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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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NYU Institute for Pediatric Neuroscience Sample Resource Report Resource Website |
NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) | NYU IPN Sample, NYUIQ | data or information resource, data set | Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first. | adult human, young human, intelligence quotient, child, adolescent, clinical, resting state fmri, t1-weighted, mprage, diffusion tensor imaging, fsiq, viq, piq, neuroimaging, brain, image collection |
has parent organization: 1000 Functional Connectomes Project has parent organization: New York University; New York; USA |
Neurotypical, Aging | Autism Speaks ; Stavros Niarchos Foundation ; Leon Levy Foundation ; Phyllis Green and Randolph Cwen ; NIMH R01MH083246 |
Creative Commons Attribution-NonCommercial License | nlx_157644 | SCR_010458 | NYU Phyllis Green and Randolph Cwen Institute for Pediatric Neuroscience Sample | 2026-07-27 09:33:44 | 0 | |||||
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Virginia Tech Carilion Research Institute Sample Resource Report Resource Website |
Virginia Tech Carilion Research Institute Sample (RRID:SCR_010459) | VTCRI Sample | data or information resource, data set | Dataset including a T1 weighted anatomical image as well as two 10-minute resting state scans acquired during the same session from 25 psychiatrically screened healthy adults (community sample) ranging in age from 18 to 65 years old, with age, sex, education level, and ethnicity provided. Some subjects also returned several weeks after the first scan for a second scanning session. The number of days between scan sessions, for subjects that had two sessions, is indicated in the demographics spreadsheet. The study scanning protocol included: # 13 sec localizer # 4 minute 38 second T1 weighted anatomical # Subject given instructions for resting state scan #1 # 10 minute 4 second resting state scan #1 # Subject given instructions for resting state scan #2 # 10 minute 4 second resting state scan #2 Scanning was performed on one of three different 3T Siemens TIM TRIOs at the Human Neuroimaging Lab at Baylor College of Medicine in Houston, Texas. All scans were acquired using the standard Siemen''s TIM 12-channel head matrix. The resting state scans were acquired with a custom sequence that is a slight modification to the standard Siemen''s EPI sequence that supports real-time fMRI. Images were acquired slightly oblique to minimize dephasing in the orbito-frontal cortex. Detailed scanning parameters are included in separate .pdf files. | resting state fmri, t1-weighted, mprage, adult human, early adult human, late adult human, middle adult human, image collection, neuroimaging, brain, demographic, fmri, aging |
has parent organization: 1000 Functional Connectomes Project has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
Healthy | Creative Commons Attribution-NonCommercial License | nlx_157645 | SCR_010459 | Virginia Tech CRI Sample | 2026-07-27 09:33:46 | 0 | ||||||
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Public Use Microdata Sample for the Older Population Resource Report Resource Website |
Public Use Microdata Sample for the Older Population (RRID:SCR_010487) | PUMS-O | data or information resource, data set | A public-use microdata sample focusing on the older population created from the 1990 census. This sample consists of 3 percent of households with at least one member aged 60 or older. Although, the highest age presented is age 90, this allows analysis of data on the very old for most states with a reasonable degree of reliability. Since data for all members in households containing a person 60 years and over will be on the file, users will be able to analyze patterns such as living arrangements and sources of household income from which older members may benefit. Additionally, users will be able to augment the PUMS-O sample with a PUMS file. The Census Bureau has issued two regular PUMS files for the entire population. One PUMS file will contain 1 percent of all households; the other PUMS file will contain 5 percent of all households. Both files have most sample data items, and differ only in geographical composition. The 1-percent file contains geographic areas that reflect metropolitan vs. non-metropolitan areas. The 5-percent file shows counties or groups of counties as well as large sub-county areas such as places of 100,000 or more. The geography on the 5-percent PUMS file matches that of the PUMS-O file. Since data for different households are present on the two files, users can merge the PUMS-O file with the 5-percent PUMS to construct an 8-percent sample. However, weighted averages must be constructed for any estimates created because each sample yields state-level estimates. Thus, it is possible to analyze substate areas even for the very old. In states where the geographic areas identified on the PUMS-O and the 5-percent PUMS are coterminous with State Planning and Service Areas (used by service providers in relation to the Older Americans Act), the Planning and Service Areas are identified. * Dates of Study: 1990-2000 Links: 1980: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08101 2000: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04204 | late adult human |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) has parent organization: U.S. Census Bureau |
Aging | U.S. Census Bureau ; Administration on Aging |
Public, Computer tape, CD-ROM, Customer Services, Bureau of the Census, (301) 457-4100 | nlx_157768 | SCR_010487 | Public Use Microdata Sample: 3-Percent Elderly Sample, Public Use Microdata Sample: Elderly Households Extract | 2026-07-27 09:33:46 | 0 | |||||
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Scripps Wellderly Genome Reference Resource Report Resource Website |
Scripps Wellderly Genome Reference (RRID:SCR_010250) | SWGR | data or information resource, data set | Whole genome sequencing data for 454 unrelated Scripps Wellderly Study participants with European ancestry from a project that is studying the genetic architecture of exceptional healthspan from a cohort comprised of more than 1300 healthy individuals over the age of 80 years. SWGR_v1.0 includes chromosome-specific VCF4.1 bgzipped and tabix indexed files. Annotations for each variant can be found at Scripps Genome ADVISER (SG-ADVISER, http://genomics.scripps.edu/) Additional data releases are expected. | genomics, genomic sequence, genome, female, male, late adult human | has parent organization: Scripps Translational Science Institute | Healthy aging, Aging, Healthy | Scripps Health; California; USA ; NCATS ScienceUL1 TR00114 |
Free, Public, Acknowledgement required | nlx_156888 | SCR_010250 | 2026-07-27 09:33:40 | 0 | ||||||
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COBRE Resource Report Resource Website 100+ mentions |
COBRE (RRID:SCR_010482) | COBRE | data or information resource, data set | Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information. | resting fmri, anatomical mri, phenotype, gender, age, handedness, diagnosis, adult human, fmri, mri, neuroimaging, mental state assessment, clinical |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Schizophrenia, Normal control, Aging | NCRR 1P20RR021938-01A2 | Creative Commons Attribution-NonCommercial License, Account required | nlx_157762 | SCR_010482 | Center for Biomedical Research Excellence, Center for Biomedical Research Excellence (COBRE) | 2026-07-27 09:33:38 | 108 | |||||
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Precursors of Premature Disease and Death Resource Report Resource Website |
Precursors of Premature Disease and Death (RRID:SCR_010483) | Precursors of Premature Disease and Death | data or information resource, data set | Data set of annual questionnaires of a long-term prospective study of 1,337 former Johns Hopkins University medical students to identify precursors of premature cardiovascular disease and hypertension. The purpose of the study has broadened, however, as the cohort has aged. The study has been funded for 15 years. Participants were an average of 22 years of age at entry and have been followed to an average age of 69 years. Data are collected through annual questionnaires, supplemented with phone calls and substudies. Self-reports of diseases and risk factors have been validated. Every year from 1988 to 2003, anywhere from 2 to 6 questionnaires have been administered, in categories such as the following, which repeat periodically: Morbidity, Supplemental Illness, Health Behavior, Family and Career, Retirement, Job Satisfaction, Blood Pressure and Weight, Medications, Work Environment, Social Network, Diabetes, Osteoarthritis, Health Locus of Control, Preventive Health Services, General Health, Functional Limitations, Memory Functioning, Smoking, Religious Beliefs and Practices, Links with Administrative Data, National Death Index searches for all nonrespondents * Dates of Study: 1946-2003 * Study Features: Longitudinal * Sample Size: 1,337 (1946) | questionnaire, longitudinal, precursor, morbidity, illness, health, behavior, family, career, retirement, job satisfaction, blood pressure, weight, medication, work environment, social network, preventive health services, functional limitation, memory, smoking, religion, death, adult human, early adult human, middle adult human, late adult human |
is related to: National Archive of Computerized Data on Aging (NACDA) has parent organization: Johns Hopkins University School of Medicine; Baltimore, Maryland; USA |
Aging, Cardiovascular disease, Hypertension, Diabetes, Osteoarthritis | NIA | nlx_157767 | SCR_010483 | 2026-07-27 09:33:45 | 0 | |||||||
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CRISPOR Resource Report Resource Website 1000+ mentions |
CRISPOR (RRID:SCR_015935) | web application, software resource | Web application that helps design, evaluate and clone guide sequences for the CRISPR/Cas9 system. This sgRNA design tool assists with guide selection in a variety of genomes and pre-calculated results for all human coding exons as a UCSC Genome Browser track. | rna, sg, sgrna, crispr, genome, off-target, prediction, accuracy, clone, cas9, coding, exon | is related to: UCSC Genome Browser | MRC 53658; NIH Office of the Director U42 OD011174; NHGRI U41 HG002371; NCI U54 HG007990; California Institute of Regenerative Medicine GC1R-06673C; Agence Nationale pour la Recherche ; Fondation pour la Recherche Médicale DEQ20140329544 |
PMID:27380939 | Free, Available for download | https://github.com/maximilianh/crisporWebsite | SCR_015935 | 2026-07-27 09:35:10 | 1320 | |||||||
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Body Mass Index Calculator Resource Report Resource Website |
Body Mass Index Calculator (RRID:SCR_000122) | BMI Calculator | analysis service resource, service resource, data analysis service, production service resource | Body Mass Index (BMI) for adults can be calculated using only height and weight. Body mass index (BMI) is a measure of body fat based on height and weight that applies to adult men and women. | adult human, body mass, male, female |
is listed by: NIDDK Information Network (dkNET) is listed by: Genetic Analysis Software has parent organization: National Heart Lung and Blood Institute |
NHLBI | Free, Public | nlx_152731 | SCR_000122 | Calculate Your Body Mass Index | 2026-07-27 09:30:52 | 0 | ||||||
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HOMOZYGOSITYMAPPER Resource Report Resource Website 100+ mentions |
HOMOZYGOSITYMAPPER (RRID:SCR_001714) | HomozygosityMapper | analysis service resource, service resource, data analysis service, production service resource | A web-based approach of homozygosity mapping that can handle tens of thousands markers. User can upload their own SNP genotype files to the database. Intuitive graphic interface is provided to view the homozygous stretches, with the ability of zooming into single chromosomes or user-defined chromosome regions. The underlying genotypes in all samples are displayed. The software is also integrated with our candidate gene search engine, GeneDistiller, so that users can interactively determine the most promising gene. (entry from Genetic Analysis Software) | gene, genetic, genomic, perl, genotype, homozygosity score, homozygosity, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
PMID:19465395 | Free, Freely Available | nlx_154069, biotools:homozygositymapper, OMICS_00123 | https://bio.tools/homozygositymapper | SCR_001714 | 2026-07-27 09:31:17 | 121 | ||||||
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Phevor Resource Report Resource Website 1+ mentions |
Phevor (RRID:SCR_002273) | Phevor | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Tool that integrates phenotype, gene function, and disease information with personal genomic data for improved power to identify disease-causing alleles. It works by combining knowledge resident in multiple biomedical ontologies with the outputs of variant prioritization tools. It does so using an algorithm that propagates information across and between ontologies. This process enables Phevor to accurately reprioritize potentially damaging alleles identified by variant prioritization tools in light of gene function, disease, and phenotype knowledge. Phevor is especially useful for single exome and family trio-based diagnostic analyses, the most commonly occurring clinical scenarios, and ones for which existing personal-genomes diagnostic tools are most inaccurate and underpowered. Phevor not only improves diagnostic accuracy for individuals presenting with established disease phenotypes, but also for those with previously undescribed and atypical disease presentations. Importantly, Phevor is not limited to known diseases, or known disease-causing alleles. | genome interpretation, variant prioritization, disease gene prioritization, phenotype, gene function, disease, genomic, disease-causing allele, gene, function, allele | has parent organization: University of Utah School of Medicine; Utah; USA | PMID:24702956 | THIS RESOURCE IS NO LONGER IN SERVICE | SciRes_000139 | SCR_002273 | Phenotype Driven Variant Ontological Re-Ranking Tool | 2026-07-27 09:31:26 | 9 | ||||||
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MADELINE Resource Report Resource Website 1+ mentions |
MADELINE (RRID:SCR_001979) | MADELINE | software application, service resource, software resource | Software tool designed for preparing, visualizing, and exploring human pedigree data used in genetic linkage studies. It converts pedigree and marker data into formats required by popular linkage analysis packages, provides powerful ways to query pedigree data sets, and produces Postscript pedigree drawings that are useful for rapid data review. | gene, genetic, genomic, c, unix, solaris, freebsd, openbsd, macos, ms-windows, cygwin, linux, pedigree, draw, linkage association, family association |
is listed by: OMICtools is listed by: Genetic Analysis Software has parent organization: University of Michigan; Ann Arbor; USA |
PMID:17488757 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154446, OMICS_00210 | http://eyegene.ophthy.med.umich.edu/#madeline | SCR_001979 | Madeline | 2026-07-27 09:31:21 | 5 | |||||
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WegoLoc Resource Report Resource Website 1+ mentions |
WegoLoc (RRID:SCR_001402) | WegoLoc | analysis service resource, service resource, data analysis service, production service resource | Data analysis service that predicts protein subcellular localizations of animal, fungal, plant, and human proteins based on sequence similarity and gene ontology information. | subcellular localization, protein |
is listed by: OMICtools is related to: Gene Ontology |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01636 | SCR_001402 | weighted gene ontology term based subcellular locallization prediction | 2026-07-27 09:31:11 | 4 | |||||||
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Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | analysis service resource, service resource, data analysis service, production service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-07-27 09:31:39 | 25 | ||||
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Human Gene Connectome Server Resource Report Resource Website 1+ mentions |
Human Gene Connectome Server (RRID:SCR_002627) | HGCS | analysis service resource, service resource, data analysis service, production service resource | An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways. | gene, disease, phenotype, genome, connectome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Human Gene Connectome |
PMID:23509278 | Free | nlx_156049, biotools:hgcs | https://bio.tools/hgcs | SCR_002627 | 2026-07-27 09:31:36 | 5 | ||||||
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DepressionTools.org Clinical Significance Calculator Resource Report Resource Website |
DepressionTools.org Clinical Significance Calculator (RRID:SCR_003873) | DepressionTools.org | analysis service resource, service resource, data analysis service, production service resource | Online instrument that estimates whether a biomarker predicting outcome of depression treatment is likely to be clinically significant. | biomarker, clinical significance, treatment, clinical, outcome, software as a service, binary, genetic, continuous, effect size |
uses: Hamilton Rating Scale for Depression has parent organization: NEWMEDS |
Depressive Disorder | PMID:22256872 | nlx_158198 | SCR_003873 | Clinical Significance Calculator | 2026-07-27 09:31:52 | 0 | ||||||
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IMPACT Prognostic Calculator Resource Report Resource Website |
IMPACT Prognostic Calculator (RRID:SCR_004730) | IMPACT Prognostic Calculator | analysis service resource, service resource, data analysis service, production service resource | A calculator that calculates the prediction models for 6 month outcome after Traumatic Brain Injury. Based on extensive prognostic analysis the IMPACT investigators have developed prognostic models for predicting 6 month outcome in adult patients with moderate to severe head injury (Glasgow Coma Scale <=12) on admission. By entering the characteristics into the calculator, the models will provide an estimate of the expected outcome at 6 months. We present three models of increasing complexity (Core, Core + CT, Core + CT + Lab). These models were developed and validated in collaboration with the CRASH trial collaborators on large numbers of individual patient data (the IMPACT database). The models discriminate well, and are particularly suited for purposes of classification and characterization of large cohorts of patients. Extreme caution is required when applying the estimated prognosis to individual patients. The sequential prediction models may be used as an aid to estimate 6 month outcome in patients with severe or moderate traumatic brain injury (TBI). However, the prediction rule can only complement, never replace, clinical judgment and can therefore be used only as a decision-support system. | traumatic brain injury, head injury, brain injury, adult, human, severe, moderate, glasgow coma scale, one mind tbi | has parent organization: IMPACT: International Mission for Prognosis and Analysis of Clinical Trials in TBI | Traumatic brain injury | NINDS NS 42691 | nlx_143884 | SCR_004730 | International Mission for Prognosis and Analysis of Clinical Trials in TBI Prognostic Calculator | 2026-07-27 09:32:06 | 0 | ||||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | analysis service resource, service resource, data analysis service, production service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-07-27 09:31:57 | 19 | ||||
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Spliceman Resource Report Resource Website 1+ mentions |
Spliceman (RRID:SCR_005354) | Spliceman | analysis service resource, service resource, data analysis service, production service resource | An online tool that takes a set of DNA sequences with point mutations and returns a ranked list to predict the effects of point mutations on pre-mRNA splicing. The current implementation includes 11 genomes: human, chimp, rhesus, mouse, rat, dog, cat, chicken, guinea pig, frog and zebrafish. | dna sequence, pre-mrna, splicing, pre-mrna splicing, point mutation, mutation, sequence variation, fasta |
is listed by: OMICtools has parent organization: Brown University; Rhode Island; USA |
PMID:22328782 | Free, Non-commercial, Commercial use requires license | OMICS_02259 | SCR_005354 | 2026-07-27 09:32:15 | 5 | |||||||
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GeneTerm Linker Resource Report Resource Website 1+ mentions |
GeneTerm Linker (RRID:SCR_006385) | GTLinker | analysis service resource, service resource, data analysis service, production 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 | 2026-07-27 09:32:32 | 2 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, service resource, data analysis service, production service resource | A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, microarray, enrichment, genomic, proteomic, function, transcription factor, genomic localization, protein-protein interaction, coiled-coil domain, granzyme-b clevage site, motif, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: TRANSPATH is related to: TRANSFAC is related to: Gene Ontology has parent organization: Saarland University; Saarbrucken; Germany |
PMID:17526521 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:genetrail, OMICS_02236 | https://bio.tools/genetrail | SCR_006250 | 2026-07-27 09:32:30 | 106 |
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