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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Islet eQTL Explorer Resource Report Resource Website 1+ mentions |
Islet eQTL Explorer (RRID:SCR_018692) | software resource, service resource, data access protocol, web service, data or information resource | Web tool for exploring variants in islet expression quantitative trait loci. Data is result of collaboration between Michigan University Parker lab, Department of Biostatistics and Center for Statistical Genetics at University of Michigan, National Human Genome Research Institute, Jackson Laboratory for Genomic Medicine, Department of Genetics at University of North Carolina, European Bioinformatics Institute, Department of Preventive Medicine at University of Southern California, and Department of Physiology and Biophysics at University of Southern California. | Exploring variants, islet expression, quantitative trait loci, data, chromatin, chromatin state annotation, gene, footprint, allele | has parent organization: University of Michigan; Ann Arbor; USA | Free, Freely available | SCR_018692 | 2026-08-06 09:29:28 | 1 | ||||||||||
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Kaplan Meier Plotter Resource Report Resource Website 1000+ mentions |
Kaplan Meier Plotter (RRID:SCR_018753) | software resource, data access protocol, service resource, production service resource, web service, analysis service resource | Web tool for meta analysis based discovery and validation of survival biomarkers. Assesses effect of genes on survival using cancer samples including breast, ovarian, lung, and gastric cancer. Sources for databases include GEO, EGA, and TCGA. | Meta analysis, discovery, validation, survival biomarker, gene effect assess, cancer sample, cancer survival gene, gene, cancer, survival, FASEB list | Free, Freely available | SCR_018753 | Kaplan-Meier Plotter, KM plotter | 2026-08-06 09:29:21 | 1142 | ||||||||||
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IMGT/StatClonotype Resource Report Resource Website 1+ mentions |
IMGT/StatClonotype (RRID:SCR_018963) | data analysis software, software application, software resource, data processing software | Software tool to evaluate and visualize statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per variable,diversity, and joining gene of given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. Antibody clonotype analysis based on NGS sequences. | T cell receptor, antibody, immunoglobulin, immunoinformatics, next generation sequencing, statistical significance, clonotype diversity, clonotype expression, pairwise comparison, gene, NGS, analysis, antybody clonotype, bio.tools |
is listed by: bio.tools is listed by: Debian |
PMID:27667992 | Free, Available for download, Freely available | biotools:IMGt_StatClonotype | https://bio.tools/IMGT_StatClonotype | SCR_018963 | IMGTStatClonotype, ImMunoGeneTics/StatClonotype | 2026-08-06 09:29:23 | 3 | ||||||
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Gene Skyline Resource Report Resource Website 10+ mentions |
Gene Skyline (RRID:SCR_019014) | web service, data access protocol, data or information resource, software resource | Browser for general overview of expression profiles for RNA-seq data. Presents expression profiles of selected gene in chosen group of cell types, in either microarray or ULI RNA-seq data. | Expression profiles overwiev, RNAseq data, gene, microarray data, ULI RNAseq data, Immunological Genome Project | Free, Freely available | SCR_019014 | 2026-08-06 09:29:30 | 30 | |||||||||||
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Mutation and Patient Database Resource Report Resource Website 1+ mentions |
Mutation and Patient Database (RRID:SCR_018806) | data set, database, data or information resource | Collection of published mutations and sequence variations in genes that cause Neuronal Ceroid Lipofuscinoses together with unpublished data included with permission. There are two tables for each human NCL disease gene - Patient Datasheets list all published or reported patients and families, and Mutation Datasheets list all published or reported mutations, cross-referenced to patient table. Datasheets are available to view or download as excel files for off-site use to aid local needs or interests. Database follows mutation nomenclature recommendations of Human Genome Variation Society. | Mutation, gene mutation, sequence variations, gene, human NCL disease gene, patient datasheet, mutation datasheet, mutation nomenclature, human genome variation society, data | has parent organization: University College London; London; United Kingdom | Neuronal Ceroid Lipofuscinoses, NCL, Batten disease | Free, Freely available | SCR_018806 | NCL Mutation Database, NCL Mutation and Patient Database | 2026-08-06 09:29:23 | 4 | ||||||||
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PPDB: Plant Promoter Database Resource Report Resource Website |
PPDB: Plant Promoter Database (RRID:SCR_003395) | PPDB | database, data or information resource | A plant promoter database that provides information on transcription start sites (TSSs), core promoter structure and regulatory element groups (REGs) as putative and comprehensive transcriptional regulatory elements. Microarray data-based predictions have been appended as REG annotations which inform their putative physiological roles. | gene, transcription start site, promoter structure, promoter, regulatory element group, homolog |
is listed by: OMICtools has parent organization: Gifu University; Gifu; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:24194597 PMID:17947329 |
Free, Available for download, Freely available | nif-0000-03329, OMICS_01874 | http://ppdb.gene.nagoya-u.ac.jp/cgi-bin/index.cgi | SCR_003395 | Plant Promoter Database | 2026-08-06 09:25:52 | 0 | ||||
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Integrated Molecular Interaction Database Resource Report Resource Website 1+ mentions |
Integrated Molecular Interaction Database (RRID:SCR_003546) | IMID | database, data or information resource | Database for molecular interaction information integrated with various other bio-entity information, including pathways, diseases, gene ontology (GO) terms, species and molecular types. The information is obtained from several manually curated databases and automatic extraction from literature. There are protein-protein interaction, gene/protein regulation and protein-small molecule interaction information stored in the database. The interaction information is linked with relevant GO terms, pathway, disease and species names. Interactions are also linked to the PubMed IDs of the corresponding abstracts the interactions were obtained from. Manually curated molecular interaction information was obtained from BioGRID, IntAct, NCBI Gene, and STITCH database. Pathway related information was obtained from KEGG database, Pathway Interaction database and Reactome. Disease information was obtained from PharmGKB and KEGG database. Gene ontology terms and related information was obtained from Gene Ontology database and GOA database. | pathway, disease, gene ontology, specie, interaction, molecular, protein-protein interaction, gene/protein regulation, protein-small molecule interaction, gene, protein, regulation |
is related to: Gene Ontology is related to: Entrez Gene is related to: Pathway Commons is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: IntAct is related to: Search Tool for Interactions of Chemicals is related to: KEGG is related to: Pathway Interaction Database is related to: Reactome is related to: PharmGKB has parent organization: Florida State University; Florida; USA |
PMID:22238258 | nlx_157667 | SCR_003546 | 2026-08-06 09:25:55 | 1 | ||||||||
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Cotton EST Database Resource Report Resource Website 10+ mentions |
Cotton EST Database (RRID:SCR_003301) | Cotton EST Database | database, data or information resource | Database platform for cotton expressed sequence tag (EST)-related information, covering assembled contigs, function annotation, analysis of GO and KEGG, SNP, miRNA, SSR-related marker information. | expressed sequence tag, contig, indel mutant, single nucleotide polymorphism, transcription factor, protein kinase, gene, mirna, blast, est-simple sequence repeat, simple sequence repeat, pathway, function |
is related to: Gene Ontology is related to: KEGG has parent organization: East Carolina University; Carolina; USA |
PMID:22087239 | THIS RESOURCE IS NO LONGER IN SERVICE | r3d100011232 | https://doi.org/10.17616/R3X63C | http://www.leonxie.com/ | SCR_003301 | 2026-08-06 09:25:51 | 10 | |||||
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Babelomics Resource Report Resource Website 100+ mentions |
Babelomics (RRID:SCR_002969) | Babelomics | data analysis service, production service resource, analysis service resource, service resource | An integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Version 4 of Babelomics integrates primary (normalization, calls, etc.) and secondary (signatures, predictors, associations, TDTs, clustering, etc.) analysis tools within an environment that allows relating genomic data and/or interpreting them by means of different functional enrichment or gene set methods. Such interpretation is made not only using functional definitions (GO, KEGG, Biocarta, etc.) but also regulatory information (from Transfac, Jaspar, etc.) and other levels of regulation such as miRNA-mediated interference, protein-protein interactions, text-mining module definitions and the possibility of producing de novo annotations through the Blast2GO system . Babelomics has been extensively re-engineered and now it includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. In this release GEPAS and Babelomics have integrated into a unique web application with many new features and improvements: * Data input: import and quality control for the most common microarray formats * Normalization and base calling: for the most common expression, tiling and SNP microarrays (Affymetrix and Agilent). * Transcriptomics: diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and time-series analysis. * Genotyping: stratification analysis, association, TDT. * Functional profiling: functional enrichment and gene set enrichment analysis with functional terms (GO, KEGG, Biocarta, etc.), regulatory (Transfac, Jaspar, miRNAs, etc.), text-mining, derived bioentities, protein-protein interaction analysis. * Integrative analysis: Different variables can be related to each other (e.g. gene expression to gnomic copy number) and the results subjected to functional analysis. Platform: Online tool | platform, analysis, transcriptomics, proteomics, genomics, normalization, clustering, gene, mirna, protein, interaction, text mining, genotyping, bioentity, functional profiling, statistical analysis, functional annotation, regulatory motif, microarray, fatigo, biclustering, networkminer, gepas, gene expression, FASEB list |
is listed by: OMICtools is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG is related to: TRANSFAC is related to: JASPAR has parent organization: CIPF Bioinformatics and Genomics Department |
Spanish Ministry of Science and Innovation BIO2008-04212; Spanish Ministry of Science and Innovation CEN-2008-1002; Red Temtica de Investigacion Cooperativa en Cancer RD06/0020/1019; Instituto de Salud Carlos III |
PMID:20478823 PMID:18515841 PMID:16845052 PMID:14990455 PMID:15980512 PMID:17478504 |
Free for academic use, Account required | OMICS_00748, nif-0000-30144 | http://www.fatigo.org/, http://www.gepas.org/, http://babelomics3.bioinfo.cipf.es | http://www.babelomics.org | SCR_002969 | Babelomics 4: Gene Expression and Functional Profiling Analysis Suite, Babelomics 4 | 2026-08-06 09:25:46 | 136 | |||
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ResponseNet Resource Report Resource Website 1+ mentions |
ResponseNet (RRID:SCR_003176) | ResponseNet | data analysis service, production service resource, analysis service resource, service resource | WebServer that identifies high-probability signaling and regulatory paths that connect input data sets. The input includes two weighted lists of condition-related proteins and genes, such as a set of disease-associated proteins and a set of differentially expressed disease genes, and a molecular interaction network (i.e., interactome). The output is a sparse, high-probability interactome sub-network connecting the two sets that is biased toward signaling pathways. This sub-network exposes additional proteins that are potentially involved in the studied condition and their likely modes of action. Computationally, it is formulated as a minimum-cost flow optimization problem that is solved using linear programming. | interactome, gene, protein, signaling pathway, signaling, regulatory, pathway, regulatory pathway, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Ben-Gurion University of the Negev; Beer-Sheva; Israel |
PMID:23761447 PMID:21576238 |
Free, Freely available | biotools:responsenet, OMICS_01562 | https://bio.tools/responsenet | http://netbio.bgu.ac.il/respnet/ | SCR_003176 | 2026-08-06 09:25:49 | 4 | |||||
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Gene Reference into Function Resource Report Resource Website 10+ mentions |
Gene Reference into Function (RRID:SCR_003436) | GeneRIF | database, data or information resource | A database and annotation tool that provides a simple mechanism to allow scientists to add to the functional annotation of genes described in Gene. To be processed, a valid Gene ID must exist for the specific gene, or the Gene staff must have assigned an overall Gene ID to the species. The latter case is implemented via records in Gene with the symbol NEWENTRY. | functional annotation, gene, function |
is related to: Entrez Gene has parent organization: NCBI |
NIH | PMID:17094227 PMID:23725347 |
Free, Freely available | nlx_157765 | SCR_003436 | GeneRIF: Gene Reference into Function | 2026-08-06 09:25:54 | 14 | |||||
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TPA Resource Report Resource Website 1+ mentions |
TPA (RRID:SCR_003593) | TPA | database, data or information resource | Database designed to capture experimental or inferential results that support submitter-provided annotation for sequence data that the submitter did not directly determine but derived from GenBank primary data. Records are divided into two categories: * TPA:experimental: Annotation of sequence data is supported by peer-reviewed wet-lab experimental evidence. * TPA:inferential: Annotation of sequence data by inference (where the source molecule or its product(s) have not been the subject of direct experimentation) TPA records are retrieved through the Nucleotide Database and feature information on the sequence, how it was cataloged, and proper way to cite the sequence information. | gene, gene expression, nucleotide sequence, annotation, sequence |
is listed by: re3data.org is related to: GenBank is related to: NCBI Protein Database is related to: NCBI Nucleotide has parent organization: NCBI |
PMID:16901214 | nlx_157738, r3d100010506 | https://doi.org/10.17616/R3KS4H | SCR_003593 | Third Party Annotation, NCBI TPA, NCBI Third Party Annotation | 2026-08-06 09:25:56 | 4 | ||||||
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Hapmix Resource Report Resource Website 10+ mentions |
Hapmix (RRID:SCR_004203) | HAPMIX | software application, source code, software resource | Software application that uses genotyping data from SNP arrays for accurately inferring chromosomal segments of distinct continental ancestry in admixed populations, using dense genetic data. (entry from Genetic Analysis Software) | gene, genetic, genomic, admixed, population, genotype, single nucleotide polymorphism, ancestry, chromosomal segment, snp array |
is listed by: OMICtools is listed by: Genetic Analysis Software has parent organization: Harvard Medical School; Massachusetts; USA |
NHGRI U01-HG004168; NHLBI R01-HL087699 |
PMID:19543370 | Restricted | nlx_22768, OMICS_02082 | http://www.hsph.harvard.edu/faculty/alkes-price/software/, http://www.stats.ox.ac.uk/~myers/software.html, https://reich.hms.harvard.edu/software | http://genetics.med.harvard.edu/reich/Reich_Lab/Software.html | SCR_004203 | 2026-08-06 09:26:03 | 45 | ||||
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Enhancer Trap Line Browser Resource Report Resource Website |
Enhancer Trap Line Browser (RRID:SCR_003592) | Enhancer Trap Line Browser | database, data or information resource, atlas | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Database and atlas of transgenic mouse lines that are generated by random insertion of enhancer trap probes. The trapped lines have highly restricted expression of tet transcription activator (some lines also have Cre DNA recombinase), which enables genetic manipulations in specific cell types. | sagittal, coronal, gene, image, enhancer trap, piggybac transposon, probe, tet enahcer trap |
is related to: UCSC Genome Browser is related to: Mouse Genome Informatics (MGI) is related to: Allen Mouse Brain Reference Atlas has parent organization: Brandeis University; Massachusetts; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_157737 | SCR_003592 | 2026-08-06 09:25:55 | 0 | ||||||||
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NCBI Structure Resource Report Resource Website 10+ mentions |
NCBI Structure (RRID:SCR_004218) | NCBI Structure | database, data or information resource | Database of three-dimensional structures of macromolecules that allows the user to retrieve structures for specific molecule types as well as structures for genes and proteins of interest. Three main databases comprise Structure-The Molecular Modeling Database; Conserved Domains and Protein Classification; and the BioSystems Database. Structure also links to the PubChem databases to connect biological activity data to the macromolecular structures. Users can locate structural templates for proteins and interactively view structures and sequence data to closely examine sequence-structure relationships. * Macromolecular structures: The three-dimensional structures of biomolecules provide a wealth of information on their biological function and evolutionary relationships. The Molecular Modeling Database (MMDB), as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more. It is possible, for example, to find 3D structures for homologs of a protein of interest by following the Related Structure link in an Entrez Protein sequence record. * Conserved domains and protein classification: Conserved domains are functional units within a protein that act as building blocks in molecular evolution and recombine in various arrangements to make proteins with different functions. The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, in addition to NCBI-curated domains that use 3D-structure information explicitly to define domain boundaries and provide insights into sequence/structure/function relationships. * Small molecules and their biological activity: The PubChem project provides information on the biological activities of small molecules and is a component of NIH''''s Molecular Libraries Roadmap Initiative. PubChem includes three databases: PCSubstance, PCBioAssay, and PCCompound. The PubChem data are linked to other data types (illustrated example) in the Entrez system, making it possible, for example, to retrieve information about a compound and then Link to its biological activity data, retrieve 3D protein structures bound to the compound and interactively view their active sites, and find biosystems that include the compound as a component. * Biological Systems: A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. The NCBI BioSystems Database provides centralized access to biological pathways from several source databases and connects the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system. BioSystem records list and categorize components (illustrated example), such as the genes, proteins, and small molecules involved in a biological system. The companion FLink icon FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. | macromolecule, conserved domain, protein classification, protein, small molecule, biological activity, molecule, biosystem, biological system, structure, gene, alignment, biomolecule, interaction, function, evolution, 3d spatial image, visualization, gold standard |
is listed by: re3data.org is related to: PubChem is related to: NCBI BioSystems Database is related to: Conserved Domain Database is related to: Molecular Modeling DataBase is related to: CBLAST is related to: NCBI Structure: Cn3D is related to: IBIS: Inferred Biomolecular Interactions Server is related to: Vector Alignment Search Tool is related to: PubMed has parent organization: NCBI |
Free, Public, Acknowledgement requested | nlx_23947, r3d100010927 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=structure, https://doi.org/10.17616/R3PP7J | SCR_004218 | 2026-08-06 09:26:04 | 25 | |||||||
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Hungarian Neurological-Psychiatric Biobank Resource Report Resource Website |
Hungarian Neurological-Psychiatric Biobank (RRID:SCR_003715) | NEPSYBANK | material resource, tissue bank, biomaterial supply resource | The Hungarian Society of Clinical Neurgenetics established a nationwide collaboration for prospective collection of human biological materials and databases from patient with neurological and psychiatric diseases. The basic triangle of the NEPSYBANK is the sample, the information and the study management. The present participants of the NEPSYBANK are the Department of Neurology and Psychiatry of the four Medical Universities (in Budapest, Debrecen, Pecs, Szeged) and the National Institute of Psychiatry and Neurology in Budapest. The NEPSYBANK is a disease based biobank collecting both phenotypical and environmental data and biological materials such as DNA/RNA, whole blood, plasma, cerebral spinal fluid, muscle / nerve / skin biopsy, brain, and fibroblast. The target of the diseases is presently (Phase I): stroke syndromes, dementias, movement disorders, motoneuron diseases, epilepsy, multiple sclerosis, schizophrenia, alcohol addiction. In the near future (Phase II.) it is planned to enlarge the scale with headaches, disorders of the peripheral nerves, disorders of neuromuscular transmission, disorders of skeletal muscle, depression, anxiety. DNA/RNA is usually extracted from whole blood, but occasionally different tissues such as muscle, brain etc. can be used as well. The extracting procedures differ among the institutes, but in all cases the concentration and the quality of the DNA/RNA must be registered in the database. Participating institutional biobanks have committed themselves to follow common quality standards, which provide access to samples after prioritization on scientific grounds only. In every case the following data are registered. 1. General data: main bank categories, age, sex, ethnicity, body height, body weight, economic stats, education, type of place of living, marital status, birth complications, alcohol, drugs, smoking. 2. Sample properties (sample ID, type of sample, date of extraction, concentration, and level of purity). General patient data as blood pressure, heart rate, internal medical status, ECG, additional diseases. Disease specific question e.g. in schizophrenia the diagnosis after DSMIV and ICD 10, detailed diagnostic questions after both classification, detailed psychiatric and neurological status, laboratory findings, rating scales, data of neuroimaging, genetic tests, applied medication (with generic name, dose, duration), adverse drug effects and other treatments. The Biobank Information Management System (BIMS) is responsible for linkage of databases containing information on the individual sample donors. If you want to have samples from the NEPSYBANK an application must be submitted containing the following information: short research plan including aims and study design, ethic application with a positive decision, specific demands regarding the right of disposition, agreements with grant organizations which regulate immaterial property, information about financing (academic grants, support from industry). All participants have the right to withdraw their samples through a simple order. | neurology, psychiatry, genomic, gene, genetic, disease, phenotype, clinical data, environment, dna, rna, whole blood, plasma, cerebral spinal fluid, muscle, biopsy, nerve, skin, brain, fibroblast, tissue, blood, frozen, liquid nitrogen, neurological disease, psychiatric disease, stroke, dementia, movement disorder, motor neuron disease, epilepsy, multiple sclerosis, schizophrenia, alcohol, addiction, alcohol addiction, headache, peripheral nerve disorder, neuromuscular transmission disorder, skeletal muscle disorder, depressive disorder, anxiety | is listed by: One Mind Biospecimen Bank Listing | Neurological disease, Psychiatric disease, Stroke, Dementia, Movement disorder, Motor Neuron Disease, Epilepsy, Multiple Sclerosis, Schizophrenia, Alcohol addiction, Headache, Peripheral nerve disorder, Neuromuscular transmission disorder, Skeletal muscle disorder, Depressive Disorder, Anxiety | PMID:17448454 | Public: if you want to have samples from the NEPSYBANK an application must be submitted. | nlx_13478 | SCR_003715 | Hungarian Neurological - Psychiatric Biobank, Hungarian Neurological - Psychiatric Biobank - NEPSYBANK | 2026-08-06 09:25:56 | 0 | |||||
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SEVENS Resource Report Resource Website 1+ mentions |
SEVENS (RRID:SCR_004688) | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. SEVENS summarizes GPCR (G-protein coupled receptor) genes that are identified with high accuracy from 43 eukaryote genomes, by a pipeline integrating such software as a gene finder, a sequence alignment tool, a motif and domain assignment tool, and a transmembrane helix predictor. This treats a larger data space (than that in currently available other databases), which should include not only the expressed sequences but also the newly identified sequences that cannot be detected by in vivo experiments, although they definitely exist on the genome sequence and are just waiting for the opportunity to express their functions. SEVENS provides the infrastructure of general information of GPCR universe for comparative genomics. We developed an automatic system for identifying GPCR (G-protein coupled receptor) genes from various kinds of genomes, by integrating such software as a gene finder, a sequence alignment tool, a motif and domain assignment tool, and a transmembrane helix predictor. SEVENS enables us to perform a genome-scale overview of the GPCR universe using sequences that are identified with high accuracy (99.4% sensitivity and 96.6% specificity). Using this system, we surveyed the complete genomes of 7 eukaryotes and 224 prokaryotes, and found that there are 4 to 1016 GPCR genes in the 7 eukaryotes, and only a total of 16 GPCR genes in all the prokaryotes. Our preliminary results indicate that 11 subfamilies of the Class A family, the Class 2(B) family, the Class 3(C) family and the fz/smo family are commonly found among human, fly, and nematode genomes. We also analyzed the chromosomal locations of the GPCR genes with the Kolmogorov-Smirnov test, and found that species-specific families, such as olfactory, taste, and chemokine receptors in human and nematode chemoreceptor in worm, tend to form clusters extensively, whereas no significant clusters were detected in fly and plant genomes. How we found GPCR sequences: Candidate GPCR genes were collected from 32 eukaryote genomes by using the GPCR gene discovery pipeline, composed of two stages: (1) the gene finding stage, and (2) the GPCR gene screening stage. 1)Gene finding stage (i.e., translation of genomic sequences into amino acid sequences). 2)GPCR gene screening stage of GPCR candidates by assessing genes with sequence search, motif- and domain assignment, and transmembrane helix (TMH) prediction. Details available at the website. Acknowledgment: We are pleased to acknowledge the use of the BLAST package from NCBI, the SOSUI from Dr. T. Hirokawa, the ALN from Dr. O. Gotoh, the HMMER from Dr. A. Bateman. This work was supported by KAKENHI (208059) (Grant-in-Aid for Publication of Scientific Research Results) of Japan Society for the Promotion of Science (JSPS). | eukaryote, gene, chromosomal locations, comparative genomics, genomes, g-protein coupled receptor, g-protein coupled receptor genes, prokaryotes, signal transudation, transmembrane helices | has parent organization: National Institute of Advanced Industrial Science and Technology | PMID:19718507 PMID:29892516 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03455 | SCR_004688 | SEVENS | 2026-08-06 09:26:12 | 9 | |||||||
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Human DNA Polymerase Gamma Mutation Database Resource Report Resource Website 10+ mentions |
Human DNA Polymerase Gamma Mutation Database (RRID:SCR_004722) | Human DNA Polymerase Gamma Mutation Database | database, data or information resource | Database that lists all known mutations in the coding region of the POLG gene and describes the associated disease. Human DNA polymerase is composed of two subunits, a 140 kDa catalytic subunit encoded by the POLG on chromosome 15q25, and a 55kDa accessory subunit encoded by the POLG2 gene on chromosome 17q23-24. A number of mutations have been mapped to the gene for the catalytic subunit of DNA polymerase, POLG, and found to be associated with mitochondrial diseases. The nucleotide changes are numbered from the initiation Methionine codon and are based on the cDNA (accession U60325.1) and gene sequence (accession AF497906.1). | mutation, polg, gene, dna polymerase, FASEB list |
is listed by: OMICtools has parent organization: National Institute of Environmental Health Sciences |
Mitochondrial disease | Free | OMICS_01639, nlx_71693 | SCR_004722 | 2026-08-06 09:26:13 | 38 | |||||||
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Pain Genes database Resource Report Resource Website 10+ mentions |
Pain Genes database (RRID:SCR_004771) | PainGenesdb | database, data or information resource | Database of genes regulated by pain derived from published manuscripts describing results of pain-relevant knockout studies. The database has two levels of exploration: across-gene and within-gene. The across-gene level, the PainGenesdbSelector, is encountered first. All genes in the database can be accessed and sorted by their gene name, protein name, common names and acronyms, or genomic position (by navigating a graphic representation of the mouse genome). The gene and protein names can be selected from an alphabetical list, or by typing a text string into a search box. | knock out mouse, pain sensation, mice, mutant, knockout, gene, genome, protein | has parent organization: McGill University; Montreal; Canada | Pain | Louise Edwards Foundation | PMID:17574758 | nlx_77039, r3d100012129 | https://doi.org/10.17616/R3WP95 | SCR_004771 | PainGenes DB | 2026-08-06 09:26:14 | 15 | ||||
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UniGene Resource Report Resource Website 1000+ mentions |
UniGene (RRID:SCR_004405) | UniGene | service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Web tool for an organized view of the transcriptome. Collection of the computationally identified transcripts from the same locus. Information on protein similarities, gene expression, cDNA clones, and genomic location. System for automatically partitioning GenBank sequences into a non redundant set of gene oriented clusters. | colleciton, data, information, organized, view, transcriptome, locus, protein, similarity, gene, expression, |
is used by: Rank Rank Hypergeometric Overlap is listed by: OMICtools is listed by: re3data.org is related to: ProbeMatchDB 2.0 is related to: Bgee: dataBase for Gene Expression Evolution is related to: GeneSpeed- A Database of Unigene Domain Organization has parent organization: NCBI works with: Digital Differential Display (DDD) |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_41571, OMICS_01663, r3d100010774 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=unigene, https://doi.org/10.17616/R35G7T | SCR_004405 | NCBI UniGene, Organized View of the Transcriptome, UniGene | 2026-08-06 09:26:10 | 1153 |
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