Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
HOMOZYGOSITYMAPPER Resource Report Resource Website 100+ mentions |
HOMOZYGOSITYMAPPER (RRID:SCR_001714) | HomozygosityMapper | service resource, analysis 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 | 2026-02-15 09:18:09 | 121 | ||||||
|
Phevor Resource Report Resource Website 1+ mentions |
Phevor (RRID:SCR_002273) | Phevor | service resource, analysis 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 | 2026-02-15 09:18:16 | 9 | ||||||
|
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 | 2026-02-15 09:18:13 | 5 | |||||
|
ACGT Inc. Resource Report Resource Website |
ACGT Inc. (RRID:SCR_001026) | ACGT | service resource, analysis service resource, production service resource | Company which provides a suite of molecular biology and genomic services, including DNA sequencing by Sanger and Next Generation Sequencing. All services are offered at a research, GLP or clinical grade levels. | commercial, molecular biology, bioinformatics, genomic, service, dna sequencing | is listed by: ScienceExchange | Restricted | SciEx_10623 | http://www.scienceexchange.com/facilities/acgt-inc | SCR_001026 | 2026-02-15 09:18:02 | 0 | |||||||
|
Ancestrymap Resource Report Resource Website 10+ mentions |
Ancestrymap (RRID:SCR_004353) | ANCESTRYMAP | software application, source code, software resource | Software application that finds skews in ancestry that are potentially associated with disease genes in recently mixed populations like African Americans. It can be downloaded for either UNIX or Linux. | disease gene, ancestry, gene, genomic, unix, linux, admixture mapping, admixture, genome, linkage disequilibrium, population |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools has parent organization: Harvard Medical School; Massachusetts; USA |
Burroughs Wellcome Fund ; NHGRI K-01 HG002758-01 |
PMID:15088269 | Restricted | nlx_39116, biotools:ancestrymap, OMICS_02083 | https://reich.hms.harvard.edu/software https://bio.tools/ancestrymap |
http://genepath.med.harvard.edu/~reich/Software.htm, http://genetics.med.harvard.edu/reich/Reich_Lab/Software.html | SCR_004353 | 2026-02-15 09:18:45 | 12 | ||||
|
La Jolla Interdisciplinary Neurosciences Center Resource Report Resource Website |
La Jolla Interdisciplinary Neurosciences Center (RRID:SCR_002772) | La Jolla Neuroscience Center Cores | material service resource, service resource, production service resource, material analysis service, access service resource, biomaterial analysis service, analysis service resource | Our NINDS Center Core Grant supports centralized resources and facilities shared by investigators with existing NINDS-funded research projects. Our Center is composed of three research cores, each of which will enrich the effectiveness of ongoing research, and promote new research directions. The three Core facilities support Electrophysiology, Neuropathology / Histology, and High-Throughput/High-Content Chemical and Genomic Library screening. By making these important Core Services available to the local Neuroscience community, the La Jolla Neurosciences Program hopes to promote the study of how the nervous system works and develop treatments for nervous system diseases. The cores and their services are available to La Jolla neuroscientists. Core services are available to NINDS-supported neuroscience projects from local investigators as well as young neuroscientists prior to obtaining their first NIH-funded grant. * Electrophysiology: SBMRI Electrophysiology ** The Electrophysiology Core consists of the Sanford-Burnham Electrophysiology Facility. This facility can perform patch-clamp intracellular and extracellular field recordings on a range of material including cultured cells and brain slices. The Sanford-Burnham facility emphasizes electrophysiological analysis of cultured cells and the detailed electrical properties of channels, receptors and recombinant proteins expressed in Xenopus oocytes or mammalian cells. * Neuropathology: UCSD Neuropathology ** The Neuropathology laboratory applies immunocytochemistry, neurochemistry, molecular genetics, transgenic models of disease, and imaging by scanning laser confocal microscopy to analysis of neurological disease in animal models. * Chemical Library Screening: SBIMR Assay Development, SBIMR Chemical Library Screening, SBIMR Cheminformatics, SBIMR High-content Screening ** The Chemical Library Screening core offers high-throughput screening (HTS) of biochemical and cell-based array using traditional HTS readouts and automated microscopy for high-content screening (HCS)> These facilities also offer array development and screening, as well as cheminformatics and medicinal chemistry., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | neuroscience, nervous system, electrophysiology, neuropathology, histology, high-throughput screening, high-content screening, chemical, genomic, chemical library screening, cheminformatics, medicinal chemistry |
has parent organization: University of California at San Diego; California; USA has parent organization: Sanford Burnham Prebys Medical Discovery Institute |
Nervous system disease | NINDS ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00436 | SCR_002772 | La Jolla Interdisciplinary Neuroscience Center Core (Burnham-Salk-Scripps-UCSD) | 2026-02-15 09:18:22 | 0 | |||||
|
Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | organization portal, portal, laboratory portal, research forum portal, data or information resource, topical portal, disease-related portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on June 8, 2020.Macaque genomic and proteomic resources and how they are providing important new dimensions to research using macaque models of infectious disease. The research encompasses a number of viruses that pose global threats to human health, including influenza, HIV, and SARS-associated coronavirus. By combining macaque infection models with gene expression and protein abundance profiling, they are uncovering exciting new insights into the multitude of molecular and cellular events that occur in response to virus infection. A better understanding of these events may provide the basis for innovative antiviral therapies and improvements to vaccine development strategies. | genomic, hiv, infection, proteomic, virus, simian immunodeficiency virus, influenza virus, animal model | has parent organization: University of Washington; Seattle; USA | Viral infection, Infectious disease | NCRR ; NIAID ; NHLBI ; NIDA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24370 | SCR_002767 | Macaque.org | 2026-02-15 09:18:22 | 3 | |||||
|
Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | portal, data analysis service, database, organism-related portal, service resource, production service resource, data or information resource, image collection, topical portal, analysis service resource | Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network. | gene, genomic, expressed sequence tag, blast, model organism, genome, salamander, animal model, genetic map, genetic marker, gene expression, limb regeneration, microarray, quantitative-pcr, rna-seq, nanostring, husbandry, embryo, limb, mutant, strain, neural, olfaction, phentotype, regeneration, renal, retina, sequence, vision, human, chicken, xenopus tropicalis, FASEB list | has parent organization: University of Kentucky; Kentucky; USA | NSF OB0242833; NSF DBI0443496; NCRR R24 RR016344; NIH Office of the Director R24 OD010435 |
PMID:16359543 | Free, Freely available | nif-0000-25309 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_002850 | Ambystoma Resources for Model Amphibians Database | 2026-02-15 09:18:25 | 92 | ||||
|
GenePattern Resource Report Resource Website 1000+ mentions |
GenePattern (RRID:SCR_003201) | GenePattern | software application, data processing software, data analysis software, software resource | A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research. | gene expression, analysis, genomic, pattern, proteomics, silico, snp, workflow, analysis pipeline, flow cytometry, rna-seq, data processing, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is affiliated with: GenePattern Notebook is related to: TIGRESS has parent organization: Broad Institute |
NCI ; NIGMS |
PMID:16642009 | Free, Freely available | biotools:genepattern, OMICS_01855, nif-0000-30654 | https://bio.tools/genepattern | SCR_003201 | 2026-02-15 09:18:28 | 1078 | |||||
|
Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | atlas, data or information resource, reference atlas, data set | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-02-15 09:18:30 | 0 | |||
|
Mouse Genome Databases Resource Report Resource Website 1+ mentions |
Mouse Genome Databases (RRID:SCR_007147) | MGD | portal, database, organism-related portal, data set, data or information resource, topical portal | A mouse-related portal of genomic databases and tables of mouse brain data. Most files are intended for you to download and use on your own personal computer. Most files are available in generic text format or as FileMaker Pro databases. The server provides data extracted and compiled from: The 2000-2001 Mouse Chromosome Committee Reports, Release 15 of the MIT microsatellite map (Oct 1997), The recombinant inbred strain database of R.W. Elliott (1997) and R. W. Williams (2001), and the Map Manager and text format chromosome maps (Apr 2001). * LXS genotype (Excel file): Updated, revised positions for 330 markers genotyped using a panel of 77 LXS strain. * MIT SNP DATABASE ONLINE: Search and sort the MIT Single Nucleotide Polymorphism (SNP) database ONLINE. These data from the MIT-Whitehead SNP release of December 1999. * INTEGRATED MIT-ROCHE SNP DATABASE in EXCEL and TEXT FORMATS (1-3 MB): Original MIT SNPs merged with the new Roche SNPs. The Excel file has been formatted to illustrate SNP haplotypes and genetic contrasts. Both files are intended for statistical analyses of SNPs and can be used to test a method outlined in a paper by Andrew Grupe, Gary Peltz, and colleagues (Science 291: 1915-1918, 2001). The Excel file includes many useful equations and formatting that will help in navigating through this large database and in testing the in silico mapping method. * Use of inbred strains for the study of individual differences in pain related phenotypes in the mouse: Elissa J. Chesler''s 2002 dissertation, discussing issues relevant to the integration of genomic and phenomic data from standard inbred strains including genetic interactions with laboratory environmental conditions and the use of various in silico inbred strain haplotype based mapping algorithms for QTL analysis. * SNP QTL MAPPER in EXCEL format (572 KB, updated January 2002 by Elissa Chesler): This Excel workbook implements the Grupe et al. mapping method and outputs correlation plots. The main spreadsheet allows you to enter your own strain data and compares them to haplotypes. Be very cautious and skeptical when using this spreadsheet and the technique. Read all of the caveates. This excel version of the method was developed by Elissa Chesler. This updated version (Jan 2002) handles missing data. * MIT SNP Database (tab-delimited text format): This file is suitable for manipulation in statistics and spreadsheet programs (752 KB, Updated June 27, 2001). Data have been formatted in a way that allows rapid acquisition of the new data from the Roche Bioscience SNP database. * MIT SNP Database (FileMaker 5 Version): This is a reformatted version of the MIT Single Nucleotide Polymorphism (SNP) database in FileMaker 5 format. You will need a copy of this application to open the file (Mac and Windows; 992 KB. Updated July 13, 2001 by RW). * Gene Mapping and Map Manager Data Sets: Genetic maps of mouse chromosomes. Now includes a 10th generation advanced intercross consisting of 500 animals genetoyped at 340 markers. Lots of older files on recombinant inbred strains. * The Portable Dictionary of the Mouse Genome, 21,039 loci, 17,912,832 bytes. Includes all 1997-98 Chromosome Committee Reports and MIT Release 15. * FullDict.FMP.sit: The Portable Dictionary of the Mouse Genome. This large FileMaker Pro 3.0/4.0 database has been compressed with StuffIt. The Dictionary of the Mouse Genome contains data from the 1997-98 chromosome committee reports and MIT Whitehead SSLP databases (Release 15). The Dictionary contains information for 21,039 loci. File size = 4846 KB. Updated March 19, 1998. * MIT Microsatellite Database ONLINE: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. ONLINE. Updated July 12, 2001. * MIT Microsatellite Database: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. File size = 3.0 MB. Updated March 19, 1998. * OurPrimersDB: A small database of primers. Download this database if you are using numerous MIT primers to map genes in mice. This database should be used in combination with the MITDB as one part of a relational database. File size = 149 KB. Updated March 19, 1998. * Empty copy (clone) of the Portable Dictionary in FileMaker Pro 3.0 format. Download this file and import individual chromosome text files from the table into the database. File size = 231 KB. Updated March 19, 1998. * Chromosome Text Files from the Dictionary: The table lists data on gene loci for individual chromosomes. | gene, genetic, chromosome, genotype, inbred mouse strain, pain, phenotype, polygenic, recombinant, trait, genome, genomic, single nucleotide polymorphism, primer, brain, recombinant inbred mouse strain | has parent organization: University of Tennessee Health Science Center; Tennessee; USA | nif-0000-20982 | SCR_007147 | 2026-02-15 09:19:28 | 2 | |||||||||
|
Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | topical portal, data or information resource, database, portal | The initial objective of Genoscope was to compare the genomic sequences of this fish to that of humans to help in the annotation of human genes and to estimate their number. This strategy is based on the common genetic heritage of the vertebrates: from one species of vertebrate to another, even for those as far apart as a fish and a mammal, the same genes are present for the most part. In the case of the compact genome of Tetraodon, this common complement of genes is contained in a genome eight times smaller than that of humans. Although the length of the exons is similar in these two species, the size of the introns and the intergenic sequences is greatly reduced in this fish. Furthermore, these regions, in contrast to the exons, have diverged completely since the separation of the lineages leading to humans and Tetraodon. The Exofish method, developed at Genoscope, exploits this contrast such that the conserved regions which can be identified by comparing genomic sequences of the two species, correspond only to coding regions. Using preliminary sequencing results of the genome of Tetraodon in the year 2000, Genoscope evaluated the number of human genes at about 30,000, whereas much higher estimations were current. The progress of the annotation of the human genome has since supported the Genoscope hypothesis, with values as low as 22,000 genes and a consensus of around 25,000 genes. The sequencing of the Tetraodon genome at a depth of about 8X, carried out as a collaboration between Genoscope and the Whitehead Institute Center for Genome Research (now the Broad Institute), was finished in 2002, with the production of an assembly covering 90 of the euchromatic region of the genome of the fish. This has permitted the application of Exofish at a larger scale in comparisons with the genome of humans, but also with those of the two other vertebrates sequenced at the time (Takifugu, a fish closely related to Tetraodon, and the mouse). The conserved regions detected in this way have been integrated into the annotation procedure, along with other resources (cDNA sequences from Tetraodon and ab initio predictions). Of the 28,000 genes annotated, some families were examined in detail: selenoproteins, and Type 1 cytokines and their receptors. The comparison of the proteome of Tetraodon with those of mammals has revealed some interesting differences, such as a major diversification of some hormone systems and of the collagen molecules in the fish. A search for transposable elements in the genomic sequences of Tetraodon has also revealed a high diversity (75 types), which contrasts with their scarcity; the small size of the Tetraodon genome is due to the low abundance of these elements, of which some appear to still be active. Another factor in the compactness of the Tetraodon genome, which has been confirmed by annotation, is the reduction in intron size, which approaches a lower limit of 50-60 bp, and which preferentially affects certain genes. The availability of the sequences from the genomes of humans and mice on one hand, and Takifugu and Tetraodon on the other, provide new opportunities for the study of vertebrate evolution. We have shown that the level of neutral evolution is higher in fish than in mammals. The protein sequences of fish also diverge more quickly than those of mammals. A key mechanism in evolution is gene duplication, which we have studied by taking advantage of the anchoring of the majority of the sequences from the assembly on the chromosomes. The result of this study speaks strongly in favor of a whole genome duplication event, very early in the line of ray-finned fish (Actinopterygians). An even stronger evidence came from synteny studies between the genomes of humans and Tetraodon. Using a high-resolution synteny map, we have reconstituted the genome of the vertebrate which predates this duplication - that is, the last common ancestor to all bony vertebrates (most of the vertebrates apart from cartilaginous fish and agnaths like lamprey). This ancestral karyotype contains 12 chromosomes, and the 21 Tetraodon chromosomes derive from it by the whole genome duplication and a surprisingly small number of interchromosomal rearrangements. On the contrary, exchanges between chromosomes have been much more frequent in the lineage that leads to humans. Sponsors: The project was supported by the Consortium National de Recherche en Genomique and the National Human Genome Research Institute. | duplication, element, euchromatic, evolution, exon, fish, gene, genetic, actinopterygians, aganth, ancestor, cartilaginous, cdna, chromosome, coding, collagen, cytokine, diversity, genome, genomic, heritage, hormone, human, interchromossomal, intergenic, intron, karyotype, lineage, mammal, molecule, mouse, nigroviridis, protein, proteome, pufferfish, receptor, region, selenoprotein, sequence, size, specie, synteny, system, takifugu, tetraodon, transposable, vertebrate | nif-0000-20997 | SCR_007079 | TGB | 2026-02-15 09:19:21 | 8 | ||||||||||
|
aneurIST Resource Report Resource Website 1+ mentions |
aneurIST (RRID:SCR_007427) | aneurIST | disease-related portal, topical portal, data or information resource, portal | Project focused on cerebral aneurysms and provides integrated decision support system to assess risk of aneurysm rupture in patients and to optimize their treatments. IT infrastructure has been developeded for management and processing of vast amount of heterogeneous data acquired during diagnosis. | gene, genetic, adult, cerebral aneurysm, cerebral brain hemorrhage, cerebral hemorrhage, cerebral parenchymal hemorrhage, cerebral hemorrhage, clinical, genomic, human, intracerebral hemorrhage, intracranial aneurysm, subarachnoid hemorrhage, risk, aneurysm rupture, patient, treatment, infrastructure, platform, genomics, disease, personalized risk assessment, bioinformatics, clinical, data management, data integration, data processing, software tool, cerebrum | has parent organization: Pompeu Fabra University; Barcelona; Spain | Cerebral aneurysm, Subarachnoid hemorrhage, Aging | European Union ; Sixth FPPriority 2 of the Information Society Technologies IST |
nif-0000-00538 | http://www.cilab.upf.edu/aneurist1/ | SCR_007427 | aneurIST - Integrated Biomedical Informatics for the Management of Cerebral Aneurysms, (at)neurIST, (at)neurIST - Integrated Biomedical Informatics for the Management of Cerebral Aneurysms | 2026-02-15 09:19:45 | 3 | |||||
|
R/TDTHAP Resource Report Resource Website 1+ mentions |
R/TDTHAP (RRID:SCR_007625) | software application, software resource | Software package for TDT with extended haplotypes in the R language. R is the public domain dialect of S. It should be possible to port this library to the commercial Splus product. The main problem would be translation of the help files. (entry from Genetic Analysis Software) | gene, genetic, genomic, r/splus | is listed by: Genetic Analysis Software | nlx_154676, nlx_154602, SCR_000851 | http://www-gene.cimr.cam.ac.uk/clayton/software/ | SCR_007625 | TDTHAP | 2026-02-15 09:19:39 | 1 | ||||||||
|
Allen Human Brain Atlas Resource Report Resource Website 100+ mentions |
Allen Human Brain Atlas (RRID:SCR_007416) | software application, data visualization software, database, software resource, data processing software, atlas, data or information resource | Multi modal atlas of human brain that integrates anatomic and genomic information, coupled with suite of visualization and mining tools to create open public resource for brain researchers and other scientists. Data include magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), histology and gene expression data derived from both microarray and in situ hybridization (ISH) approaches. Brain Explorer 2 is desktop software application for viewing human brain anatomy and gene expression data in 3D. | atlas, human, brain, anatomic, genomic, data, visualization, mining, tool, MRI, DTI, histology, gene, expression |
is related to: Speech Language Disorders Database has parent organization: Allen Institute for Brain Science has parent organization: Allen Brain Atlas |
Individual private donors ; U.S. Department of Health and Human Services 1C76HF15069; U.S. Department of Health and Human Services 1C76HF19619 |
PMID:23041053 | Free, Available for download, Freely available | nif-0000-00506 | http://humancortex.alleninstitute.org, http://human.brain-map.org/ | SCR_007416 | Human Cortex Study, Allen Institute for Brain Science Human Cortex Study, Allen Brain Atlas - Human Brain | 2026-02-15 09:19:45 | 135 | |||||
|
GoatMap Database Resource Report Resource Website |
GoatMap Database (RRID:SCR_008144) | portal, database, service resource, storage service resource, data repository, data or information resource, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This website contains information about the mapping of the caprine genome. It contains loci list, phenes list, cartography, gene list, and other sequence information about goats. This website contains 731 loci, 271 genes, and 1909 homologue loci on 112 species. It also allows users to summit their own data for Goatmap. ARK-Genomics is not-for-profit and has collaborators from all over the world with an interest in farm animal genomics and genetics. ARK-Genomics was initially set up in 2000 with a grant awarded from the BBSRC IGF (Investigating Gene Function) initiative and from core resources of the Roslin Institute to provide a laboratory for automated analysis of gene expression using state-of-the-art genomic facilities. Since then, ARK-Genomics has expanded considerably, building up considerable expertise and resources. | farm, gene, animal, caprine, cartography, genome, genomic, goat, homologue, locus, map, mapping, phene, sequence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20978 | SCR_008144 | GoatMap | 2026-02-15 09:19:48 | 0 | |||||||||
|
Bacterial Genomes Resource Report Resource Website 10+ mentions |
Bacterial Genomes (RRID:SCR_008141) | software application, data processing software, software resource, database, data or information resource, data analysis software | This website includes a list of projects that the Sanger Institute is currently working on or completed. All projects consist of the genomic sequencing of different bacteria. Each description of the bacteria includes its classification, a description, and the types of diseases that the bacteria is likely to cause. The Sanger Institute bacterial sequencing effort is concentrated on pathogens and model organisms. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing users to search the sequences with their own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing you to search the sequences with your own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. The primary sequence viewer and annotation tool, Artemis is available for download. This is a portable Java program which is used extensively within the Microbial Genomes group for the analysis and annotation of sequence data from cosmids to whole genomes. The Artemis Comparison Tool (ACT) is also useful for interactive viewing of the comparisons between large and small sequences. | bacteria, bacterial, classification, description, disease, genomic, model, organism, pathogen, sequence, sequencing, model |
is listed by: 3DVC has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
nif-0000-20963 | SCR_008141 | Bacterial Genomes | 2026-02-15 09:19:43 | 12 | |||||||||
|
Bio2RDF atlas of post genomic knowledge Resource Report Resource Website 10+ mentions |
Bio2RDF atlas of post genomic knowledge (RRID:SCR_007991) | portal, blog, data or information resource, narrative resource, topical portal | This is a blog about post genomic knowledge. The website''s goal is to make public datasets from the bioinformatics community available in RDF format via standard SPARQL endpoints. | bioinformatic, community, dataset, genomic, knowledge, rdf | nif-0000-10166 | SCR_007991 | Bio2RDF | 2026-02-15 09:19:40 | 41 | ||||||||||
|
Genboree Discovery System Resource Report Resource Website 10+ mentions |
Genboree Discovery System (RRID:SCR_000747) | Genboree | software application, data processing software, database, software resource, data or information resource | A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small ( | genome, genomic, next generation sequencing |
is related to: Spark has parent organization: Baylor University; Texas; USA |
nif-0000-08906 | SCR_000747 | Genboree Discovery System | 2026-02-15 09:17:59 | 11 | ||||||||
|
Baylor College of Medicine - Shaw Laboratory Resource Report Resource Website 1+ mentions |
Baylor College of Medicine - Shaw Laboratory (RRID:SCR_000604) | BCM - Shaw Laboratory, BCM Shaw Laboratory, BCM Shaw Lab | organization portal, data or information resource, laboratory portal, portal | The mission of the Baylor College of Medicine - Shaw Laboratory is to apply methods of statistics and bioinformatics to the analysis of large scale genomic data. Our vision is data integration to reveal the underlying connections between genes and processes in order to cure disease and improve healthcare. | statistics, bioinformatics, analysis, genomic, gene, biological process | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149156 | SCR_000604 | 2026-02-15 09:17:57 | 1 |
Can't find your Tool?
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.
