphism, human, animal model, mouse, protein interaction, sfari gene, phenotype, protein interaction, gene scoring, systems biology |
is listed by: NIF Data Federation is listed by: 3DVC is related to: Integrated Manually Extracted Annotation has parent organization: SFARI - Simons Foundation Autism Research Initiative |
Autism Spectrum Disorder, Autism | MindSpec: Informatics for Neurodevelopmental Conditions | PMID:19015121 | Free, Freely available | nif-0000-02587 | http://www.mindspec.org/products/autdb/, https://gene.sfari.org/autdb/ | http://autism.mindspec.org/autdb/ | SCR_001872 | AutDB - An Interface to Autism Research, Simons Foundation Autism Research Initiative Gene: Autism Database, SFARI Gene: AutDB, SFARI Gene, AutDB: a Genetic Database for Autism Spectrum Disorders | 2026-08-06 09:25:32 | 40 | ||
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Candida Genome Database Resource Report Resource Website 100+ mentions |
Candida Genome Database (RRID:SCR_002036) | CGD, CGD LOCUS, CGD REF | storage service resource, service resource, data repository, data or information resource, database | 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 | nif-0000-02634, biotools:cgd, r3d100010617 | https://bio.tools/cgd | SCR_002036 | 2026-08-06 09:25:33 | 472 | |||||
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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 set, training resource, data or information resource, slide, image collection | 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 | 2026-08-06 09:25:34 | 0 | ||||||
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autoSNPdb Resource Report Resource Website |
autoSNPdb (RRID:SCR_001927) | autoSNPdb | storage service resource, service resource, data repository, data or information resource, database | 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 | 2026-08-06 09:25:33 | 0 | ||||
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ASTRAL Compendium for Sequence and Structure Analysis Resource Report Resource Website 10+ mentions |
ASTRAL Compendium for Sequence and Structure Analysis (RRID:SCR_001886) | ASTRAL | software resource, data storage software, data or information resource, data processing software, software application, database | It provides databases and tools useful for analyzing protein structures and their sequences. It is partially derived from, and augments the SCOP: Structural Classification of Proteins database, a database created by manual inspection and abetted by a battery of automated methods, aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between all proteins whose structure is known. Most of the resources provided here depend upon the coordinate files maintained and distributed by the Protein Data Bank. Sponsors: This work is supported by grants from the NIH (1-P50-GM62412, 1-K22-HG00056) and the Searle Scholars Program (01-L-116), and by the US Department of Energy under contract DE-AC03-76SF00098. | gene, amino acid, homology, protein sequence, protein structure | has parent organization: University of California at Berkeley; Berkeley; USA | PMID:10592239 | Free, Available for download, Freely available | nif-0000-02580 | SCR_001886 | ASTRAL Compendium for Sequence and Structure Analysis, The ASTRAL Compendium for Sequence and Structure Analysis | 2026-08-06 09:25:31 | 27 | ||||||
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Aspergillus Genomes Resource Report Resource Website |
Aspergillus Genomes (RRID:SCR_001880) | Aspergillus Genomes | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | A resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects, resulting from the merging of Central Aspergillus Data REpository (CADRE) and The Aspergillus Website, which took place in June 2008. The principal role of CADRE is to aid the Aspergillus research community by managing Aspergillus genome data and by providing visualization tools, ranging from relatively simple annotation displays to more complex data integration displays. In contrast, The Aspergillus Website provides a range of information to the medical community (i.e., clinicians, patients and scientists) regarding the genus Aspergillus and the diseases, such as Aspergillosis, that it can cause. CADRE has been implemented using the Ensembl v22 suite. This suite comprises: * a database schema, which has been devised for storing annotated eukaryotic genomes. The schema is implemented with the MySQL relational database management system. * several specialized programming modules for building interfaces (i.e., BioPerl and Ensembl API modules). * a series of programs (i.e., Perl CGI scripts using the API modules) for viewing genomic data within a web browser., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genome, eukaryotic genome, gene, gene annotation, aspergillosis, aspergillus, pathway, annotation, sequence, metabolic pathway, genomics, clinical, strain, dna, peptide, blast | Fungal Research Trust | PMID:19039001 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02577, r3d100011253 | https://doi.org/10.17616/R3005P | SCR_001880 | 2026-08-06 09:25:32 | 0 | ||||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | software resource, data access protocol, web service, data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis. | functional domain, annotation, motif, protein, ontology enrichment, gene, high-throughput, functional classification, functional annotation, clustering, genome, pathway, gene-disease association, interaction, functional domain, motif, visualization, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: LabWorm is listed by: SoftCite is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG has parent organization: NCI-Frederick |
NIAID NO1-CO-56000; NCI |
PMID:19131956 PMID:12734009 PMID:35325185 PMID:22543366 PMID:17980028 PMID:17576678 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30408, nif-0000-10451, OMICS_02220, SCR_003033 | http://david.abcc.ncifcrf.gov/ | SCR_001881 | DAVID Bioinformatics Resources, Visualization and Integrated Discovery Bioinformatics Resources, Database for Annotation Visualization and Integrated Discovery, The Database for Annotation, The Database for Annotation Visualization and Integrated Discovery Bioinformatics Resources | 2026-08-06 09:25:29 | 18488 | ||||
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GATK Resource Report Resource Website 10000+ mentions |
GATK (RRID:SCR_001876) | GATK | software resource, software library, data analysis software, software toolkit, data processing software, software application | A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software) | gene, genetic, genomic, next-generation resequencing, bio.tools |
is used by: Halvade Somatic is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: SnpEff is related to: GATK HaplotypeCaller is related to: GATK VariantFiltration has parent organization: Broad Institute |
PMID:21478889 | Free, Available for download, Freely available | nlx_154324, OMICS_00286, biotools:gatk | http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit, https://bio.tools/gatk | SCR_001876 | Genome Analysis ToolKit | 2026-08-06 09:25:32 | 16663 | |||||
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University of Utah Genetic Science Learning Center - Learn Genetics Resource Report Resource Website 1+ mentions |
University of Utah Genetic Science Learning Center - Learn Genetics (RRID:SCR_001910) | Learn.Genetics, Learn Genetics | training resource, data or information resource, slide, training material, narrative resource, video resource | Educational resources that provide accurate and unbiased information about topics in genetics, bioscience and health for global and local audiences. They are jargon-free, target multiple learning styles, and often convey concepts through animation and interactivity. The Genetic Science Learning Center is a science and health education program located in the midst of the bioscience research being carried out at the University of Utah. Our mission is making science easy for everyone to understand. * Two websites, available free of charge to Internet users worldwide: ** Learn.Genetics delivers educational materials on genetics, bioscience and health topics. They are designed to be used by students, teachers and members of the public. The materials meet selected US education standards for science and health. ** Teach.Genetics provides resources for K-12 teachers, higher education faculty, and public educators. These include PDF-based Print-and-Go™ activities, unit plans and other supporting resources. The materials are designed to support and extend the materials on Learn.Genetics. *Professional development programs that update K-16 teachers' expertise in bioscience and health topics as well as prepare them to implement the materials on our websites. * Community programs that engage with diverse communities in discussions about genetics and health, and in developing culturally and linguistically-appropriate educational materials. Some topics in genetics and bioscience research are controversial. The Center does not take sides in political or ethical controversies. Rather, our goal is to provide comprehensive information that promotes a lively discussion of these topics, so that individuals can arrive at their own informed decisions. | gene, dna, protein, education, genetics, science, bioscience, health, teacher, student, public, professional development, k-12, undergraduate, lesson plan, heredity, genetic trait, cell, molecule, stem cell, cloning, gene therapy, transgenic mouse, epigentics, addiction, genetic variation |
has parent organization: University of Utah; Utah; USA is parent organization of: New Science of Addiction: Genetics and the Brain |
NIH Office of the Director R25OD021903 | You are granted a revocable license to download and print hard copy versions of the material contained on the site for your personal, Educational and noncommercial use, Provided you do not modify or delete any copyright or other notice that appears on the material you download or print. | nif-0000-10482 | http://learns.genetics.utah.edu/ | SCR_001910 | University of Utah Genetic Science Learning Center, Genetic Science Learning Center - Learn.Genetics, Genetic Science Learning Center, Genetic Science Learning Center - Learn Genetics | 2026-08-06 09:25:31 | 9 | |||||
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Arabidopsis thaliana Protein Interactome Database Resource Report Resource Website 1+ mentions |
Arabidopsis thaliana Protein Interactome Database (RRID:SCR_001896) | AtPID | storage service resource, service resource, data repository, data or information resource, database | 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 | 2026-08-06 09:25:29 | 8 | ||||
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JGI Genome Portal Resource Report Resource Website 500+ mentions |
JGI Genome Portal (RRID:SCR_002383) | portal, department portal, data or information resource, organization portal | Portal providing access to all JGI genomic databases and analytical tools, sequencing projects and their status, search for and download assemblies and annotations of sequenced genomes, and interactively explore those genomes and compare them with other sequenced microbes, fungi, plants or metagenomes using specialized systems tailored to each particular class of organisms. The Department of Energy (DOE) Joint Genome Institute (JGI) is a national user facility with massive-scale DNA sequencing and analysis capabilities dedicated to advancing genomics for bioenergy and environmental applications. Beyond generating tens of trillions of DNA bases annually, the Institute develops and maintains data management systems and specialized analytical capabilities to manage and interpret complex genomic data sets, and to enable an expanding community of users around the world to analyze these data in different contexts over the web. | gene, computation, genome, genomics, model organism, assembly, annotation, sequenced genome, metagenome, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: DOE Joint Genome Institute is parent organization of: Takifugu rubripes Genome |
Department of Energy | PMID:24225321 PMID:22110030 |
nif-0000-21230, SCR_004706, OMICS_01654, biotools:jgi_genome_portal, nlx_69965 | http://genome.jgi-psf.org, https://bio.tools/jgi_genome_portal | http://genome.jgi-psf.org/ | SCR_002383 | JGI Genome Portal, DOE Joint Genome Institute Genome Portal | 2026-08-06 09:25:38 | 865 | |||||
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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 | software resource, service resource, production service resource, data analysis service, software application, analysis service 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 | 2026-08-06 09:25:33 | 144 | ||||
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pfSNP Resource Report Resource Website 1+ mentions |
pfSNP (RRID:SCR_002167) | pfSNP | storage service resource, service resource, data repository, data or information resource, database | Search engine integrating various bio-informatic resources and algorithims to produce a one-stop resource for biologists to identify potentially functional SNPs. It caters to different groups of scientists interested in SNPs including those working in the following areas: * Whole-genome association studies * Gene-based association studies * Designing experiments to address the functionality of specific SNPs * Determining potentially functionally significant SNPs that are in LD with non-pfSNPs of interest. Users may add published SNP functions. | single nucleotide polymorphism, function, association study, gene, genome |
is listed by: OMICtools has parent organization: National University of Singapore; Singapore; Singapore |
PMID:20672376 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01854 | SCR_002167 | Potentially Functional SNP Search Engine, pfSNP Search Engine | 2026-08-06 09:25:36 | 7 | ||||||
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Autosomal Recessive Polycystic Kidney Disease Mutation Database Resource Report Resource Website 10+ mentions |
Autosomal Recessive Polycystic Kidney Disease Mutation Database (RRID:SCR_002290) | storage service resource, service resource, data repository, data or information resource, database | Catalog of all changes detected in PKHD1 (Polycystic Kidney and Hepatic Disease 1) in a locus specific database. Investigators are invited to submit their novel data to this database. These data should be meaningful for clinical practice as well as of relevance for the reader interested in molecular aspects of polycystic kidney disease (PKD). There are also some links and information for ARPKD patients and their parents. Autosomal recessive polycystic kidney disease (ARPKD/PKHD1) is an important cause of renal-related and liver-related morbidity and mortality in childhood. This study reports mutation screening in 90 ARPKD patients and identifies mutations in 110 alleles making up a detection rate of 61%. Thirty-four of the detected mutations have not been reported previously. Two underlying mutations in 40 patients and one mutation in 30 cases are disclosed, and no mutation was detected on the remaining chromosomes. Mutations were found to be scattered throughout the gene without evidence of clustering at specific sites. PKHD1 mutation analysis is a powerful tool to establish the molecular cause of ARPKD in a given family. Direct identification of mutations allows an unequivocal diagnosis and accurate genetic counseling even in families displaying diagnostic challenges. | clinical, gene, genetic, mutation, protein, recessive, renal | has parent organization: RWTH Aachen University; Aachen; Germany | Autosomal recessive polycystic kidney disease, Polycystic kidney disease | PMID:16199545 PMID:11919560 |
Permission required, Terms of use | nif-0000-21038 | http://www.humgen.rwth-aachen.de/index.asp?subform=database.html&nav=database_nav.html | SCR_002290 | Mutation Database Autosomal Recessive Polycystic Kidney Disease (ARPKD/PKHD1) | 2026-08-06 09:25:37 | 14 | |||||
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Genevestigator Resource Report Resource Website 100+ mentions |
Genevestigator (RRID:SCR_002358) | Genevestigator | commercial organization, service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | A high performance search engine for gene expression that integrates thousands of manually curated public microarray and RNAseq experiments and nicely visualizes gene expression across different biological contexts (diseases, drugs, tissues, cancers, genotypes, etc.). There are two basic analysis approaches: # for a gene of interest, identify which conditions affect its expression. # for condition(s) of interest, identify which genes are specifically expressed in this/these conditions. Genevestigator builds on the deep integration of data, both at the level of data normalization and on the level of sample annotations. This deep integration allows scientists to ask new types of questions that cannot be addressed using conventional tools. | gene, genetic, animal, development, disease, meta-analysis, regulation, stage, microarray, rnaseq, visualization, gene expression, disease, drug, tissue, cancer, genotype, pharma, biomedical, conditions, genotype, anatomy, neoplasm, chemical, hormone, infection, model organism, organ, cell type, cell line, target, biomarker, similarity, FASEB list | is parent organization of: RefGenes | 4 products:, Free, Free for academic use, Account required, Paid subscription, Local installation | nif-0000-21172, OMICS_00763 | SCR_002358 | 2026-08-06 09:25:38 | 396 | ||||||||
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Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis Resource Report Resource Website 50+ mentions |
Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (RRID:SCR_002676) | CAMERA | storage service resource, service resource, production service resource, data repository, data analysis service, data or information resource, organization portal, portal, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016; however, the URL provides links to associated projects and data. A suite of data query, download, upload, analysis and sharing tools serving the needs of the microbial ecology research community, and other scientists using metagenomics data. | ecology, energy, environment, gene, analysis, bioinformatics, biological, biology, community, cyberinfrastructure, data, dna, genome, genomics, health care, map, marine, metadata, metagenomic, microbial, microbiology, molecular biology, organism, research, scientific, sequence, sequencing, software, tool, training, viral |
is listed by: OMICtools is related to: VIROME has parent organization: University of California at San Diego; California; USA |
Gordon and Betty Moore Foundation | PMID:21045053 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_011924, OMICS_01476, nif-0000-23292 | SCR_002676 | 2026-08-06 09:25:41 | 83 | ||||||
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Centre for Modeling Human Disease Gene Trap Resource Resource Report Resource Website 1+ mentions |
Centre for Modeling Human Disease Gene Trap Resource (RRID:SCR_002785) | CMHD Gene Trap Resource | production service resource, material service resource, biomaterial manufacture, service resource | Generate gene trap insertions using mutagenic polyA trap vectors, followed by sequence tagging to develop a library of mutagenized ES cells freely available to the scientific community. This library is searchable by sequence or key word searches including gene name or symbol, chromosome location, or Gene Ontology (GO) terms. In addition,they offer a custom email alert service in which researchers are able to submit search criteria. Researchers will receive automated e-mail notification of matching gene trap clones as they are entered into the library and database. The resource features the use of complementary second and third generation polyA trap vectors developed by the Stanford lab and the laboratory of Professor Yasumasa Ishida of the Nara Institute of Science and Technology (NAIST) in Japan to mutagenize murine embryonic stem (ES) cells. CMHD gene trap clones are distributed by the Canadian Mouse Mutant Repository(CMMR). Information about ordering, services, and pricing can be found on their web site (http://www.cmmr.ca/services/index.html)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | embryonic stem cell, polya trap vector, gene trap, insertion, mutagenic polya trap vector, sequence, expression, mutagenesis, gene, mutation, expression profile, phenotype, database, gene expression, vector insertion, expressed sequence tag, blast, clone |
is related to: Gene Ontology is related to: CMMR - Canadian Mouse Mutant Repository is related to: International Gene Trap Consortium has parent organization: CMHD - Centre for Modeling Human Disease |
Canadian Institutes of Health Research ; Genome Canada ; Genome Prairie ; NIH |
PMID:14681480 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02891 | http://www.cmhd.ca/sub/genetrap.asp | SCR_002785 | Centre for Modeling Human Disease (CMHD) Gene Trap Resource | 2026-08-06 09:25:43 | 3 | ||||
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Honey Bee Genome Project Resource Report Resource Website 1+ mentions |
Honey Bee Genome Project (RRID:SCR_002890) | portal, topical portal, data or information resource | The HGSC has sequenced the honey bee, Apis mellifera. The version 4.0 assembly was released in March 2006 and published in October 2006. The genome sequence is being upgraded with additional sequence coverage. The honey bee is important in the agricultural community as a producer of honey and as a facilitator of pollination. It is a model organism for studying the following human health issues: immunity, allergic reaction, antibiotic resistance, development, mental health, longevity and diseases of the X chromosome. In addition, biologists are interested in the honey bee's social organization and behavioral traits. This project was proposed to the HGSC by a group of dedicated insect biologists, headed by Gene Robinson. Following a workshop at the HGSC and a honey bee white paper, the HGSC began the project in 2002. A 6-fold coverage WGS, BAC sequence from pooled arrays, and an initial genome assembly (Amel_v1.0) were released beginning in 2003. This has been a challenging project with difficulty in recovering AT-rich regions. The WGS data had lower coverage in AT-rich regions and BAC data from clones showed evidence of internal deletions. Additional reads from AT enriched DNA addressed these underrepresented regions. The current assembly Amel_4.0 was produced with Atlas and includes 2.7 million reads (1.8 Gb) or 7.5x coverage of the (clonable) genome. About 97% of STSs, 98% of ESTs, and 96% of cDNAs are represented in the 231 Mb assembly. About 2,500 reads were also produced from a strain of Africanized honey bee and SNPs were extracted. These were released in dbSNP and the NCBI Trace Archive. Analysis of the genome by a consortium of 20 labs has been completed. This produced a gene list derived from five different methods melded through the GLEAN software. Publications include a main paper in Nature and up to forty companion papers in Genome Research and Insect Molecular Biology. Sponsors: Sequencing of the honey bee is jointly funded by National Human Genome Research Institute (NHGRI) and the Department of Agriculture (USDA). Multiple drones from the same queen (strain DH4) were obtained from Danny Weaver of B. Weaver Apiaries. All libraries were made from DNA isolated from these drones. The honey bee BAC library (CHORI-224) was prepared by Pieter de Jong and Katzutoyo Osoegawa at the Children's Hospital Oakland Research Institute. | gene, agricultural, allergy, antibiotic, apis mellifera, array, behavioral, biologist, chromosome, development, disease, genome, heath, honey bee, human, immunity, insect, mental heath, organism, pollination, reaction, resistance, sequence, trait | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25604 | http://www.hgsc.bcm.tmc.edu/project-species-i-Apis%20mellifera.hgsc?pageLocation=Apis%20mellifera | SCR_002890 | Honey Bee | 2026-08-06 09:25:45 | 4 | |||||||
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BeetleBase Resource Report Resource Website 50+ mentions |
BeetleBase (RRID:SCR_001955) | BEETLEBASE | service resource, production service resource, data analysis service, data or information resource, analysis service resource, database | A centralized sequence database and community resource for Tribolium genetics, genomics and developmental biology containing genomic sequence scaffolds mapped to 10 linkage groups, genetic linkage maps, the official gene set, Reference Sequences from NCBI (RefSeq), predicted gene models, ESTs and whole-genome tiling array data representing several developmental stages. The current version of Beetlebase is built on the Tribolium castaneum 3.0 Assembly (Tcas 3.0) released by the Human Genome Sequencing Center at the Baylor College of Medicine. The database is constructed using the upgraded Generic Model Organism Database (GMOD) modules. The genomic data is stored in a PostgreSQL relational database using the Chado schema and visualized as tracks in GBrowse. The genetic map is visualized using the comparative genetic map viewer CMAP. To enhance search capabilities, the BLAST search tool has been integrated with the GMOD tools. Tribolium castaneum is a very sophisticated genetic model organism among higher eukaryotes. As the member of a primitive order of holometabolous insects, Coleoptera, Tribolium is in a key phylogenetic position to understand the genetic innovations that accompanied the evolution of higher forms with more complex development. Coleoptera is also the largest and most species diverse of all eukaryotic orders and Tribolium offers the only genetic model for the profusion of medically and economically important species therein. The genome sequences may be downloaded. | red flour beetle, tribolium castaneum, sequence data, gene, mutant, genetic marker, expressed sequence tag, genome, blast, model organism, insect, developmental biology, genomics, genetics, entomology, development, bio.tools, FASEB list |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: RefSeq has parent organization: Kansas State University; Kansas; USA |
NCRR P20 RR16475 | PMID:18362917 PMID:17090595 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02599, biotools:beetlebase, r3d100010921 | https://bio.tools/beetlebase, https://doi.org/10.17616/R3G61K | http://bioinformatics.k-state.edu/BeetleBase/, http://www.bioinformatics.ksu.edu/BeetleBase/ | SCR_001955 | 2026-08-06 09:25:34 | 82 |
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