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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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CustomCDF Resource Report Resource Website 1+ mentions |
CustomCDF (RRID:SCR_018527) | data processing software, software application, software resource | Brainarray custom CDFs for processing raw Affymetrix data. Used to map probe to probesets. Oligonucleotide probes on GeneChips are reorganized based on latest genome and transcriptome information. | Brainarray, custom CDF, processing raw Affymetrix data, data processing, map probe, probset, oligonucleotide probe, GeneChips, genome, transcriptome, data | PMID:16284200 | Free, Freely available | https://gist.github.com/rmflight/3108891 https://rdrr.io/github/jakejh/metapredict/man/installCustomCdfPackages.html |
SCR_018527 | 2026-02-16 09:49:31 | 8 | |||||||||
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NBDC - National Bioscience Database Center Resource Report Resource Website 1+ mentions |
NBDC - National Bioscience Database Center (RRID:SCR_000814) | NBDC | data or information resource, database, organization portal, portal | The National Bioscience Database Center (NBDC) intends to integrate all databases for life sciences in Japan, by linking each database with expediency to maximize convenience and make the entire system more user-friendly. We aim to focus our attention on the needs of the users of these databases who have all too often been neglected in the past, rather than the needs of the people tasked with the creation of databases. It is important to note that we will continue to honor the independent integrity of each database that will contribute to our endeavor, as we are fully aware that each database was originally crafted for specific purposes and divergent goals. Services: * Database Catalog - A catalog of life science related databases constructed in Japan that are also available in English. Information such as URL, status of the database site (active vs. inactive), database provider, type of data and subjects of the study are contained for each database record. * Life Science Database Cross Search - A service for simultaneous searching across scattered life-science databases, ranging from molecular data to patents and literature. * Life Science Database Archive - maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata in a unified format, and to access and download the datasets with clear terms of use. * Taxonomy Icon - A collection of icons (illustrations) of biological species that is free to use and distribute. There are more than 200 icons of various species including Bacteria, Fungi, Protista, Plantae and Animalia. * GenLibi (Gene Linker to bibliography) - an integrated database of human, mouse and rat genes that includes automatically integrated gene, protein, polymorphism, pathway, phenotype, ortholog/protein sequence information, and manually curated gene function and gene-related or co-occurred Disease/Phenotype and bibliography information. * Allie - A search service for abbreviations and long forms utilized in life sciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise. * inMeXes - A search service for English expressions (multiple words) that appear no less than 10 times in PubMed/MEDLINE titles or abstracts. In addition, you can easily access the sentences where the expression was used or other related information by clicking one of the search results. * HOWDY - (Human Organized Whole genome Database) is a database system for retrieving human genome information from 14 public databases by using official symbols and aliases. The information is daily updated by extracting data automatically from the genetic databases and shown with all data having the identifiers in common and linking to one another. * MDeR (the MetaData Element Repository in life sciences) - a web-based tool designed to let you search, compare and view Data Elements. MDeR is based on the ISO/IEC 11179 Part3 (Registry metamodel and basic attributes). * Human Genome Variation Database - A database for accumulating all kinds of human genome variations detected by various experimental techniques. * MEDALS - A portal site that provides information about databases, analysis tools, and the relevant projects, that were conducted with the financial support from the Ministry of Economy, Trade and Industry of Japan. | life science, research, database, catalog, tool, gene, service, molecule, patent, literature, taxonomy, image, bacteria, fungus, protist, plant, animal, human, mouse, rat, gene, protein, polymorphism, pathway, phenotype, ortholog, protein sequence, gene function, disease, phenotype, bibliography, english expression, human genome, genome, human genome variation, variation, analysis tool |
has parent organization: Japan Science and Technology Agency is parent organization of: Human Variation DB is parent organization of: Japanese Genotype-phenotype Archive (JGA) is parent organization of: ChIP-Atlas |
Japan Science and Technology Agency | nlx_151485 | SCR_000814 | National Bioscience Database Center, National Bioscience Database Center (NBDC) | 2026-02-16 09:45:21 | 3 | |||||||
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International Gene Trap Consortium Resource Report Resource Website 10+ mentions |
International Gene Trap Consortium (RRID:SCR_002305) | IGTC | material resource, biomaterial supply resource, cell repository | Consortium represents all publicly available gene trap cell lines, which are available on non-collaborative basis for nominal handling fees. Researchers can search and browse IGTC database for cell lines of interest using accession numbers or IDs, keywords, sequence data, tissue expression profiles and biological pathways, can find trapped genes of interest on IGTC website, and order cell lines for generation of mutant mice through blastocyst injection. Consortium members include: BayGenomics (USA), Centre for Modelling Human Disease (Toronto, Canada), Embryonic Stem Cell Database (University of Manitoba, Canada), Exchangeable Gene Trap Clones (Kumamoto University, Japan), German Gene Trap Consortium provider (Germany), Sanger Institute Gene Trap Resource (Cambridge, UK), Soriano Lab Gene Trap Resource (Mount Sinai School of Medicine, New York, USA), Texas Institute for Genomic Medicine - TIGM (USA), TIGEM-IRBM Gene Trap (Naples, Italy). | embryo, embryonic, gene, genome, allele, analysis, assay, bioinformatics, blastocyst, cell, colony, consortium, genotyping, hybridization, in situ, international, knockout, murine, mutant, mutation, probe, qpcr, researcher, scientist, sequence, stem cell, tagging, trap, vector, cell line, embryonic stem cell line, FASEB list |
is listed by: One Mind Biospecimen Bank Listing is related to: Centre for Modeling Human Disease Gene Trap Resource has parent organization: University of California at San Francisco; California; USA is parent organization of: International Gene Trap Consortium Pathways |
NCRR P41 RR01081 | PMID:16381950 | Restricted | nif-0000-00036 | https://igtc.org/ | SCR_002305 | International Gene Trap Consortium | 2026-02-16 09:45:43 | 43 | ||||
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Plant Metabolic Network Resource Report Resource Website 100+ mentions |
Plant Metabolic Network (RRID:SCR_002888) | data or information resource, project portal, portal | Collaborative project to bring together biochemical pathway databases and research communities focused on plant metabolism. Used to build broad network of plant metabolic pathway databases. Central feature of PMN is PlantCyc, comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism. | e. coli, gene, arabidopsis, barley, coffee, database, genome, grass, homolog, maize, medicago, oats, pathway, pepper, plant, potato, rice, rye, sorghum, species, taxonomy, tomato, wheat, ontology | lists: PlantCyc | nif-0000-25602, SCR_003778, nlx_15806 | SCR_002888 | Plant Biochemical Pathway Databases | 2026-02-16 09:45:56 | 149 | |||||||||
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DOE Joint Genome Institute Resource Report Resource Website 500+ mentions |
DOE Joint Genome Institute (RRID:SCR_003045) | DOE JGI, JGI, | data or information resource, organization portal, portal | Institute to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. The facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges. | genomics, sequencing, computational analysis, clean energy, environment, biotechnology, nucleotide sequence, protein, genome, bacteria, microorganism, fungal colony, fungal community, dna, phenotype, molecular biology, life science, genomics, genetics, nature, nurture, ecology, bioenergetics, high-throughput sequencing |
is listed by: re3data.org has parent organization: University of California; California; USA is parent organization of: Microbial Genetics Resource at JGI is parent organization of: JGI Genome Portal is parent organization of: Genomes Online Database is parent organization of: IMG System is parent organization of: Classifier for Metagenomic Sequences is parent organization of: MycoCosm is parent organization of: Plant Genome Resource at JGI is parent organization of: Classifier for Metagenomic Sequences is parent organization of: Phytozome is parent organization of: IMG is parent organization of: Metagenomics Program at JGI is parent organization of: Assembly Likelihood Estimator is parent organization of: 1000 Fungal Genome Project is parent organization of: Bestus Bioinformaticus Tools is parent organization of: Bestus Bioinformaticus Duk is parent organization of: Bestus Bioinformaticus Merge is parent organization of: Reformat |
DOE | Free, Freely available | nif-0000-30425 | SCR_003045 | DOE Joint Genome Institute - Enabling Advances in Bioenergy & Environmental Research, Department of Energy Joint Genome Institute, Joint Genome Institute | 2026-02-16 09:45:57 | 689 | ||||||
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Human Gene Connectome Resource Report Resource Website 1+ mentions |
Human Gene Connectome (RRID:SCR_002628) | HGC | data set, data or information resource, software resource | Data set containing a gene-specific connectome file for each human gene and computer programs for ranking lists of genes within a gene-specific connectome, clustering and plotting the genes by the functional genomic alignment (FGA) approach, and generating gene-specific connectomes. The programs were developed and tested on Mac and Linux systems. The external software required for running these programs is open-source and free of charge. The HGC is the set of all biologically plausible routes, distances, and degrees of separation between all pairs of human genes. A gene-specific connectome contains the set of all available human genes sorted on the basis of their predicted biological proximity to the specific gene of interest. The HGC is a powerful approach for human genotype-phenotype high-throughput studies, for which it can be used to rank any list of genes within a gene-specific connectome for an experimentally validated core gene. Functional genomic alignment (FGA) is equivalent to traditional multiple sequence alignment (MSA), except that it clusters genes in trees on the basis of the functional biological distance between them predicted by HGC, rather than on the basis of molecular evolutionary genetic distance. This method is therefore more suitable for disease and phenotypic studies. | gene, disease, phenotype, genome, connectome, functional genomic alignment |
has parent organization: Rockefeller University; New York; USA is parent organization of: Human Gene Connectome Server |
NCATS 8 UL1 TR000043 | PMID:23509278 | Free | nlx_156050 | SCR_002628 | 2026-02-16 09:45:51 | 5 | ||||||
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National Genome Research Network Resource Report Resource Website 10+ mentions |
National Genome Research Network (RRID:SCR_006626) | NGFN | data or information resource, organization portal, portal | The program of medical genome research is a large-scale biomedical research project which extends the national genome research net (NGFN) and will be funded by the federal ministry of education and research (BMBF) from 2008-2013. Currently the program includes two fields: * Research ** NGFN-Plus: With the aim on combating diseases that are central to health policy, several hundred researchers are systematically investigating the complex molecular interactions of the human body. They are organized in 26 Integrated Genome Research Networks. * Application ** NGFN-Transfer: The rapid transfer of results from medical genome research into medical and industrial application is the aim of the scientists from research institutes and biomedical enterprises that cooperate in eight Innovation Alliances. AREAS OF DISEASE * Cardiovascular disease * Cancer * Neuronal diseases * Infections and Inflammations * Environmental factors | genome, research, gene, disease | Cardiovascular disease, Cancer, Neuronal disease, Infectious disease, Inflammation, Disease linked to environment | BMBF | nlx_151595 | SCR_006626 | NGFN - National Genome Research Network, German National Genome Research Network | 2026-02-16 09:46:46 | 26 | |||||||
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WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation Resource Report Resource Website 10+ mentions |
WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation (RRID:SCR_005321) | WebApollo | production service resource, service resource, source code, software resource | WebApollo is an extensible web-based sequence annotation editor for community annotation. No software download is required and the annotations are saved to a centralized database with real-time annotation updating. (The edit server mediates annotation changes made by multiple users.) The Web based client uses JBrowse, is fast and highly interactive. WebApollo accesses many types of genomic data including access to public data from UCSC, Ensembl, and GMOD Chado databases. Source code (BSD License) * Client source code: https://github.com/berkeleybop/jbrowse * Annotation editing engine: http://code.google.com/p/apollo-web * Data model and I/O layer: http://code.google.com/p/gbol * Trellis server code: http://code.google.com/p/genomancer | sequence, annotation, genome |
has parent organization: Lawrence Berkeley National Laboratory has parent organization: University of California at Berkeley; Berkeley; USA has parent organization: Georgetown University; Washington D.C.; USA |
nlx_144381 | SCR_005321 | WebApollo - A Web-Based Sequence Annotation Editor for Community Annotation | 2026-02-16 09:46:39 | 13 | ||||||||
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University of Delaware Skate Genome Project Resource Report Resource Website 1+ mentions |
University of Delaware Skate Genome Project (RRID:SCR_005300) | Skate Genome Project | service resource, core facility, access service resource | Core facility provides a model for collaborative approaches to use specialized resources and expertise in an integrated process. Core builds on the expertise and resources provided by the Bioinformatics Cores of the five northeastern states that form NECC. The Skate Genome Annotation Workshops and Jamborees offer training and opportunities for faculty and students to work with and annotate genome sequences. Workshops include lectures, tutorials and exercises annotating the genome of the little skate, Leucoraja erinacea. | skate, genome, genomics, bioinformatics, sequencing, annotate, sequence, workshop |
has parent organization: North East Cyberinfrastructure Consortium has parent organization: University of Delaware; Delaware; USA is parent organization of: SkateBase |
Available to external user | nlx_144349 | SCR_005300 | , University of Delaware, Genome Project, Skate | 2026-02-16 09:46:27 | 1 | |||||||
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1000 Genomes Project and AWS Resource Report Resource Website 5000+ mentions |
1000 Genomes Project and AWS (RRID:SCR_008801) | 1000 Genomes Project and AWS | data set, data or information resource | A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow. | genomic data, genome, cloud computing, cloud, human, gene, genetic variation, research, dna |
is used by: HmtVar has parent organization: Amazon Web Services |
nlx_144340 | SCR_008801 | 1000 Genomes Project and Amazon Web Services, 000 Genomes Project Amazon Web Services, 1000 Genomes Project AWS | 2026-02-16 09:47:16 | 7075 | ||||||||
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Fungi Sequencing Projects Resource Report Resource Website 1+ mentions |
Fungi Sequencing Projects (RRID:SCR_008524) | data set, data or information resource | Fungal genomes available from the Sanger Institute. Data are accessible in a number of ways; for each organism there is a BLAST server, allowing search of the sequences. Sequences can also be down-loaded directly by FTP. In addition, for those organisms being sequenced using a cosmid approach, finished and annotated cosmids are submitted to EMBL and other public databases. | genome, genomics, sequence, fungus, blast, data analysis service | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | nif-0000-30593 | SCR_008524 | Fungi Sequencing | 2026-02-16 09:47:12 | 6 | |||||||||
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Montana State University Bioinformatics Core Facility Resource Report Resource Website |
Montana State University Bioinformatics Core Facility (RRID:SCR_009937) | service resource, access service resource, core facility | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core for Microarray analysis, Database development, Systems biology analysis, Genome assembly, Pathway data analysis, Expression data analysis, Metagenomics analysis. To maintain equipment and software for bioinformatic research, promote bioinformatics education on the MSU campus, and provide training and support to biologists implementing bioinformatics tools in their research. | nucleic, acid, microarray, assay, database, development, analysis, genome, assembly, pathway, data, gene, expression, metagenomics |
is listed by: Eagle I has parent organization: Montana State University |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156405 | http://cores.montana.edu/bioinformatics/ | SCR_009937 | , Montana State University, core facility, MSU, Bioinformatics Core Laboratory | 2026-02-16 09:47:34 | 0 | |||||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | software application, data processing software, data visualization software, database, software resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | STACKdb | 2026-02-16 09:45:41 | 0 | ||||||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | database, data or information resource, topical portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | UKSGMP | 2026-02-16 09:45:41 | 1 | |||||||||
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GRS Resource Report Resource Website 1+ mentions |
GRS (RRID:SCR_001008) | software application, data processing software, data analysis software, data management software, software resource | A compression tool for efficient storage of Genome Re-Sequencing data. GRS processes genome sequence data without use of reference SNPs and other variants. It can also automatically rebuild the individual genome sequence data using the reference genome sequence. | data analysis software, data management software, compression tool, data compression, storage, genome, resequencing | is listed by: OMICtools | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00960 | SCR_001008 | 2026-02-16 09:45:23 | 2 | |||||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | controlled vocabulary, data analysis service, analysis service resource, ontology, data repository, database, storage service resource, production service resource, service resource, data or information resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase https://doi.org/10.17616/R3S032 |
SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-02-16 09:46:25 | 646 | ||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | bioinformatics resource center, data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home https://doi.org/10.17616/R3WS3X |
http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-02-16 09:46:17 | 1083 | |||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-02-16 09:46:28 | 37 | ||||||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | data analysis service, analysis service resource, data repository, database, storage service resource, production service resource, service resource, data or information resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA R01 AA18776 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/ https://doi.org/10.17616/R3248T |
SCR_003009 | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-02-16 09:45:56 | 34 | |||||
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VMD Resource Report Resource Website 1+ mentions |
VMD (RRID:SCR_004905) | PAMGO_VMD, VMD | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Database covering a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at Virginia Bioinformatics Institute. The data comes from different sources and has genomes of 3 oomycetes pathogens: Phytophthora sojae, Phytophthora ramorum and Hyaloperonospora arabidopsidis. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. Two different statistical methods were used to validate these gene models, Fickett''''s and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum could be assigned. An easy-to-use genome browser was created to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. | microbial genome sequence, genome, genome sequence, genome model, gene, image, oomycete, fungus, bacteria, phytophthora sojae, phytophthora ramorum, hyaloperonospora arabidopsidis, plant |
is used by: NIF Data Federation is related to: AmiGO has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
USDA Cooperative State Research Education and Extension Service 2002-35600-12747; USDA Cooperative State Research Education and Extension Service 2004-35600-15055; NSF MCB-0242131; NSF EF-0412213; NSF DBI-0211863 |
PMID:16381891 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_87328 | http://phytophthora.vbi.vt.edu | SCR_004905 | VBI Microbial Database, Virginia Bioinformatics Institute Microbial Database | 2026-02-16 09:46:32 | 8 |
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