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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Computational Biology at ORNL Resource Report Resource Website |
Computational Biology at ORNL (RRID:SCR_005710) | Computational Biology at ORNL | analysis service resource, data analysis service, production service resource, service resource | We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program. | genetics, research, system development, genomic sequencing, computation, genome analysis, protein structure, analysis, gene, protein, gene annotation, annotation, genome | has parent organization: Oak Ridge National Laboratory | nlx_149161 | SCR_005710 | Computational Biology at Oak Ridge National Laboratory, Computational Biology and Bioinformatics Group at ORNL, Computational Biology Bioinformatics Group at ORNL | 2026-09-05 06:31:31 | 0 | ||||||||
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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 | 2026-09-05 06:31:33 | 64 | ||||||
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GOtcha Resource Report Resource Website 1+ mentions |
GOtcha (RRID:SCR_005790) | GOtcha | analysis service resource, data analysis service, production service resource, service resource | GOtcha provides a prediction of a set of GO terms that can be associated with a given query sequence. Each term is scored independently and the scores calibrated against reference searches to give an accurate percentage likelihood of correctness. These results can be displayed graphically. Why is GOtcha different to what is already out there and why should you be using it? * GOtcha uses a method where it combines information from many search hits, up to and including E-values that are normally discarded. This gives much better sensitivity than other methods. * GOtcha provides a score for each individual term, not just the leaf term or branch. This allows the discrimination between confident assignments that one would find at a more general level and the more specific terms that one would have lower confidence in. * The scores GOtcha provides are calibrated to give a real estimate of correctness. This is expressed as a percentage, giving a result that non-experts are comfortable in interpreting. * GOtcha provides graphical output that gives an overview of the confidence in, or potential alternatives for, particular GO term assignments. The tool is currently web-based; contact David Martin for details of the standalone version. Platform: Online tool | function, protein, prediction, genome, annotation, gene, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Dundee; Scotland; United Kingdom |
Wellcome Trust 060269; European Union fifth framework QLRI-CT-2000-00127 |
PMID:15550167 | Free for academic use | nlx_149269 | http://www.compbio.dundee.ac.uk/Software/GOtcha/gotcha.html | SCR_005790 | 2026-09-05 06:31:31 | 3 | |||||
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FaceBase Biorepository Resource Report Resource Website 1+ mentions |
FaceBase Biorepository (RRID:SCR_006001) | FaceBase Biorepository | biomaterial supply resource, material resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE,documented on January,18, 2022. FaceBase Biorepository is now collecting biological samples from people with cleft lip/palate and their family members. Information for Prospective Cases: Clefts of the lip and/or palate can be caused by a wide range of genetic, environmental and other factors. The FaceBase Biorepository will serve as a common source of both biological samples and information that can be made available to investigators trying to determine the underlying cause of these common birth defects. Genetic studies, in particular, will benefit from both family history information and having samples from affected individuals as well as their family members. DNA is the information containing molecules found in all the cells of our body and can be easily obtained from material such as blood or saliva samples. As part of the FaceBase Biorepository, we are requesting families to submit biological samples from specific family members as well as information from other family members that might be affected with either the same condition or a similar condition. The medical and family history information that is collected includes other relevant information such as exposure to possible environmental causes during pregnancy. The biorepository is managed by Nichole Nidey, a research study coordinator, and Jeff Murray, a pediatric clinical geneticist and researcher. They are available to speak with family members regarding questions they may have, including providing information about the biorepository and making arrangements for the collection of samples for those who wish to participate. All participation is voluntary. Your name or other personally identifiable information (name, address, etc) will be removed before information is placed in the biorepository. Summary data to show how the database itself has been used overall as well as updates on whether specific findings might have been made using this database will be available on the FaceBase website at www.facebase.org. A newsletter containing this information will also be given to families and referring clinicians so that they may discuss the specifics with the families if there appears to be information that might be relevant in a particular case. Families will also need to sign a consent form that has been approved by the Institutional Review Board at the University of Iowa. Also, any submitted samples or data can also be removed from the database at any time should the family no longer wish to participate. Investigators interested in requesting DNA samples or for more information, please contact cleftresearch (at) uiowa.edu, Nichole Nidey, nichole-nidey (at) uiowa.edu or (319) 353-4365, or Jeff Murray, jeff-murray (at) uiowa.edu. | birth defect, genetic, environment, gene |
is listed by: One Mind Biospecimen Bank Listing has parent organization: FaceBase |
Cleft lip, Cleft palate, Family member, Campomelic Dysplasia, Chromosome Abnormality, Congenital Heart Disease, Facial clefting-Tessier Type 4, Gordon Syndrome, Hemifacial Microsomia, Idiopathic Short Stature, Marshall/Stickler, Microtia, Multiple Congenital Anomaly, Neurofibromatosis, Pierre Robin, Popliteal Pterygium Syndrome, Robinow, Downs syndrome, Townes-Brock Syndrome, Van der Woude Syndrome, Popliteal Pterygium Syndrome, Wildervanck Syndrome | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151379 | SCR_006001 | 2026-09-05 06:31:32 | 1 | |||||||
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GOSlimViewer Resource Report Resource Website 10+ mentions |
GOSlimViewer (RRID:SCR_005665) | GOSlimViewer | analysis service resource, data analysis service, production service resource, service resource | Service to summarize the GO function associated with a data set using prepared GO Slim sets. The input is a tab separated list of gene product IDs and GO IDs. | agriculture, browser, slimmer-type tool, gene ontology, gene, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149103, OMICS_02270 | SCR_005665 | GO Slim Viewer, GOSlim Viewer | 2026-09-05 06:31:31 | 40 | |||||
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice. | other analysis, cluster, analysis, visualization, gene expression, genomic, gene ontology, gene association, microarray, protein-protein interaction, gene, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Bioinformatics Institute |
European Union ; Wellcome Trust ; Estonian Science Foundation 5724; Estonian Science Foundation 5722 |
PMID:15215431 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:expression_profiler, nlx_149323 | https://bio.tools/expression_profiler | SCR_005821 | Expression Profiler at the EBI | 2026-09-05 06:31:32 | 6 | ||||
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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 | 2026-09-05 06:31:33 | 9 | ||||
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SGD Gene Ontology Slim Mapper Resource Report Resource Website 10+ mentions |
SGD Gene Ontology Slim Mapper (RRID:SCR_005784) | GO Slim Mapper | analysis service resource, data analysis service, production service resource, service resource | The GO Slim Mapper (aka GO Term Mapper) maps the specific, granular GO terms used to annotate a list of budding yeast gene products to corresponding more general parent GO slim terms. Uses the SGD GO Slim sets. Three GO Slim sets are available at SGD: * Macromolecular complex terms: protein complex terms from the Cellular Component ontology * Yeast GO-Slim: GO terms that represent the major Biological Processes, Molecular Functions, and Cellular Components in S. cerevisiae * Generic GO-Slim: broad, high level GO terms from the Biological Process and Cellular Component ontologies selected and maintained by the Gene Ontology Consortium (GOC) Platform: Online tool | gene, annotation, gene ontology, protein complex, biological process, molecular function, cellular component, gene ontology, orf, yeast, statistical analysis, slimmer-type tool, function |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: SGD |
Free for academic use | nlx_149258 | SCR_005784 | GO Term Mapper, Gene Ontology Slim Mapper | 2026-09-05 06:31:31 | 31 | |||||||
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omniBiomarker Resource Report Resource Website 1+ mentions |
omniBiomarker (RRID:SCR_005750) | omniBiomarker | analysis service resource, data analysis service, production service resource, service resource | omniBiomarker is a web-application for analysis of high-throughput -omic data. Its primary function is to identify differentially expressed biomarkers that may be used for diagnostic or prognostic clinical prediction. Currently, omniBiomarker allows users to analyze their data with many different ranking methods simultaneously using a high-performance compute cluster. The next release of omniBiomarker will automatically select the most biologically relevant ranking method based on user input regarding prior knowledge. The omniBiomarker workflow * Data: Gene Expression * Algorithms: Knowledge-Driven Gene Ranking * Differentially expressed Genes * Clinical / Biological Validation * Knowledge: NCI Thesaurus of Cancer, Cancer Gene Index * back to Algorithms | gene, gene expression, algorithm, cancer, cancer gene, cancer gene index, biocomputing, biomarker, clinical, gene ranking |
has parent organization: Georgia Institute of Technology; Georgia; USA has parent organization: Emory University; Georgia; USA |
Cancer | Georgia Cancer Coalition ; NCI U54CA119338; NCI R01CA108468 |
PMID:19695674 | nlx_149210 | SCR_005750 | omniBiomarker: Knowledge-Driven Biomarker Identification and Data Combination | 2026-09-05 06:31:31 | 3 | |||||
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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 | 2026-09-05 06:31:33 | 5 | |||||
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FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products Resource Report Resource Website |
FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products (RRID:SCR_005738) | FuSSiMeG | analysis service resource, data analysis service, production service resource, service resource | FuSSiMeG is being discontinued, may not be working properly. Please use our new tool ProteinOn. Functional Semantic Similarity Measure between Gene Products (FuSSiMeG) provides a functional similarity measure between two proteins using the semantic similarity between the GO terms annotated with the proteins. Platform: Online tool | protein, similarity, gene ontology, gene, ontology, statistical analysis, term enrichment, semantic similarity, analysis, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: ProteInOn has parent organization: University of Lisbon; Lisbon; Portugal |
Free for academic use | nlx_149198 | SCR_005738 | Functional Semantic Similarity Measure between Gene-Products, Functional Semantic Similarity Measure between Gene Products (FuSSiMeG) | 2026-09-05 06:31:31 | 0 | |||||||
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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 |
NCI CA089713; NHGRI HG000330; NHGRI HG002273; NICHD HD033745 |
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 | 2026-09-05 06:31:35 | 1220 | ||||
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GOEAST - Gene Ontology Enrichment Analysis Software Toolkit Resource Report Resource Website 10+ mentions |
GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) | GOEAST | analysis service resource, data analysis service, production service resource, service resource | Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool | statistical analysis, gene ontology, high-throughput, microarray, hybridization, gene, visualization, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Chinese Academy of Sciences; Beijing; China |
National Natural Science Foundation of China 30725014; National Natural Science Foundation of China 90612019; Ministry of Science and Technology of China 2007CB946901; Chinese Academy of Sciences KSCX2-YW-R-134; Chinese Academy of Sciences KSCX2-YW-N-024 |
PMID:18487275 | Free for academic use | biotools:goeast, nlx_149248 | https://bio.tools/goeast | SCR_006580 | Gene Ontology Enrichment Analysis Software Toolkit, Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) | 2026-09-05 06:31:35 | 40 | ||||
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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 ; Elixir-Excelerate ; European Union Horizon 2020 ; European Union Seventh Framework Programme ; Innovative Medicines Initiative Joint Undertaking ; Instituto de Salud Carlos III-Fondo Europeo de Desarrollo Regional |
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 | 2026-09-05 06:31:33 | 3128 | ||||
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PANOGA Resource Report Resource Website 1+ mentions |
PANOGA (RRID:SCR_006242) | PANOGA | analysis service resource, data analysis service, production service resource, service resource | A web server to devise functionally important pathways through the identification of single nucleotide polymorphism (SNP)-targeted genes within these pathways. The strength of the methodology stems from its multidimensional perspective, where evidence from the following five resources is combined: (i) genetic association information obtained through GWAS, (ii) SNP functional information, (iii) protein-protein interaction network, (iv) linkage disequilibrium and (v) biochemical pathways. | single nucleotide polymorphism, genome-wide association study, pathway, function, gene, genetic association, protein-protein interaction network, linkage disequilibrium, protein-protein interaction |
is listed by: OMICtools has parent organization: Sabanci University; Istanbul; Turkey |
PMID:24413675 | Free, Public, Free for academic use, (source code upon request) | OMICS_02238 | SCR_006242 | Pathway and Network-Oriented GWAS Analysis, Pathway and Network Oriented GWAS (Genome-Wide Association Study) Analysis, Pathway and Network Oriented GWAS Analysis | 2026-09-05 06:31:34 | 7 | ||||||
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StemCellDB Resource Report Resource Website 1+ mentions |
StemCellDB (RRID:SCR_006305) | hES Cell Database | data or information resource, database | Database characterizing and comparing pluripotent human stem cells. The growth and culture conditions of all 21 human embryonic stem cell lines approved under the August 2001 Presidential Executive Order have been analyzed. Available to the scientific community are the results of our rigorous characterization of these cell lines at a more advanced level. | human pluripotent stem cell, human embryonic stem cell line, gene expression, pluripotent, adult, affymetrix microarray platform, agilent microarray platform, gene, stem cell, affymetrix, agilent, microarray, snp, array cgh, methylation, mirna array | has parent organization: National Institutes of Health | NINDS | PMID:23117585 | Public | nlx_151996 | SCR_006305 | NIH Stem Cell Database | 2026-09-05 06:31:34 | 1 | |||||
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Clinical Genomic Database Resource Report Resource Website 10+ mentions |
Clinical Genomic Database (RRID:SCR_006427) | CGD | data or information resource, database | Manually curated database of all conditions with known genetic causes, focusing on medically significant genetic data with available interventions. Includes gene symbol, conditions, allelic conditions, inheritance, age in which interventions are indicated, clinical categorization, and general description of interventions/rationale. Contents are intended to describe types of interventions that might be considered. Includes only single gene alterations and does not include genetic associations or susceptibility factors related to more complex diseases. | genomic sequencing, genome, clinical, pediatric, adult human, young human, genomic medicine, whole-genome sequencing, gene, organ system, intervention, gene symbol, condition, allelic condition, clinical categorization, manifestation, inheritance, age group, genetic variant, pathogenic mutation |
is used by: NIF Data Federation has parent organization: National Human Genome Research Institute |
NHGRI | PMID:23696674 | Free, Freely available | nlx_152872, r3d100012332 | https://doi.org/10.17616/R31D3C | SCR_006427 | Clinical Genomics Database | 2026-09-05 06:31:35 | 10 | ||||
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GeneTerm Linker Resource Report Resource Website 1+ mentions |
GeneTerm Linker (RRID:SCR_006385) | GTLinker | analysis service resource, data analysis service, production service resource, service resource | Web application that filters and links enriched output data identifying sets of associated genes and terms, producing metagroups of coherent biological significance. The method uses fuzzy reciprocal linkage between genes and terms to unravel their functional convergence and associations. It can also be accessed through its web service. | gene, functional annotation, function, functional metagroup, p-value, annotation, web service |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: InterPro has parent organization: Spanish National Research Council; Madrid; Spain |
PMID:21949701 | Acknowledgement requested | OMICS_02227 | SCR_006385 | GeneTerm Linker - post enrichment functional association by non-redundant reciprocal linkage | 2026-09-05 06:31:35 | 2 | ||||||
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Genotype-IBD Sharing Test Resource Report Resource Website 100+ mentions |
Genotype-IBD Sharing Test (RRID:SCR_006257) | GIST | resource, software application, software resource | Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix. | identical by descent, genotype, gene, genetic, genomic, unix, ms-windows, linux, linkage disequilibrium, linkage, association |
is listed by: Genetic Analysis Software has parent organization: Vanderbilt University; Tennessee; USA |
Vanderbilt Diabetes Center ; NHGRI HG00376; NIDDK DK62370; NHGRI N01-HG-15465 |
PMID:14872409 | nlx_154133 | http://phg.mc.vanderbilt.edu/content/gist | SCR_006257 | 2026-09-05 06:31:34 | 120 | ||||||
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Magic Resource Report Resource Website 500+ mentions |
Magic (RRID:SCR_006406) | MAGIC | data or information resource, database, service resource | Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress. | gene expression, microarray, development stage, annotation, line, perturbation, gene, contrast, pathway, locus tag, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Expression Omnibus is related to: ArrayExpress is related to: Plant Ontology is related to: Gene Ontology has parent organization: Ghent University; Ghent; Belgium |
PMID:24407224 | biotools:magic, OMICS_02206 | https://bio.tools/magic | SCR_006406 | MAGIC - MAize Gene expressIon Compendium, MAize Gene expressIon Compendium | 2026-09-05 06:31:35 | 709 |
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We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
