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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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VIROME Resource Report Resource Website 10+ mentions |
VIROME (RRID:SCR_004362) | VIROME | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | A web-application designed for scientific exploration of metagenome sequence data collected from viral assemblages occurring within a number of different environmental contexts. The VIROME informatics pipeline focuses on the classification of predicted open-reading frames (ORFs) from viral metagenomes. The portal allows you to submit your viral metagenome to be processed through the VIROME analysis pipeline, and enable you to investigate your data via the VIROME user interface., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | open-reading frame, metagenome, virus, environment, sequence, library, genetic, polymorphism, orfan, environmental sequencing, shotgun metagenomics, viral ecology, function, taxonomy, peptide, blast |
is listed by: OMICtools is related to: UniRef is related to: CAMERA is related to: Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis has parent organization: University of Delaware; Delaware; USA has parent organization: University of Maryland School of Medicine; Maryland; USA |
Gordon and Betty Moore Foundation ; NSF award 0959894 |
PMID:23407591 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01506 | SCR_004362 | Viral Informatics Resource for Metagenome Exploration, Viral Informatics Resource for Metagenome Exploration - VIROME | 2026-02-16 09:46:22 | 22 | |||||
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Repository of molecular brain neoplasia data Resource Report Resource Website 1+ mentions |
Repository of molecular brain neoplasia data (RRID:SCR_004704) | REMBRANDT | data analysis service, analysis service resource, database, topical portal, portal, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, genetic, cancer, glioma, tumor, clinical genomics, functional genomics, clinical trial, genomics, gene expression, chromosomal aberration, clinical data, clinical, cellular pathway, gene ontology, molecule, brain, neoplasia, brain tumor, adult, pediatric, child, adolescent, gene expression profile, real time pcr assay, cgh array, snp array, sequence, tissue array, image, proteomic profile, treatment, protocol, molecular data, oncology, data mining, copy number array, gene expression array, secretion, kinase, membrane, gene-anomaly, translational research, personalized medicine, data integration, pathway, cell, phenotype |
is related to: Gene Ontology is related to: Glioma Molecular Dignostic Initiatives has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI ; NINDS |
PMID:19208739 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00230 | SCR_004704 | REMBRANDT (Repository of Molecular Brain Neoplasia Data), REMBRANDT - Repository of Molecular Brain Neoplasia Data, REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT) | 2026-02-16 09:46:22 | 2 | ||||
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SMART Resource Report Resource Website 5000+ mentions |
SMART (RRID:SCR_005026) | SMART | web service, data analysis service, analysis service resource, data access protocol, database, software resource, production service resource, service resource, data or information resource | Software tool for identification and annotation of genetically mobile domains and analysis of domain architectures. | extracellular, gene, genetic, genetically, genome, architecture, chromatin, domain, mobile, phyletic, protein, proteome, signaling, structure, taxonomic, tertiary, bio.tools, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is listed by: bio.tools is listed by: Debian is related to: Eukaryotic Linear Motif is related to: Conserved Domain Database is related to: GOTaxExplorer has parent organization: EMBL - Bork Group |
European Union | PMID:18978020 PMID:16381859 PMID:14681379 PMID:10592234 PMID:9847187 PMID:9600884 |
Free, Freely available | nif-0000-03471, biotools:smart | http://smart.embl-heidelberg.de/ https://bio.tools/smart |
SCR_005026 | Simple Modular Architecture Research Tool | 2026-02-16 09:46:26 | 6760 | ||||
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Hungarian Neurological-Psychiatric Biobank Resource Report Resource Website |
Hungarian Neurological-Psychiatric Biobank (RRID:SCR_003715) | NEPSYBANK | tissue bank, material resource, 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 | 2026-02-16 09:46:13 | 0 | |||||
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Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) Resource Report Resource Website 50+ mentions |
Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) | AMP T2D, T2DKP | data repository, database, storage service resource, topical portal, portal, service resource, data or information resource, disease-related portal | Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease. | type 2 diabetes, diabetes, knowledge, portal, database, repository, type II, diabetic, genetic, data, analysis, FASEB list |
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: Consortia-pedia is listed by: NIDDK Information Network (dkNET) is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus is related to: Type 1 Diabetes Knowledge Portal is related to: Common Metabolic Diseases Knowledge Portal has parent organization: Foundation for the National Institutes of Health has parent organization: Accelerating Medicines Partnership |
Type 2 diabetes, Diabetes | NIH ; University of Michigan ; Broad Institute ; Fundacion Carlos Slim ; NIDDK |
Free, Freely available | SCR_014533, nlx_157976 | http://www.nih.gov/science/amp/type2diabetes.htm | SCR_003743 | , AMP Diabetes, AMP, T2D, AMP-T2D, Type 2 Diabetes Knowledge Portal, Accelerating Medicines Partnership Type 2 Diabetes, Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal, The AMP-T2D Knowledge Portal, AMP T2D, AMP Type 2 Diabetes | 2026-02-16 09:46:14 | 79 | ||||
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Candidate Genes to Inherited Diseases Resource Report Resource Website 1+ mentions |
Candidate Genes to Inherited Diseases (RRID:SCR_008190) | G2D | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of candidate genes for mapped inherited human diseases. Candidate priorities are automatically established by a data mining algorithm that extracts putative genes in the chromosomal region where the disease is mapped, and evaluates their possible relation to the disease based on the phenotype of the disorder. Data analysis uses a scoring system developed for the possible functional relations of human genes to genetically inherited diseases that have been mapped onto chromosomal regions without assignment of a particular gene. Methodology can be divided in two parts: the association of genes to phenotypic features, and the identification of candidate genes on a chromosonal region by homology. This is an analysis of relations between phenotypic features and chemical objects, and from chemical objects to protein function terms, based on the whole MEDLINE and RefSeq databases. | function, gene, genetic, chromosome, disease, disorder, genome, homology, human, phenotype, protein, region, candidate gene, database, data warehouse, data set, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Molecular Biology Laboratory has parent organization: EMBL - Bork Group |
PMID:16115313 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21162, biotools:g2d | http://www.bork.embl-heidelberg.de/g2d/ http://www.ogic.ca/projects/g2d_2/ https://bio.tools/g2d |
SCR_008190 | G2D - Candidate Genes to Inherited Diseases, Genes2Diseases | 2026-02-16 09:47:07 | 2 | |||||
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NKI-RS Enhanced Sample Resource Report Resource Website 50+ mentions |
NKI-RS Enhanced Sample (RRID:SCR_010461) | Enhanced NKI-RS | data set, data or information resource | Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping. | demographic, multiband imaging, resting state fmri, diffusion tensor imaging, breath hold scan, eye movement calibration scan, visual stimulation scan, brain development, maturation, young human, late adult human, child, adolescent, adult human, image collection, pediatric, geriatric, behavior, cognitive, phentoyping, neuroimaging, dicom, nifti, multiband echo planar imaging, multiband resting state fmri, multiband diffusion tensor imaging, lifespan, physiological assessment, psychological assessment, genetic |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NKI/Rockland Sample is related to: NKI-RS Multiband Imaging Test-Retest Pilot Dataset is related to: Mind Research Network - COINS is related to: NIMH Repository and Genomics Resources has parent organization: Nathan S. Kline Institute for Psychiatric Research; New York; USA |
Aging | New York State Office of Mental Health and Research Foundation for Mental Hygiene ; Child Mind Institute 1FDN2012-1; NIMH R01MH094639-01; NIMH R01MH081218; NIMH R01MH083246; NIMH R21MH084126 |
Public, Data Usage Agreement | nlx_157649 | SCR_010461 | Enhanced Nathan Kline Institute - Rockland Sample | 2026-02-16 09:47:47 | 97 | |||||
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UPR Sabana Seca Field Station Caribbean Primate Research Center Resource Report Resource Website |
UPR Sabana Seca Field Station Caribbean Primate Research Center (RRID:SCR_010134) | CPRC SSF, SSF CPRC | service resource, core facility, access service resource | Core facility that provides the following services: Necropsy. The Sabana Seca Field Station (SSFS) is the administrative headquarters for the Caribbean Primate Research Center, or CPRC. This area contains offices, a clinic, and laboratories for reproductive biology and bone densitometry, necropsy and maintenance buildings. It houses rhesus monkeys from the CS colony or from the CS genetic line. | autopsy, rhesus, monkey, primate, genetic, necropsy, bone, reproduction, colony |
is listed by: Eagle I has parent organization: University of Puerto Rico; Puerto Rico; USA |
NIH Office of the Director U42 OD021458 | nlx_156612 | SCR_010134 | University of Puerto Rico Caribbean Primate Research Center, Sabana Seca CPRC, CPRC Sabana Seca Field Station | 2026-02-16 09:47:39 | 0 | |||||||
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Vietnam Era Twin Registry Resource Report Resource Website 1+ mentions |
Vietnam Era Twin Registry (RRID:SCR_008807) | VET Registry | patient registry, people resource, topical portal, portal, data or information resource | The Vietnam Era Twin (VET) Registry is a closed cohort composed of approximately 7,000 middle-aged male-male twin pairs both of whom served in the military during the time of the Vietnam conflict (1964-1975). The Registry is a United States Department of Veterans Affairs (VA) resource that was originally constructed from military records; the Registry has been in existence for almost 20 years. It is one of the largest national twin registries in the US and currently has members living in all 50 states. Initially formed to address questions about the long-term health effects of service in Vietnam, the Registry has evolved into a resource for genetic epidemiological studies of mental and physical health conditions. Several waves of mail and telephone surveys have collected a wealth of health-related information on Registry twins, referred to as members. In addition to twins, selected adult offspring of twins and the mothers of those offspring are also VET Registry members. More recent data collection efforts have focused on specific sets of twin pairs and have conducted detailed clinical or laboratory testing. Selected Vietnam Era Registry Research Studies: * Veteran Health Study * VETSA 2: A Longitudinal Study of Cognitive Aging * Alcoholism Course thought Midlife: A Twin Family Study and Offspring of Twins: G, E and GxE Risk for Alcoholism * GE: Offspring of Twins with Substance Use Disorder * Mechanisms Linking Depression to Cardiovascular Risk (Twins Heart Study 2) * Post-traumatic Stress Disorder and Cardiovascular Disease * Biological Markers for Post-traumatic Stress Disorder (T3) * Memory and the Hippocampus in Vietnam-era Twins with PTSD (Time 3) | twin, male, adult, gene, genetic, post-traumatic stress disorder, cardiovascular disease, child, mother, human, substance-related disorder, depressive disorder, memory, hippocampus, mental health, physical health, epidemiology |
has parent organization: U.S. Department of Veterans Affairs is parent organization of: Vietnam Era Twin Registry Biospecimen Repository |
Aging | nlx_144388 | SCR_008807 | 2026-02-16 09:47:16 | 2 | ||||||||
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Human Genome Epidemiology Network Resource Report Resource Website 10+ mentions |
Human Genome Epidemiology Network (RRID:SCR_013117) | data or information resource, organization portal, portal | Human Genome Epidemiology Network, or HuGENet, is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. Its goals include: establishing an information exchange that promotes global collaboration in developing peer-reviewed information on the relationship between human genomic variation and health and on the quality of genetic tests for screening and prevention; providing training and technical assistance to researchers and practitioners interested in assessing the role of human genomic variation on population health and how such information can be used in practice; developing an updated and accessible knowledge base on the World Wide Web; and promoting the use of this knowledge base by health care providers, researchers, industry, government, and the public for making decisions involving the use of genetic information for disease prevention and health promotion. HuGENet collaborators come from multiple disciplines such as epidemiology, genetics, clinical medicine, policy, public health, education, and biomedical sciences. Currently, there are 4 HuGENet Coordinating Centers for the implementation of HuGENet activities: CDC''s Office of Public Health Genomics, Atlanta, Georgia; HuGENet UK Coordinating Center, Cambridge, UK; University of Ioannina, Greece; University of Ottawa , Ottawa, Canada. HuGENet includes: HuGE e-Journal Club: The HuGE e-Journal Club is an electronic discussion forum where new human genome epidemiologic (HuGE) findings, published in the scientific literature in the CDC''s Office of Public Health Genomics Weekly Update, will be abstracted, summarized, presented, and discussed via a newly created HuGENet listserv. HuGE Reviews: A HuGE Review identifies human genetic variations at one or more loci, and describes what is known about the frequency of these variants in different populations, identifies diseases that these variants are associated with and summarizes the magnitude of risks and associated risk factors, and evaluates associated genetic tests. Reviews point to gaps in existing epidemiologic and clinical knowledge, thus stimulating further research in these areas. HuGE Fact Sheets: HuGE Fact Sheets summarize information about a particular gene, its variants, and associated diseases. HuGE Case Studies: An on-line presentation designed to sharpen your epidemiological skills and enhance your knowledge on genomic variation and human diseases. Its purpose is to train health professionals in the practical application of human genome epidemiology (HuGE), which translates gene discoveries to disease prevention by integrating population-based data on gene-disease relationships and interventions. Students will acquire conceptual and practical tools for critically evaluating the growing scientific literature in specific disease areas. HUGENet Publications: Articles related to the HuGENet movement written by our HuGENet collaborators. HuGE Navigator: An integrated, searchable knowledge base of genetic associations and human genome epidemiology, including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. HuGE Workshops: HuGENet has sponsored meetings and workshops with national and international partners since 2001. Available are detailed summaries, agendas or the ability to download speaker slides. HuGE Book: Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease. (The findings and conclusions in this book are those of the author(s) and do not necessarily represent the views of the funding agency.) HuGENet Collaborators: HuGENet is interested in establishing collaborations with individuals and organizations working on population based research involving genetic information. HuGE Funding: Funding opportunities for specific population-based genetic epidemiology research projects are available. Research initiatives whose aims include assessing the prevalence of human genetic variation, the association between genetic variants and human diseases, the measurement of gene-gene or gene-environment interaction, and the evaluation of genetic tests for screening and prevention are compiled to create a posted listing. Additional information and application details can be found by clicking on the respective links. | epidemiology, gene, genetic, genetic variants, genome, articles, collaboration, disease, disease prevention, genomics, health promotion, human, human diseases | has parent organization: Centers for Disease Control and Prevention | nif-0000-00574 | SCR_013117 | HuGENet | 2026-02-16 09:48:17 | 25 | |||||||||
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SVA Resource Report Resource Website 10+ mentions |
SVA (RRID:SCR_002155) | SVA | software application, software resource, commercial organization | Software package to annotate, visualize, and analyze the genetic variants identified through next-generation sequencing studies, including whole-genome sequencing (WGS) and exome sequencing studies. SVA aims to provide the research community with a user-friendly and efficient tool to analyze large amount of genetic variants, and to facilitate the identification of the genetic causes of human diseases and related traits. | gene, genetic, genomic, annotate, visualize, genetic variant, next-generation sequencing, whole-genome sequencing, exome, sequencing, genome, disease, trait, bio.tools |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Duke University School of Medicine; North Carolina; USA |
PMID:21624899 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154666, OMICS_00190, biotools:sequencevariantanalyzer | http://www.svaproject.org/ https://bio.tools/sequencevariantanalyzer |
SCR_002155 | Sequence Variant Analyzer, SVA: Sequence Variant Analyzer | 2026-02-16 09:45:39 | 16 | |||||
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Simons Foundation Autism Research Initiative: Grant Resource Resource Report Resource Website |
Simons Foundation Autism Research Initiative: Grant Resource (RRID:SCR_001862) | funding resource, job resource | The mission of SFARI is to improve the diagnosis, treatment, and prevention of autism and related developmental disorders. SFARI explores neuroscience from multiple directions, including molecular, cellular, systems, immunological, cognitive, behavioral, genetic, theoretical and computational perspectives. Funding for innovative scientific research is available through a peer-reviewed proposal process at regular intervals. Research projects are reviewed by a scientific advisory board and managed by the scientific director and a highly qualified staff. Proposals in multiple research areas are sought, to reflect the complex nature of autism. The Foundation supports innovative scientific projects where our involvement will play an essential role. In the course of this support, The Foundation is interested in partnering with other entities, or providing matching support where appropriate. The Simons Foundation has historically accepted only solicited grant proposals. These grant decisions are made by the Trustees of The Simons Foundation, who review applications on an ongoing basis. In the area of autism research, requests for proposals are issued on an annual basis. The Simons Foundation does not give grants to individuals, except through their institutions. | genetic, autism, behavioral, cellular, cognitive, computational, developmental disorder, diagnosis, direction, molecular, neuroscience, prevention, system immunological, theoretical, treatment | nif-0000-10428 | http://sfari.org/funding/grants/2013-rfa | SCR_001862 | SFARI Grants | 2026-02-16 09:45:35 | 0 | |||||||||
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POPGEN Resource Report Resource Website 100+ mentions |
POPGEN (RRID:SCR_007315) | software application, software resource | An R package that specifically focuses on statistical and population genetics methods. The motivation behind the package is to produce an easy to use interface to many of the commonly used methods and models used in statistical and population genetics and an alternative interface for some of the methodology produced by our group. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154543, SCR_009374, nlx_154596 | http://mathgen.stats.ox.ac.uk/software.html, https://cran.r-project.org/web/packages/popgen/index.html | SCR_007315 | R/POPGEN | 2026-02-16 09:46:56 | 198 | ||||||||
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EHP Resource Report Resource Website |
EHP (RRID:SCR_009170) | software application, software resource | Software application that provides variance estimates for haplotype frequency estimates, it allows several kinds of missing information in the genotype data, it also allows for combined genotype data of different pool sizes. This program can be used for testing haplotype-disease associations in case control studies by calculating the likelihood ratio test: 2 log(likelihood for cases) + 2 log(likelihood for controls) - 2 log(likelihood for case+controls). (entry from Genetic Analysis Software) | gene, genetic, genomic, r/s-plus | is listed by: Genetic Analysis Software | SCR_009101, nlx_154293, nlx_154194 | SCR_009170 | Estimation of Haplotype frequencies from Pooled DNA samples EH, R/EHP, EHP.R | 2026-02-16 09:47:21 | 0 | |||||||||
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R/ONEMAP Resource Report Resource Website 10+ mentions |
R/ONEMAP (RRID:SCR_009371) | software application, software resource | Software environment for constructing linkage maps in outcrossing plant species, using full-sib families derived from two outbreed (non-inbreeding) parent plants. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154502, SCR_009312, nlx_154593 | http://www.ciagri.usp.br/~aafgarci/OneMap/ | SCR_009371 | ONEMAP | 2026-02-16 09:47:23 | 22 | ||||||||
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Short Course on the Genetics of Addiction Resource Report Resource Website |
Short Course on the Genetics of Addiction (RRID:SCR_005560) | Genetics of Addiction | short course, training resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This course emphasizes genetic applications and approaches to drug addiction research through methodological instruction based on literature, data sets and informatics resources drawn from studies of addiction related phenotypes. The course includes plenary sessions on major progress in addiction genetics, and discussion sessions in which students present their work for discussion on applications of genetic methods. Students will leave the course able to design and interpret genetic and genomic studies of addiction as they relate to their specific research question, and will be able to make use of current bioinformatics resources to identify research resources and make use of public data sources in their own research. | addiction, gene, genetic, genomic, addiction, drug | has parent organization: Jackson Laboratory | Drug addiction | Howard Hughes Medical Institute ; NIDA R13 DA 032192 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_146202 | SCR_005560 | 2026-02-16 09:46:29 | 0 | ||||||
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R/HAPASSOC Resource Report Resource Website |
R/HAPASSOC (RRID:SCR_009365) | software application, software resource | Software application using a likelihood approach to inference of haplotype and nongenetic effects and their interactions in generalized linear models of disease penetrance, when haplotype phase is unknown for some subjects. Parameter estimates are obtained by use of an expectation-maximization (EM) algorithm and standard errors are calculated using Louis'' formula. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154587, SCR_009219, nlx_154374 | http://stat-db.stat.sfu.ca:8080/statgen/research/hapassoc | SCR_009365 | HAPASSOC | 2026-02-16 09:47:23 | 0 | ||||||||
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FASTMAP (1) Resource Report Resource Website |
FASTMAP (1) (RRID:SCR_008346) | FASTMAP (1) | software application, software resource, software toolkit | Fluorescent allele-calling software toolkit: a computer software for fully automated microsatellite genotyping. (entry from Genetic Analysis Software) | gene, genetic, genomic, unix, macos, matlab, programming environment is required. | is listed by: Genetic Analysis Software | nlx_154310 | SCR_008346 | Fluorescent Allele-calling Software Toolkit: Microsatellite Automation Package | 2026-02-16 09:47:10 | 0 | ||||||||
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Tree-Based Pipeline Optimization Tool Resource Report Resource Website 1+ mentions |
Tree-Based Pipeline Optimization Tool (RRID:SCR_017531) | TPOT | software resource, software toolkit | Software Python package to automate building of ML pipelines by combining flexible expression tree representation of pipelines with stochastic search algorithms such as genetic programming. | Automated, machine, learning, optimize, pipeline, genetic, programming | NIAID R01 AI117694 | Free, Available for download, Freely available | SCR_017532 | https://epistasislab.github.io/tpot/ https://github.com/EpistasisLab/tpot |
SCR_017531 | Tree based Pipeline Optimization Tool | 2026-02-16 09:49:15 | 1 | ||||||
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Wiring the Brain Resource Report Resource Website |
Wiring the Brain (RRID:SCR_005528) | Wiring the Brain | data or information resource, blog, narrative resource | This blog highlights and comments on current research and hypotheses relating to how the brain wires itself up during development, how the end result can vary in different people and what happens when it goes wrong. It includes discussions of the genetic and neurodevelopmental bases of traits such as intelligence and personality characteristics, as well as of conditions such as schizophrenia, autism, dyslexia, epilepsy, synaesthesia and others. | research, brain, development, genetic, wiring, neurodevelopment, trait, intelligence, personality, schizophrenia, autism, dyslexia, epilepsy, synaesthesia | Schizophrenia, Autism, Dyslexia, Epilepsy, Synaesthesia, Etc. | nlx_144622 | SCR_005528 | 2026-02-16 09:46:40 | 0 |
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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.
