Searching the RRID Resource Information Network
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Flannotator Resource Report Resource Website 10+ mentions |
Flannotator (RRID:SCR_001608) | Flannotator | data or information resource, database | Allows annotation of gene expression at all stages of development and tissue types (including sub cellular location) using standard Drosophila anatomy ontology. All methods of input use a controlled vocabulary to ensure data integrity. | annotation, gene expression, development stage, tissue type, subcellular, stock, gene, protein interaction, embryo |
is related to: Drosophila anatomy and development ontologies has parent organization: University of Cambridge; Cambridge; United Kingdom |
Free, Freely available | nlx_153872 | SCR_001608 | 2026-02-14 02:05:45 | 13 | ||||||||
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Collecting Duct Database Resource Report Resource Website |
Collecting Duct Database (RRID:SCR_000759) | CDDB | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This database is intended to serve as a learning tool to obtain curated information for the design of microarray targets to scan collecting duct tissues (human, rat, mouse). The database focuses on regulatory and transporter proteins expressed in the collecting duct, but when collecting duct proteins are a member of a larger family of proteins, common additional members of the family are included even if they have not been demonstrated to be expressed in the collecting duct. An Internet-accessible database has been devised for major collecting duct proteins involved in transport and regulation of cellular processes. The individual proteins included in this database are those culled from literature searches and from previously published studies involving cDNA arrays and serial analysis of gene expression (SAGE). Design of microarray targets for the study of kidney collecting duct tissues is facilitated by the database, which includes links to curated base pair and amino acid sequence data, relevant literature, and related databases. Use of the database is illustrated by a search for water channel proteins, aquaporins, and by a subsequent search for vasopressin receptors. Links are shown to the literature and to sequence data for human, rat, and mouse, as well as to relevant web-based resources. Extension of the database is dynamic and is done through a maintenance interface. This permits creation of new categories, updating of existing entries, and addition of new ones. CDDB is a database that organizes lists of genes found in collecting duct tissues from three mammalian species: human, rat, and mouse. Proteins are divided into categories by family relationships and functional classification, and each category is assigned a section in the database. Each section includes links to the literature and to sequence information for genes, proteins, expressed sequence tags, and related information. The user can peruse a section or use a search engine at the bottom of the web page to search the database for a name or abbreviation or for a link to a sequence. Each entry in the database includes links to relevant papers in the kidney and collecting duct literature. It uses links to PubMed to generate MEDLINE searches for retrieval of references. In addition, each entry includes links to curated sequence data available in LocusLink. Individual links are made to sequence and protein data for human, rat, and mouse. Links are then added as curated sequences become available for proteins identified in the renal collecting duct and for proteins identified in kidney and similar in function or homologous to proteins identified in the collecting duct. | expressed sequence tag, expression, family, functional, gene, aquaporin, array, cdna, classification, collecting duct, homologous, human, kidney, literature, mammal, mammalian, microarray, mouse, protein, protein localization and targeting databases, rat, receptor, regulatory, relationship, scan, serial analysis, specie, target, tissue, transporter, vasopressin, water channel protein | has parent organization: National Institutes of Health | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21078 | SCR_000759 | Collecting Duct Database | 2026-02-14 02:06:02 | 0 | |||||||
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MirSNP Resource Report Resource Website 50+ mentions |
MirSNP (RRID:SCR_001629) | MirSNP | data or information resource, database | Database of human SNPs in predicted miRNA-mRNA binding sites, based on information from dbSNP135 and mirBASE18. MirSNP is highly sensitive and covers most experiments confirmed SNPs that affect miRNA function. MirSNP may be combined with researchers' own GWAS or eQTL positive data sets to identify the putative miRNA-related SNPs from traits/diseases associated variants. They aim to update the MirSNP database as new versions of mirBASE and dbSNP database become available. | single nucleotide polymorphism, mirna, genome-wide association study, expression quantitative trait locus, mirna-mrna binding site, trait, disease, variant, gene, mrna, FASEB list | has parent organization: Peking University; Beijing; China | National Natural Science Foundation of China 81071087; National Natural Science Foundation of China 81071088; International Science and Technology Cooperation Program of China 2010DFB30820; National High Technology Research and Development Program of China 2009AA022702 |
PMID:23173617 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153896 | http://202.38.126.151/hmdd/mirsnp/search/ | SCR_001629 | 2026-02-14 02:06:02 | 73 | |||||
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Human Gene Mutation Database Resource Report Resource Website 1000+ mentions |
Human Gene Mutation Database (RRID:SCR_001621) | HGMD | data or information resource, database | Curated database of known (published) gene lesions responsible for human inherited disease. | gene, disease, gene lesion, mutation, deletion, insertion, duplication, rearrangement, nuclear gene, functional polymorphism, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: BIOBASE Corporation has parent organization: Cardiff University; Wales; United Kingdom |
Inherited disease | PMID:22948725 PMID:20368137 PMID:20038494 PMID:19348700 PMID:18428754 PMID:18245393 PMID:12754702 PMID:10612821 PMID:9399854 PMID:9066272 PMID:8882888 |
Free, Freely available | nlx_153887, SCR_001888, biotools:hgmd, nif-0000-10459, OMICS_00281 | http://www.hgmd.cf.ac.uk/ac/index.php https://bio.tools/hgmd |
SCR_001621 | The Human Gene Mutation Database, The Human Gene Mutation Database at the Institute of Medical Genetics in Cardiff | 2026-02-14 02:06:05 | 2462 | ||||
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GTEx eQTL Browser Resource Report Resource Website 100+ mentions |
GTEx eQTL Browser (RRID:SCR_001618) | data or information resource, database | Database and browser that provides a central resource to archive and display association between genetic variation and high-throughput molecular-level phenotypes. This effort originated with the NIH GTEx roadmap project: however the scope of this resource will be extended to include any available genotype/molecular phenotype datasets. | genetic variation, high-throughput, phenotype, genotype, molecular, molecule, gene, gene expression, snp, trait, expression, quantitative trait locus, expression quantitative trait locus, genome, probe, sequence, statistics, p-value, rna-seq, array, lymphoblastoid, liver, cerebellum, frontal cortex, temporal cortex, pons, gene regulation, tissue, mrna, data set | has parent organization: NCBI | NIH Common Fund 268201000029C-4-0-2 | Free, Freely available | nlx_153884 | http://www.gtexportal.org/home/ | SCR_001618 | NCBI GTEx eQTL Browser, Genotype-Tissue Expression eQTL Browser, GTEx (Genotype-Tissue Expression) eQTL Browser, NCBI GTeX eQTL Browser | 2026-02-14 02:06:02 | 111 | ||||||
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MAboya Gene Expression Patterns and Sequence Tags Resource Report Resource Website 1+ mentions |
MAboya Gene Expression Patterns and Sequence Tags (RRID:SCR_000763) | MAGEST | data or information resource, database | A database for maternal gene expression information for ascidia, colloquially known as sea squirts. Information available includes DNA sequences, expression patterns of ESTs, and cDNA data from uncleaved fertilized eggs. The goal is to utilize the database to understand molecular mechanisms of establishment of embryonic body plans of chordates and to understand evolution from invertebrates to vertebrates in the future. | ascidia, sea squirt, development, maternal, dna, rna, genetic, chordate, vertebrae, gene, expression | has parent organization: University of Tokyo; Tokyo; Japan | Ministry of Education Science Sports and Culture Japan 1016821; Ministry of Education Science Sports and Culture Japan 11149212; Research for the Future Program from the Japan Society for the promotion of Science 96L00404 |
PMID:11752271 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21247 | http://www.genome.ad.jp/magest | SCR_000763 | MAboya Gene Expression Patterns and Sequence Tags (MAGEST) | 2026-02-14 02:06:00 | 7 | ||||
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Neurospora crassa Database Resource Report Resource Website 1+ mentions |
Neurospora crassa Database (RRID:SCR_001372) | NCD | data or information resource, database | It's strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. This method is standard for microbial genome sequencing, and has been successfully applied to Drosophila. Neurospora is an ideal candidate for this approach because of the low repeat content of the genome. Neurospora crassa Database has expanded the scope of its database by including a mitochondrial annotation, incorporating information from the Neurospora compendium, and assigning NCU numbers to tRNA and rRNAs. They have improved the annotation process to predict untranslated regions and to reduce the number of spurious predictions. As a result, version 3 contains 9,826 genes, 794 fewer than version 2. During the initial phase of a WGS project they sequence both ends of the 4 kb inserts from a plasmid library prepared using randomly sheared and sized-selected DNA. The shotgun reads are assembled by recognizing overlapping regions of sequence and making use of the knowledge of the orientation and distance of the paired reads from each plasmid. Obtaining deep sequence coverage though high levels of sequence redundancy assures that the majority of the genome is represented in the initial assembly and that the consensus sequence is of high quality. Their approach toward the initial assembly was conservative, meaning they would rather fail to join sequence contigs that might overlap each other than risk making false joins between two closely related but non-overlapping genomic regions. Hence, the initial assembly contains many sequence contigs and over time these contigs will increase in size and decrease in number as they are joined together. After shotgun sequencing and assembly there was a second phase of sequencing in which additional sequence was obtained from specific regions that were missing from the original assembly or are recognized to be of low quality in the consensus. The Neurospora crassa sequencing project reflects a close collaboration between the Broad Institute and the Neurospora research community. Principal investigators include Bruce Birren and Chad Nusbaum from the Broad Institute, Matt Sachs at the Oregon Graduate Institute of Science and Technology, Chuck Staben at the University of Kentucky and Jak Kinsey at the Fungal Genetics Stock Center at the University of Kansas Medical Center. In addition, we have a larger Advisory Board made up of a number of Neurospora researchers. Sponsors: They have been funded by the National Science Foundation to sequence the N. crassa genome and make the information publicly available. | gene, annotation, compendium, contig, distance, drosophila, genome, mitochondrial, neurospora crassa, plasmid, region, rrna, sequence, trna, untranslated | Free, Freely available, | nif-0000-20965 | http://www.broadinstitute.org/annotation/genome/neurospora/Home.html | SCR_001372 | Neurospora crassa Database | 2026-02-14 02:06:01 | 4 | |||||||
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BloodExpress Resource Report Resource Website 1+ mentions |
BloodExpress (RRID:SCR_001142) | data or information resource, database | A database of gene expression in mouse haematopoiesis, integrating 271 individual microarray experiments derived from 15 distinct studies done on most characterized mouse blood cell types. Gene expression information has been discretized to absent/present/unknown calls. It supports gene-centric searches to find out where a gene of interest is expressed, and what other genes follow the same (or a similar) pattern of expression. It also supports cell-centric searches to find out what genes are expressed in specific cell types/studies and not others. | blood, hematopoiesis, microarray, red blood cell, gene expression, expression profile, gene, cell, haematopoietic stem cell |
uses: StemBase uses: Gene Expression Omnibus has parent organization: University of Cambridge; Cambridge; United Kingdom |
Leukemia Research Foundation ; Leukemia and Lymphoma Society ; MRC |
PMID:18987008 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02615 | SCR_001142 | Blood Express | 2026-02-14 02:06:01 | 1 | ||||||
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AtProbe Resource Report Resource Website |
AtProbe (RRID:SCR_005412) | AtProbe | data or information resource, database | Arabidopsis thaliana promoter binding element database that focuses on specific binding elements on known genes, found with experimental methods. | gene, binding element |
is listed by: OMICtools has parent organization: Cold Spring Harbor Laboratory |
Free | OMICS_00550 | SCR_005412 | AtProbe: Arabidopsis thaliana Promoter Binding Element Database, Arabidopsis thaliana Promoter Binding Element Database | 2026-02-14 02:06:27 | 0 | |||||||
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Phenologs Resource Report Resource Website 1+ mentions |
Phenologs (RRID:SCR_005529) | Phenologs | data or information resource, database | Database for identifying orthologous phenotypes (phenologs). Mapping between genotype and phenotype is often non-obvious, complicating prediction of genes underlying specific phenotypes. This problem can be addressed through comparative analyses of phenotypes. We define phenologs based upon overlapping sets of orthologous genes associated with each phenotype. Comparisons of >189,000 human, mouse, yeast, and worm gene-phenotype associations reveal many significant phenologs, including novel non-obvious human disease models. For example, phenologs suggest a yeast model for mammalian angiogenesis defects and an invertebrate model for vertebrate neural tube birth defects. Phenologs thus create a rich framework for comparing mutational phenotypes, identify adaptive reuse of gene systems, and suggest new disease genes. To search for phenologs, go to the basic search page and enter a list of genes in the box provided, using Entrez gene identifiers for mouse/human genes, locus ids for yeast (e.g., YHR200W), or sequence names for worm (e.g., B0205.3). It is expected that this list of genes will all be associated with a particular system, trait, mutational phenotype, or disease. The search will return all identified model organism/human mutational phenotypes that show any overlap with the input set of the genes, ranked according to their hypergeometric probability scores. Clicking on a particular phenolog will result in a list of genes associated with the phenotype, from which potential new candidate genes can identified. Currently known phenotypes in the database are available from the link labeled ''Find phenotypes'', where the associated gene can be submitted as queries, or alternately, can be searched directly from the link provided. | gene, phenotype, ortholog, genotype, human, mouse, yeast, worm | has parent organization: University of Texas at Austin; Texas; USA | Texas Advanced Research Program ; Welch Foundation ; Packard Fellowship ; March of Dimes ; Texas Institute for Drug and Diagnostic Development ; NSF ; NIH ; NIGMS |
PMID:20308572 | nlx_144624 | SCR_005529 | phenologs.org, Phenologs - Systematic discovery of non-obvious disease models and candidate genes | 2026-02-14 02:06:24 | 4 | ||||||
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International Knockout Mouse Consortium Resource Report Resource Website 50+ mentions |
International Knockout Mouse Consortium (RRID:SCR_005574) | IKMC | data or information resource, database | Database of the international consortium working together to mutate all protein-coding genes in the mouse using a combination of gene trapping and gene targeting in C57BL/6 mouse embryonic stem (ES) cells. Detailed information on targeted genes is available. The IKMC includes the following programs: * Knockout Mouse Project (KOMP) (USA) ** CSD, a collaborative team at the Children''''s Hospital Oakland Research Institute (CHORI), the Wellcome Trust Sanger Institute and the University of California at Davis School of Veterinary Medicine , led by Pieter deJong, Ph.D., CHORI, along with K. C. Kent Lloyd, D.V.M., Ph.D., UC Davis; and Allan Bradley, Ph.D. FRS, and William Skarnes, Ph.D., at the Wellcome Trust Sanger Institute. ** Regeneron, a team at the VelociGene division of Regeneron Pharmaceuticals, Inc., led by David Valenzuela, Ph.D. and George D. Yancopoulos, M.D., Ph.D. * European Conditional Mouse Mutagenesis Program (EUCOMM) (Europe) * North American Conditional Mouse Mutagenesis Project (NorCOMM) (Canada) * Texas A&M Institute for Genomic Medicine (TIGM) (USA) Products (vectors, mice, ES cell lines) may be ordered from the above programs. | gene, knock out mouse, chromosome, allele, c57bl/6, embryonic stem cell, vector, mutant, es cell, genome, targeting, gene list, FASEB list |
is related to: Texas A and M Institute for Genomic Medicine is related to: European Mouse Mutant Archive is related to: CMMR - Canadian Mouse Mutant Repository is parent organization of: EUCOMMTOOLS is parent organization of: North American Conditional Mouse Mutagenesis Project is parent organization of: European Conditional Mouse Mutagenesis Program is parent organization of: Knockout Mouse Project |
European Union ; NHGRI HG004074 |
PMID:22968824 PMID:21677750 |
nlx_146200 | SCR_005574 | 2026-02-14 02:06:28 | 68 | |||||||
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TranspoGene Resource Report Resource Website 1+ mentions |
TranspoGene (RRID:SCR_005634) | data or information resource, database | A publicly available database of Transposed elements (TEs) which are located within protein-coding genes of 7 organisms: human, mouse, chicken, zebrafish, fruilt fly, nematode and sea squirt. Using TranspoGene the user can learn about the many aspects of the effect these TEs have on their hosting genes, such as: exonization events (including alternative splicing-related data), insertion of TEs into introns, exons, and promoters, specific location of the TE over the gene, evolutionary divergence of the TE from its consensus sequence and involvement in diseases. TranspoGene database is quickly searchable through its website, enables many kinds of searches and is available for download. TranspoGene contains information regarding specific type and family of the TEs, genomic and mRNA location, sequence, supporting transcript accession and alignment to the TE consensus sequence. The database also contains host gene specific data: gene name, genomic location, Swiss-Prot and RefSeq accessions, diseases associated with the gene and splicing pattern. The TranspoGene and microTranspoGene databases can be used by researchers interested in the effect of TE insertion on the eukaryotic transcriptome. | element, eukaryotic, evolutionary, exon, exonization, family, fruit fly, gene, genome, alternative, chicken, coding, disease, divergence, genomic, hosting, human, human genome databases, intron, location, map, maps, mouse, mrna, nematode, organism, pattern, promoter, protein, sea squirt, sequence, splicing, transcript, transcriptome, transposed, viewers, worm, zebrafish | has parent organization: Tel Aviv University; Ramat Aviv; Israel | nif-0000-03579 | SCR_005634 | TranspoGene | 2026-02-14 02:06:29 | 9 | |||||||||
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TRANSFAC Resource Report Resource Website 100+ mentions |
TRANSFAC (RRID:SCR_005620) | TRANSFAC | data or information resource, database | Manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA binding profiles. Used to predict potential transcription factor binding sites. | Curated, eucaryotic, transcription, factor, genomic, binding, site, sequence, regulated, gene, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: Gene Regulation Databases is related to: TRANSPATH is related to: Babelomics is related to: GeneTrail works with: rVista |
European Commission ; German Ministry of Education and Research |
PMID:12520026 | Free, Freely available | biotools:transfac, nif-0000-03576 | http://www.biobase-international.com/pages/index.php?id=transfac http://gene-regulation.com/pub/databases.html https://bio.tools/transfac |
SCR_005620 | 2026-02-14 02:05:57 | 261 | |||||
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Literature-derived human gene-disease network Resource Report Resource Website 1+ mentions |
Literature-derived human gene-disease network (RRID:SCR_005653) | LHGDN | data or information resource, database | A text mining derived database with focus on extracting and classifying gene-disease associations with respect to several biomolecular conditions. It uses a machine learning based algorithm to extract semantic gene-disease relations from a textual source of interest. The semantic gene-disease relations were extracted with F-measures of 78. More specifically, the textual source utilized here originates from Entrez Gene''''s GeneRIF (Gene Reference Into Function) database (Mitchell, et al., 2003). LHGDN was created based on a GeneRIF version from March 31st, 2009, consisting of 414241 phrases. These phrases were further restricted to the organism Homo sapiens, which resulted in a total of 178004 phrases. We benchmark our approach on two different tasks. The first task is the identification of semantic relations between diseases and treatments. The available data set consists of manually annotated PubMed abstracts. The second task is the identification of relations between genes and diseases from a set of concise phrases, so-called GeneRIF (Gene Reference Into Function) phrases. In our experimental setting, we do not assume that the entities are given, as is often the case in previous relation extraction work. Rather the extraction of the entities is solved as a subproblem. Compared with other state-of-the-art approaches, we achieve very competitive results on both data sets. To demonstrate the scalability of our solution, we apply our approach to the complete human GeneRIF database. The resulting gene-disease network contains 34758 semantic associations between 4939 genes and 1745 diseases. The gene-disease network is publicly available as a machine-readable RDF graph. We extend the framework of Conditional Random Fields towards the annotation of semantic relations from text and apply it to the biomedical domain. Our approach is based on a rich set of textual features and achieves a performance that is competitive to leading approaches. The model is quite general and can be extended to handle arbitrary biological entities and relation types. The resulting gene-disease network shows that the GeneRIF database provides a rich knowledge source for text mining. | gene, disease, gene-disease association, text-mining, conditional random field, entity recognition |
is used by: DisGeNET is related to: linked life data - a semantic data integration platform for the biomedical domain has parent organization: Ludwig-Maximilians-University; Munich; Germany |
German Federal Ministry of Economics and Technology ; THESEuropean UnionS project |
PMID:18433469 | Available under Creative Commons Attribution v3 Unported; please cite. | nlx_151713 | SCR_005653 | 2026-02-14 02:05:57 | 1 | ||||||
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BiGG Database Resource Report Resource Website 100+ mentions |
BiGG Database (RRID:SCR_005809) | BiGG | data or information resource, database | A knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest. | biochemical, genetics, genomics, genome, metabolic network, reconstruction, model, metabolic pathway, gene, protein, reaction, metabolite, metabolic reconstruction, compound, pathway, FASEB list |
uses: SBML is used by: BiGGR is listed by: 3DVC has parent organization: University of California at San Diego; California; USA |
NIH ; Ruth L. Kirschstein National Research Service Award - NIH Bioinformatics Training ; University of California at San Diego; California; USA ; Calit2 summer research scholarship ; NIGMS GM00806-06 |
PMID:20426874 | nlx_149299, r3d100011567 | https://doi.org/10.17616/R3MG9M | SCR_005809 | BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions, BiGG - a Biochemical Genetic and Genomic knowledgebase | 2026-02-14 02:05:58 | 124 | |||||
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IGDB.NSCLC Resource Report Resource Website 1+ mentions |
IGDB.NSCLC (RRID:SCR_006048) | IGDB.NSCLC | data or information resource, database | IGDB.NSCLC database is aiming to facilitate and prioritize identified lung cancer genes and microRNAs for pathological and mechanistic studies of lung tumorigenesis and for developing new strategies for clinical interventions. We integrated and curated various lung cancer genomic datasets to present # lung cancer genes with somatic mutations, experimental supports and statistic significance in association with clinicopathological features; # genomic alterations with copy number alterations (CNA) detected by high density SNP arrays, gain or loss regions detected by arrayed comparative genome hybridization (aCGH), and loss of heterozygosity (LOH) detected by microsatellite markers; # aberrant expression of genes and microRNAs detected by various microarrays. IGDB.NSCLC database provides user friendly interfaces and searching functions to display multiple layers of evidence for detecting lung cancer target genes and microRNAs, especially emphasizing on concordant alterations: # genes with altered expression located in the CNA regions; # microRNAs with altered expression located in the CNA regions; # somatic mutation genes located in the CNA regions; and # genes associated with clinicopathological features located in the CNA regions. These concordant altered genes and miRNAs should be prioritized for further basic and clinical studies. | genomic database, non-small cell lung cancer, lung, pulmonary, cancer, genome, lung adenocarcinoma, squamous cell carcinoma, genomic alteration, lung tumorigenesis, copy number alteration, heterozygosity, gene, microrna, somatic mutation, clinical information, alteration, gene expression, microrna expression, somatic mutation, chromosome, lung cancer gene, aberrant expression, microarray, clinicopathology | has parent organization: Academia Sinica; Taipei; Taiwan | Non-small cell lung cancer, Lung cancer, Adenocarcinoma, Squamous Cell Carcinoma | National Research Program for Genomic Medicine NSC98-3112-B-001-004; National Research Program for Genomic Medicine NSC98-3112-B-001-031; National Science Council Taiwan NSC100-2325-B-001-012 |
PMID:22139933 | nlx_151446 | SCR_006048 | Integrated Genomic Database of Non-Small Cell Lung Cancer | 2026-02-14 02:06:32 | 5 | |||||
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Mouse Genome Informatics (MGI) Resource Report Resource Website 1000+ mentions |
Mouse Genome Informatics (MGI) (RRID:SCR_006460) | MGI | data or information resource, database | International database for laboratory mouse. Data offered by The Jackson Laboratory includes information on integrated genetic, genomic, and biological data. MGI creates and maintains integrated representation of mouse genetic, genomic, expression, and phenotype data and develops reference data set and consensus data views, synthesizes comparative genomic data between mouse and other mammals, maintains set of links and collaborations with other bioinformatics resources, develops and supports analysis and data submission tools, and provides technical support for database users. Projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, and MouseCyc Project at MGI. | RIN, Resource Information Network, molecular neuroanatomy resource, human health, human disease, animal model, gene expression, phenotype, genotype, gene, pathway, orthology, tumor, strain, single nucleotide polymorphism, recombinase, function, blast, image, pathology, model, data analysis service, genome, genetics, gold standard, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is used by: Cytokine Registry is used by: NIH Heal Project is recommended by: Resource Identification Portal is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is listed by: NIH Data Sharing Repositories is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: MONARCH Initiative is related to: MouseCyc is related to: AmiGO is related to: Gene Expression Database is related to: Bgee: dataBase for Gene Expression Evolution is related to: HomoloGene is related to: Rat Gene Symbol Tracker is related to: Enhancer Trap Line Browser is related to: Integrated Brain Gene Expression is related to: MalaCards is related to: Gene Ontology is related to: BioMart Project is related to: NIH Data Sharing Repositories is related to: RIKEN integrated database of mammals is related to: JAX Neuroscience Mutagenesis Facility is related to: PhenoGO is related to: International Mouse Strain Resource is related to: Mouse Genome Database is related to: Mouse Tumor Biology Database has parent organization: Jackson Laboratory is parent organization of: Anatomy of the Laboratory Mouse is parent organization of: Mouse Genome Informatics Transgenes is parent organization of: Federation of International Mouse Resources is parent organization of: MGI GO Browser is parent organization of: Recombinase (cre) Activity is parent organization of: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project is parent organization of: Deltagen and Lexicon Knockout Mice and Phenotypic Data Resource is parent organization of: MGI strains is parent organization of: MPO is parent organization of: Phenotypes and Mutant Alleles is parent organization of: Human Mouse Disease Connection is parent organization of: Functional Annotation is parent organization of: Strains, SNPs and Polymorphisms is parent organization of: Vertebrate Homology is parent organization of: Batch Data and Analysis Tool is parent organization of: Nomenclature |
NHGRI HG000330; NHGRI HG002273; NICHD HD033745; NCI CA089713 |
PMID:19274630 PMID:18428715 |
Free, Freely available | nif-0000-00096, OMICS_01656, r3d100010266 | http://www.informatics.jax.org/batch http://www.informatics.jax.org/submit.shtml http://www.informatics.jax.org/expression.shtml https://doi.org/10.17616/R35P54 |
SCR_006460 | , MGI, Mouse Genome Informatics | 2026-02-14 02:05:55 | 1119 | ||||
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DisGeNET Resource Report Resource Website 1000+ mentions |
DisGeNET (RRID:SCR_006178) | DisGeNET | data or information resource, database | Database and discovery platform containing publicly available collections of genes and variants associated to human diseases. Integrates data from curated repositories, GWAS catalogues, animal models and scientific literature. | gene, disease, gene-disease association, gene-disease ontology, gene-disease text mining, text mining, genotype-phenotype, rdf, genotype, phenotype, gene-disease, variant-disease, FASEB list |
uses: Comparative Toxicogenomics Database (CTD) uses: Genetic Association Database uses: UniProt uses: Mouse Genome Database uses: Reactome uses: Unified Medical Language System uses: Entrez Gene uses: MEDLINE uses: National Center for Biomedical Ontology uses: National Cancer Institute Thesaurus uses: Human Phenotype Ontology uses: Semanticscience Integrated Ontology uses: Cytoscape uses: Literature-derived human gene-disease network uses: Rat Genome Database (RGD) uses: National Library of Medicine uses: PsyGeNET is used by: HmtPhenome is listed by: 3DVC is affiliated with: Gene-Disease Association Type Ontology has parent organization: Pompeu Fabra University; Barcelona; Spain |
EFPIA ; Instituto de Salud Carlos III-Fondo Europeo de Desarrollo Regional ; Elixir-Excelerate ; Innovative Medicines Initiative Joint Undertaking ; European Union Seventh Framework Programme ; European Union Horizon 2020 |
PMID:27924018 PMID:25877637 PMID:21695124 PMID:20861032 |
Restricted | nlx_151710, r3d100013301 | https://doi.org/10.17616/R31NJMR9 | SCR_006178 | database of gene disease associations | 2026-02-14 02:06:33 | 2210 | ||||
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SNPedia Resource Report Resource Website 50+ mentions |
SNPedia (RRID:SCR_006125) | SNPedia | data or information resource, database | Wiki investigating human genetics including information about the effects of variations in DNA, citing peer-reviewed scientific publications. It is used by Promethease to analyze and help explain your DNA. It is based on a wiki model in order to foster communication about genetic variation and to allow interested community members to help it evolve to become ever more relevant. As the cost of genotyping (and especially of fully determining your own genomic sequence) continues to drop, we''''ll all want to know more - a lot more - about the meaning of these DNA variations and SNPedia will be here to help. SNPedia has been launched to help realize the potential of the Human Genome Project to connect to our daily lives and well-being. For more information see the Wikipedia page, http://en.wikipedia.org/wiki/SNPedia * Download URL: http://www.SNPedia.com/index.php/Bulk * Web Service URL: http://bots.SNPedia.com/api.php | dna, genetics, gene, genome, genoset, genotype, medicine, medical condition, genetic variation, dna, genetic variation, genomics, single nucleotide polymorphism, medical association, phenotypic association, genealogical association, variation, genome annotation, phenotype, web service, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:22140107 | Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | biotools:snpedia, grid.465250.0, nlx_151604 | https://ror.org/0253rdk33 https://bio.tools/snpedia |
SCR_006125 | 2026-02-14 02:05:59 | 62 | ||||||
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ProPortal Resource Report Resource Website 1+ mentions |
ProPortal (RRID:SCR_006112) | ProPortal | data or information resource, database | ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. Our goal is to provide a source of cross-referenced data across multiple scales of biological organization--from the genome to the ecosystem--embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phage that infect them. The site currently contains the genomes of 13 Prochlorococcus strains, 11 Synechococcus strains and 28 cyanophage strains that infect one or both groups. Cyanobacterial and cyanophage genes are clustered into orthologous groups that can be accessed by keyword search or through a genome browser. Users can also identify orthologous gene clusters shared by cyanobacterial and cyanophage genomes. Gene expression data for Prochlorococcus ecotypes MED4 and MIT9313 allow users to identify genes that are up or downregulated in response to environmental stressors. In addition, the transcriptome in synchronized cells grown on a 24-h light-dark cycle reveals the choreography of gene expression in cells in a ''natural'' state. Metagenomic sequences from the Global Ocean Survey from Prochlorococcus, Synechococcus and phage genomes are archived so users can examine the differences between populations from diverse habitats. Finally, an example of cyanobacterial population data from the field is included. | genomic, metagenomic, transcriptomic, field data, marine cyanobacterium, genome, ecosystem, ecotypic variation, microbial taxon, phage, genome, gene, orthologous gene cluster, cyanobacteria, cyanophage genome, population dynamics, microarray, metagenome, protein, cyanophage, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
NSF OCE-0425602; NSF EF0424599; DOE DE-FG02-02ER63445; DOE DE-FG02-08ER64516; DOE DE-FG02-07ER64506; Gordon and Betty Moore Foundation award letter 495.01 |
PMID:22102570 | Public | nlx_151586, biotools:proportal | https://bio.tools/proportal | SCR_006112 | Prochlorococcus Portal | 2026-02-14 02:06:25 | 9 |
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