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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Human Genome Epidemiology Network Resource Report Resource Website 10+ mentions |
Human Genome Epidemiology Network (RRID:SCR_013117) | data or information resource, organization portal, portal | Human Genome Epidemiology Network, or HuGENet, is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. Its goals include: establishing an information exchange that promotes global collaboration in developing peer-reviewed information on the relationship between human genomic variation and health and on the quality of genetic tests for screening and prevention; providing training and technical assistance to researchers and practitioners interested in assessing the role of human genomic variation on population health and how such information can be used in practice; developing an updated and accessible knowledge base on the World Wide Web; and promoting the use of this knowledge base by health care providers, researchers, industry, government, and the public for making decisions involving the use of genetic information for disease prevention and health promotion. HuGENet collaborators come from multiple disciplines such as epidemiology, genetics, clinical medicine, policy, public health, education, and biomedical sciences. Currently, there are 4 HuGENet Coordinating Centers for the implementation of HuGENet activities: CDC''s Office of Public Health Genomics, Atlanta, Georgia; HuGENet UK Coordinating Center, Cambridge, UK; University of Ioannina, Greece; University of Ottawa , Ottawa, Canada. HuGENet includes: HuGE e-Journal Club: The HuGE e-Journal Club is an electronic discussion forum where new human genome epidemiologic (HuGE) findings, published in the scientific literature in the CDC''s Office of Public Health Genomics Weekly Update, will be abstracted, summarized, presented, and discussed via a newly created HuGENet listserv. HuGE Reviews: A HuGE Review identifies human genetic variations at one or more loci, and describes what is known about the frequency of these variants in different populations, identifies diseases that these variants are associated with and summarizes the magnitude of risks and associated risk factors, and evaluates associated genetic tests. Reviews point to gaps in existing epidemiologic and clinical knowledge, thus stimulating further research in these areas. HuGE Fact Sheets: HuGE Fact Sheets summarize information about a particular gene, its variants, and associated diseases. HuGE Case Studies: An on-line presentation designed to sharpen your epidemiological skills and enhance your knowledge on genomic variation and human diseases. Its purpose is to train health professionals in the practical application of human genome epidemiology (HuGE), which translates gene discoveries to disease prevention by integrating population-based data on gene-disease relationships and interventions. Students will acquire conceptual and practical tools for critically evaluating the growing scientific literature in specific disease areas. HUGENet Publications: Articles related to the HuGENet movement written by our HuGENet collaborators. HuGE Navigator: An integrated, searchable knowledge base of genetic associations and human genome epidemiology, including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. HuGE Workshops: HuGENet has sponsored meetings and workshops with national and international partners since 2001. Available are detailed summaries, agendas or the ability to download speaker slides. HuGE Book: Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease. (The findings and conclusions in this book are those of the author(s) and do not necessarily represent the views of the funding agency.) HuGENet Collaborators: HuGENet is interested in establishing collaborations with individuals and organizations working on population based research involving genetic information. HuGE Funding: Funding opportunities for specific population-based genetic epidemiology research projects are available. Research initiatives whose aims include assessing the prevalence of human genetic variation, the association between genetic variants and human diseases, the measurement of gene-gene or gene-environment interaction, and the evaluation of genetic tests for screening and prevention are compiled to create a posted listing. Additional information and application details can be found by clicking on the respective links. | epidemiology, gene, genetic, genetic variants, genome, articles, collaboration, disease, disease prevention, genomics, health promotion, human, human diseases | has parent organization: Centers for Disease Control and Prevention | nif-0000-00574 | SCR_013117 | HuGENet | 2026-02-16 09:48:17 | 25 | |||||||||
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EASE: the Expression Analysis Systematic Explorer Resource Report Resource Website 50+ mentions |
EASE: the Expression Analysis Systematic Explorer (RRID:SCR_013361) | EASE | data processing software, software application, software resource | Windows(c) desktop software application, customizable and standalone, that facilitates the biological interpretation of gene lists derived from the results of microarray, proteomic, and SAGE experiments. Provides statistical methods for discovering enriched biological themes within gene lists, generates gene annotation tables, and enables automated linking to online analysis tools. Offers statistical models to deal with multi-test comparison problem. Platform: Windows compatible | gene, microarray, genome, gene ontology, statistical analysis, enrichment analysis, FASEB list |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Database for Annotation Visualization and Integrated Discovery |
NIAID | PMID:12734009 PMID:19131956 PMID:19033363 |
Free for academic use | nlx_149218 | SCR_013361 | Expression Analysis Systematic Explorer | 2026-02-16 09:48:20 | 94 | |||||
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4D Nucleome Resource Report Resource Website 10+ mentions |
4D Nucleome (RRID:SCR_016925) | data or information resource, project portal, portal | Research project to understand the principles underlying nuclear organization in space and time, the role nuclear organization plays in gene expression and cellular function, and how changes in nuclear organization affect normal development and diseases. Portal provides free access to datasets, software packages, and protocols to advance biomedical research of nuclear architecture. Aims to develop and apply approaches to map the structure and dynamics of the human and mouse genomes. | nuclear, organization, gene, expression, cellular, function, normal, development, disease, map, structure, human, mouse, genome |
is listed by: NIDDK Information Network (dkNET) is related to: International Human Epigenome Consortium |
NIH Common Fund | PMID:28905911 | Public | SCR_016925 | 4D Nucleome Network; 4DN Web Portal, The 4D nucleome project, 4DN Portal | 2026-02-16 09:49:07 | 24 | |||||||
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GENCODE Resource Report Resource Website 5000+ mentions Rating or validation data |
GENCODE (RRID:SCR_014966) | data or information resource, dataset, project portal, portal | Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation. | human, mouse, genome, annotation, sequence, gene features, bio.tools |
is listed by: Debian is listed by: bio.tools is affiliated with: ENCODE |
NHGRI 5U54HG004555; Wellcome Trust WT098051 |
PMID:22955987 | Free | biotools:GENCODE | https://bio.tools/GENCODE | SCR_014966 | ENCODE | 2026-02-16 09:48:40 | 7700 | |||||
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rnaQUAST Resource Report Resource Website 1+ mentions |
rnaQUAST (RRID:SCR_016994) | data processing software, software application, software resource | Software tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. Capable to estimate gene database coverage by raw reads and de novo quality assessment using third party software. | evaluation, quality, RNA-Seq, assembly, data, transcriptome, assembler, reference, genome, gene, database, raw, read, , bio.tools |
uses: BUSCO is listed by: Debian is listed by: bio.tools is related to: rnaSPAdes is related to: Python Programming Language is related to: SPAdes |
EMC Research and Development Department ; St. Petersburg State University ; Russia |
PMID:27153654 | Free, Available for download, Freely available | biotools:rnaQUASt | https://bio.tools/rnaQUAST | SCR_016994 | 2026-02-16 09:49:08 | 3 | ||||||
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Whole Genome Shotgun (WGS) Project Resource Report Resource Website 1+ mentions |
Whole Genome Shotgun (WGS) Project (RRID:SCR_016637) | WGS | data processing software, software application, software resource | Project for assemblies of incomplete genomes or incomplete chromosomes of prokaryotes or eukaryotes that are being sequenced by a whole genome shotgun strategy. WGS projects may be annotated, but annotation is not required. The nucleotide and protein data from all WGS projects go into the BLAST database. | assembly, incomplete, chromosome, prokaryote, eukaryote, sequenced, whole, genome, shot, gun, strategy, data |
has parent organization: NCBI works with: NCBI BLAST |
National Library of Medicine | SCR_016637 | Whole Genome Shotgun WGS Project, Whole Genome Shotgun WGS, WGS Projects, Whole Genome Shotgun | 2026-02-16 09:49:04 | 6 | ||||||||
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Saccharomyces Genome Deletion Project Resource Report Resource Website 10+ mentions |
Saccharomyces Genome Deletion Project (RRID:SCR_014961) | data or information resource, database, project portal, portal | Database and project to reveal open reading frames (ORFs) in the yeast genome in order to discover their functions. A PCR-based gene deletion strategy is used to assign functions through phenotypic analysis of mutants. | yeast, open reading frames, ORF, genome, deletion, Saccharomyces cerevisiae | Free | SCR_014961 | 2026-02-16 09:48:41 | 18 | |||||||||||
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Gene-conservation-informed-contig-alignment Resource Report Resource Website 1+ mentions |
Gene-conservation-informed-contig-alignment (RRID:SCR_017617) | GCICA | data processing software, software application, software resource | Software tool for separation haplotigs from genome assembly. Method to separate haplotigs based on sequence similarity. | Separation, haplotig, genome, assembly, sequence, similarity | Free, Available for download, Freely available | SCR_017617 | 2026-02-16 09:49:16 | 1 | ||||||||||
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TGS-GapCloser Resource Report Resource Website 10+ mentions |
TGS-GapCloser (RRID:SCR_017633) | data processing software, software application, software resource | Software tool that uses long reads to enhance genome assembly. Fast and accurate gap closing software tool that uses low coverage of error-prone long reads generated by third generation sequence techniques (Pacbio, Oxford Nanopore, etc.) or preassembled contigs for large genomes. | Error, prone, third, generation, sequencing, long, read, gap, closing, genome, assembly, contig, bio.tools |
is listed by: Debian is listed by: bio.tools |
Free, Available for download, Freely available | biotools:tGS-GapCloser | https://bio.tools/TGS-GapCloser | SCR_017633 | 2026-02-16 09:49:17 | 35 | ||||||||
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parSMURF Resource Report Resource Website 1+ mentions |
parSMURF (RRID:SCR_017560) | data processing software, software application, software resource | Open source software package as high performance computing imbalance aware machine learning tool for genome wide detection of pathogenic variants. | High, performance, computing, imbalance, aware, machine, learning, genome, wide, detection, pathogenic, variant, bio.tools |
is listed by: bio.tools is listed by: Debian |
Free, Available for download, Freely available | biotools:parsmurf | https://bio.tools/parsmurf | SCR_017560 | 2026-02-16 09:49:16 | 1 | ||||||||
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ATACseqMappingPipeline Resource Report Resource Website 1+ mentions |
ATACseqMappingPipeline (RRID:SCR_017558) | data processing software, software application, software resource | Software tool as pipeline to map ATAC-seq data to large genome, for example, for wheat. It splits large genome files into parts and do mapping and then finally merge them. | Map, ATAC-seq, data, genome, large, merge | Free, Freely available | SCR_017558 | 2026-02-16 09:49:15 | 1 | |||||||||||
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Plantagora Resource Report Resource Website 1+ mentions |
Plantagora (RRID:SCR_001227) | Plantagora | data set, data or information resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. A web-based plant genome assembly simulation platform whose resources include out of the box scripts for analyzing assembly data, an on-demand web graphing tool to model your experiment, and a downloadable database with metrics and parameters from over 3,000 simulated genome assemblies. | next-generation sequencing, genome assembly, sequencing, genome, 454, illumina, simulate |
is listed by: OMICtools has parent organization: University of Arizona; Arizona; USA |
PMID:22174807 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02116 | SCR_001227 | Plantagora - a resource for plant genome assembly | 2026-02-16 09:45:26 | 1 | ||||||
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Sequencing of Idd regions in the NOD mouse genome Resource Report Resource Website 1+ mentions |
Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) | Sequencing of Idd regions in the NOD mouse genome | data set, data or information resource, resource | Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site. | genome, sequencing, genome sequencing, insulin-dependent diabetes, c57bl/6j, single nucleotide polymorphism, genetic variation, bacterial artificial chromosome, sequence, gene, animal model, clone, annotation, contig |
lists: VEGA is listed by: NIDDK Information Network (dkNET) has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Type 1 diabetes, Diabetes | NIAID AI 15416; NIDDK ; JDRF |
PMID:23729657 | Free, Freely available | nlx_152738 | http://www.sanger.ac.uk/resources/mouse/nod/ | SCR_001483 | Sequencing of Insulin-dependent diabetes regions in the NOD mouse genome | 2026-02-16 09:45:29 | 1 | |||
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NHGRI Sample Repository for Human Genetic Research Resource Report Resource Website 1+ mentions |
NHGRI Sample Repository for Human Genetic Research (RRID:SCR_004528) | NHGRI Repository | material resource, biomaterial supply resource, cell repository | DNA samples and cell lines from fifteen populations, including the samples used for the International HapMap Project, the HapMap 3 Project and the 1000 Genomes Project (except for the CEPH samples). All of the samples were contributed with consent to broad data release and to their use in many future studies, including for extensive genotyping and sequencing, gene expression and proteomics studies, and all other types of genetic variation research. NHGRI led the contribution of the NIH to the International HapMap Project, which developed a haplotype map of the human genome. This haplotype map, called the HapMap is a publicly available tool that allows researchers to find genes and genetic variations that affect health and disease. The samples from four populations used to develop the HapMap were initially housed in the Human Genetic Cell Repository of the National Institute of General Medical Sciences (NIGMS). Except for the Utah CEPH samples that were in the NIGMS Repository before the initiation of the HapMap Project and remain there, the NHGRI Repository now houses all of the HapMap samples. The NHGRI repository also houses the extended set of HapMap samples, which includes additional samples from the HapMap populations and samples from seven additional populations. All of the samples were collected with extensive community engagement, including discussions with members of the donor communities about the ethical and social implications of human genetic variation research. These samples were studied as part of the HapMap 3 Project. The NHGRI repository also houses the samples for the International 1000 Genomes Project. This Project is lightly sequencing genome-wide 2500 samples from 27 populations. This project aims to provide a detailed map of human genetic variation, including common and rare SNPs and structural variants. This map will allow more precise localization of genomic regions that contribute to health and disease. The 1000 Genomes Project includes many of the samples from the HapMap and extended set of HapMap samples, as well as samples being collected from additional populations. Currently, samples from five additional populations are available; the others will become available during 2011 and 2012. No identifying or phenotypic information is available for the samples. Donors gave broad consent for use of the samples, including for genotyping, sequencing, and cellular phenotype studies. Samples collected from other populations for the study of human genetic variation may be added to the collection in the future. The NHGRI Repository distributes high quality lymphoblastoid cell lines and DNA from the samples to researchers. DNA is provided in plates or panels of 70 to 100 samples or as individual samples. Cell cultures and DNA samples are distributed only to qualified professional persons who are associated with recognized research, medical, educational, or industrial organizations engaged in health-related research or health delivery. | genome, frozen, gene, dna, cell line, lymphoblastoid cell line, genetic variation |
is used by: 1000 Genomes: A Deep Catalog of Human Genetic Variation is listed by: One Mind Biospecimen Bank Listing is related to: International HapMap Project is related to: HapMap 3 and ENCODE 3 has parent organization: Coriell Cell Repositories |
All | NHGRI | Qualified professional | nlx_143818 | SCR_004528 | Sample Repository for Human Genetic Research | 2026-02-16 09:46:22 | 1 | |||||
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BeetleBase Resource Report Resource Website 50+ mentions |
BeetleBase (RRID:SCR_001955) | BEETLEBASE | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | 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 | 2026-02-16 09:45:41 | 82 | ||||
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MycoCosm Resource Report Resource Website 100+ mentions |
MycoCosm (RRID:SCR_005312) | MycoCosm | data analysis service, analysis service resource, data repository, database, storage service resource, production service resource, service resource, data or information resource | Fungal genomics database and interactive analytical tools that integrates all fungal genomes for diverse fungi that are important for energy and environment, the focus of the JGI Fungal program. It integrates genomics data from the DOE JGI and its users and promotes user community participation in data submission, annotation and analysis. Over 100 newly sequenced and annotated fungal genomes from JGI and elsewhere are available to the public through MycoCosm, and new annotated genomes are being added to this resource upon completion of annotation. MycoCosm offers web-based genome analysis tools for fungal biologists to ''navigate'' through sequenced genomes and explore them in the context of ''genome-centric'' and ''comparative views''. | gene, genome, geneome map, jgi, fungus, genomics, energy, environment, annotation, FASEB list |
is listed by: OMICtools is related to: 1000 Fungal Genome Project has parent organization: DOE Joint Genome Institute |
DOE | PMID:24297253 PMID:22110030 |
Public, Acknowledgement requested, The community can contribute to this resource | OMICS_01657, nlx_144366, r3d100011751 | https://doi.org/10.17616/R3QQ0J | http://jgi.doe.gov/fungi | SCR_005312 | MycoCosm - the fungal genomics resource | 2026-02-16 09:46:39 | 240 | |||
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University of Bergen Computational Biology Unit Resource Report Resource Website |
University of Bergen Computational Biology Unit (RRID:SCR_002970) | UiB CBU | data or information resource, department portal, organization portal, portal | An inter-department center that conducts bioinformatics research and expands the interface between bioinformatics and experimental biological and biomedical research. The unit is closely associated with the the Bioinformatics group at the Department of Informatics (II) and has tight links with the Sars Centre for Marine Molecular biology (SARS) and the Department of Molecular Biology (MBI). Six research groups are currently associated with CBU with projects that include sequence and structure analysis, molecular evolution, genome annotation and genomics data analysis. CBU also provides services and contributes to bioinformatics education primarily through training courses. | computational, biology, bioinformatics, analysis, structure, molecular, evolution, genome, annotation, functional genomic, programming, rna, dna, molecular biology, protein modelling, integrated genomics, evolutionary genomics | has parent organization: University of Bergen; Bergen; Norway | Research Council of Norway ; FUGE programme |
nif-0000-30147 | http://www.cbu.uib.no | SCR_002970 | UiB Computational Biology Unit | 2026-02-16 09:45:55 | 0 | ||||||
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COnsensus-DEgenerate Hybride Oligonucleotide Primers Resource Report Resource Website 1+ mentions |
COnsensus-DEgenerate Hybride Oligonucleotide Primers (RRID:SCR_002875) | software application, data processing software, data analysis software, data analysis service, analysis service resource, software resource, production service resource, service 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 | 2026-02-16 09:45:56 | 8 | ||||||||
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National Swine Resource and Research Center Resource Report Resource Website 50+ mentions |
National Swine Resource and Research Center (RRID:SCR_006855) | NSRRC | organism supplier, material resource, biomaterial supply resource, cell repository | Provides access to critically needed swine models of human health and disease as well as a central resource for reagents, creation of new genetically modified swine, and information and training related to use of swine models in biomedical research. | RIN, Resource Information Network, pig, fetal fibroblast, live animal, tissue, fibroblast, fetus, genetically modified pig, biomaterial manufacture, genome, genotyping, genetics, reproduction, breeding, health monitoring, cryopreservation, phenotyping, consulting, RRID Community Authority |
is used by: Integrated Animals is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network is related to: One Mind Biospecimen Bank Listing has parent organization: University of Missouri; Missouri; USA |
NIH Office of the Director U42 OD011140; NIAID ; NHLBI |
Public, To investigators, Application required | nif-0000-12086 | SCR_006855 | National Swine Resource Research Center | 2026-02-16 09:46:49 | 79 | ||||||
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Candidate Genes to Inherited Diseases Resource Report Resource Website 1+ mentions |
Candidate Genes to Inherited Diseases (RRID:SCR_008190) | G2D | data analysis service, analysis service resource, database, production service resource, service resource, data or information 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 | 2026-02-16 09:47:07 | 2 |
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