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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BraInSitu: A homepage for molecular neuroanatomy Resource Report Resource Website 1+ mentions |
BraInSitu: A homepage for molecular neuroanatomy (RRID:SCR_008081) | BraInSitu | atlas, data or information resource, database, experimental protocol, expression atlas, image, narrative resource | Database of detailed protocols for single and double in situ hybridization (ISH) method, probes used by Yamamori lab and others useful for studies of brain, and many photos of mammalian (mostly mouse and monkey) brains stained with various gene probes. Also includes a brain atlas of gene expression. Currently, the atlas comprises a series of un-annotated images showing the localization of a particular probe or molecule, e.g., AChE. | function, gene expression, gene, anatomical structure, brain, central nervous system, cerebral cortex, in situ hybridization, mammalian, neocortex, pcr cloning, probe, molecular neuroanatomy resource, neuroanatomy, in situ hybridization protocol | has parent organization: National Institute for Basic Biology; Okazaki; Japan | nif-0000-11633 | SCR_008081 | 2026-09-19 12:51:35 | 4 | |||||||||
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University of Washington Integrated Brain Project Resource Report Resource Website 1+ mentions |
University of Washington Integrated Brain Project (RRID:SCR_008075) | controlled vocabulary, data or information resource, ontology, software resource | The UW Integrated Brain Project is one project within the national Human Brain Project, a national multi-agency effort to develop informatics tools for managing the exploding amount of information that is accumulating about the human brain. The objective of the UW Integrated Brain Project effort is to organize and integrate distributed functional information about the brain around the structural information framework that is the long term goal of our work. This application therefore extends the utility of the Digital Anatomist Project by using it to organize non-structural information. The initial driving neuroscience problem that is being addressed is the management, visualization and analysis of cortical language mapping data. In recent years, advances in imaging technology such as PET and functional MRI have allowed researchers to observe areas of the cortex that are activated when the subject performs language tasks. These advances have greatly accelerated the amount of data available about human language, but have also emphasized the need to organize and integrate the sometimes contradictory sources of data, in order to develop theories about language organization. The hypothesis is that neuroanatomy is the common substrate on which the diverse kinds of data can be integrated. A result of the work done by this project is a set of software tools for generating a 3-D reconstruction of the patient''s own brain from MRI, for mapping functional data to this reconstruction, for normalizing individual anatomy by warping to a canonical brain atlas and by annotating data with terms from an anatomy ontology, for managing individual lab data in local laboratory information systems, for integrating and querying data across separate data management systems, and for visualizing the integrated results. Sponsors: This Human Brain Project research is funded jointly by the National Institute on Deafness and Other Communication Disorders, the National Institute of Mental Health, and the National Institute on Aging. | functional mri, anatomy, brain, imaging, neuroanatomy, neuroscience, open source license, pet, technology | Aging | nif-0000-10536 | SCR_008075 | UW Brain Project | 2026-09-19 12:51:35 | 1 | |||||||||
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Gladstone Institute of Neurological Disease Resource Report Resource Website 1+ mentions |
Gladstone Institute of Neurological Disease (RRID:SCR_008072) | data or information resource, job resource, organization portal, portal, training resource | GIND provides a highly interactive academic environment and state-of-the-art research facilities that are ideal for training in neuroscience and biomedical research. GIND Investigators hold university appointments at UCSF and participate in educational activities, including the teaching and training of graduate students and postdoctoral fellows. Additionally, GIND is actively engaged in efforts to translate scientific discoveries into better treatments for major diseases of the nervous system. Sponsors: Support for GIND comes from the University of California at San Francisco. | biomedical, disease, nervous system, neuroscience, research, treatment | is related to: Collaboratory of AIDS Researchers for Eradciation (CARE) | nif-0000-10522 | SCR_008072 | GIND | 2026-09-19 12:51:35 | 2 | |||||||||
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Bacterial Genomes Resource Report Resource Website 10+ mentions |
Bacterial Genomes (RRID:SCR_008141) | data analysis software, data or information resource, data processing software, database, software application, software resource | 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 | 2026-09-19 12:51:35 | 12 | |||||||||
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dbEST Resource Report Resource Website 100+ mentions |
dbEST (RRID:SCR_008132) | data or information resource, data repository, database, service resource, storage service resource | Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms. | data, sequence, single, pass, cDNA, express, tag, bio.tools, gold standard |
is listed by: Debian is listed by: bio.tools has parent organization: NCBI |
PMID:8401577 | biotools:dbest, nif-0000-20937, r3d100010648 | http://www.ncbi.nlm.nih.gov/dbEST/, https://bio.tools/dbest, https://doi.org/10.17616/R3FG8P | SCR_008132 | database Expressed Sequence Tag (EST), database Expressed Sequence Tag | 2026-09-19 12:51:35 | 186 | |||||||
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Laboratory of Molecular Neuroscience, University of Oslo Resource Report Resource Website 1+ mentions |
Laboratory of Molecular Neuroscience, University of Oslo (RRID:SCR_008097) | UiO LMN | data or information resource, portal, topical portal | A laboratory that investigates the molecular mechanisms involved in the development of acute and chronic neurodegenerative disease, with a focus on the role of glutamate excitotoxicity. It aims at unraveling the molecular basis for cell death and edema development in stroke, and explores the pathophysiology of Alzheimer's disease and temporal lobe epilepsy. The main objective of the LMN is to advance understanding of the role of glutamate, as a transmitter substance in the normal brain and as a mediator of excitotoxicity in pathological conditions such as stroke. To this end the LMN employs several vital and nonvital imaging techniques. Model systems includes organotypic slice cultures and transgenic animals. An important focus of the LMN is to explore the role of DNA damage and repair in the pathogenesis of neurodegenerative disease. LMN is also engaged in research on molecular mechanism underlying brain edema, epilepsy, and Alzheimer's disease. | epilepsy, excitotoxicity, acute, alzheimer's disease, brain, brain edema, cell death, chronic, damage, dna, glutamate, imaging, model systems, molecular, molecular mechanism, neurodegenerative disease, neuroprotective, neuroscience, repair, stroke, transmitter | has parent organization: University of Oslo; Oslo; Norway | nif-0000-11675 | SCR_008097 | University of Oslo LMN | 2026-09-19 12:51:35 | 2 | ||||||||
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University of Southern California; Los Angeles; USA Resource Report Resource Website 1+ mentions |
University of Southern California; Los Angeles; USA (RRID:SCR_008093) | USC | university | American private research university in Los Angeles, California. Founded in 1880, it is the oldest private research university in California. USC has historically educated a large number of the nation's business leaders and professionals. | private, research, university, American |
is related to: Alzheimers Disease Genetics Consortium is related to: Clinical and Translational Science Awards Consortium is related to: The Pancreatic Beta-Cell Consortium is parent organization of: Wavelet Analysis of Image Registration is parent organization of: wANNOVAR is parent organization of: Gene Aging Nexus is parent organization of: Bioscholar is parent organization of: Resource Center for Medical Ultrasonic Transducer Technology is parent organization of: Brainstorm is parent organization of: Biomedical Simulations Resource is parent organization of: Brain Operation Database is parent organization of: Karma is parent organization of: PANTHER is parent organization of: Biomedical Informatics Research Network is parent organization of: MethPipe is parent organization of: SPOT - Biological prioritization after a SNP association study is parent organization of: Bis-SNP is parent organization of: MLML is parent organization of: ENIGMA: Enhancing Neuro Imaging Genetics Through Meta-Analysis is parent organization of: lapdftext is parent organization of: Brain Architecture Management System is parent organization of: BIRN Coordinating Center is parent organization of: University of Southern California Department of Neuroscience is parent organization of: RSEG is parent organization of: University of Southern California Brain Project is parent organization of: Center for Premature Infant Health and Developement is parent organization of: Sub-Volume Thresholding Analysis is parent organization of: jViewbox is parent organization of: MultiPhase-SEG is parent organization of: LONI Java Image I/O Plugins is parent organization of: DualSurfaceMin is parent organization of: Charged Fluid Model for Brain Image Segmentation is parent organization of: CpG Island Searcher is parent organization of: Longitudinal Study of Generations is parent organization of: Biomarker Network is parent organization of: Nihon University Japanese Longitudinal Study of Aging is parent organization of: PhenoExplorer is parent organization of: Piranha is parent organization of: USC Flow Cytometry Core is parent organization of: University of Southern California School of Pharmacy Lentiviral Laboratory Core Facility is parent organization of: University of Southern California School of Pharmacy Graduate Programs is parent organization of: University of Southern California School of Pharmacy Histology Laboratory Core Facility is parent organization of: University of Southern California School of Pharmacy Translational Research Laboratory is parent organization of: University of Southern California Epigenome Center Data Production Facility is parent organization of: USC Stem Cell Core Facility is parent organization of: University of Southern California Labs and Facilities is parent organization of: USC Immune Monitoring Core Facility is parent organization of: USC Cancer Research Informatics Core is parent organization of: University of Southern California Keck School of Medicine; California; USA is parent organization of: muliAlignFree is parent organization of: GPSeq is parent organization of: CEDER is parent organization of: W3C Provenance Incubator Group Wiki is parent organization of: FadE is parent organization of: PerM is parent organization of: Clippers is parent organization of: NIMH Repository and Genomics Resources is parent organization of: CROP is parent organization of: NeuroScholar is parent organization of: GPCR Network is parent organization of: ENIGMA-DTI Pipeline is parent organization of: TomoMiner is parent organization of: MOCA is parent organization of: TopDom is parent organization of: NMF Toolbox is parent organization of: Data Archive BRAIN Initiative is parent organization of: Mouse Connectome Project is parent organization of: MethBase is parent organization of: OntoSoft is parent organization of: riborex is parent organization of: PombeX is parent organization of: University of Southern California CHLA Cellular Imaging Core Facility is parent organization of: University of Southern California CHLA Extracellular Vesicle Core Facility is parent organization of: ReproRehab Research Education Course is parent organization of: Global Alzheimers Association Interaction Network is parent organization of: USC-SIPI Image Database has organization facet: Neurodevelopmental MRI Database |
grid.42505.36, Wikidata:Q4614, ISNI:0000 0001 2156 6853, Crossref funder ID:100006034, nlx_24939 | https://ror.org/03taz7m60 | SCR_008093 | University of Southern California | 2026-09-19 12:51:35 | 8 | |||||||
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BiQAnalyzer HT Resource Report Resource Website 10+ mentions |
BiQAnalyzer HT (RRID:SCR_008045) | BiQAnalyzer HT | software resource | Software that currently allows to process an amount of bisulfite sequencing reads obtained in one or several bisulfite sequencing experiments. | is listed by: OMICtools | OMICS_00631 | SCR_008045 | 2026-09-19 12:51:34 | 12 | ||||||||||
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Tulane National Biomedical Research Center Resource Report Resource Website 500+ mentions |
Tulane National Biomedical Research Center (RRID:SCR_008167) | TNPRC | data or information resource, disease-related portal, organization portal, portal, topical portal | Center focused on understanding human health problems, including infectious diseases that require the use of nonhuman primates to develop diagnostics, therapeutics and preventive strategies. Primary research interests include developing vaccines, treatments and diagnostic tools for infectious diseases such as AIDS, tuberculosis, CMV, COVID-19, Lyme disease, and malaria. TNPRC has both biosafety level 2 and biosafety level 3 laboratories facilities to accommodate various research needs, and is the only National Primate Research Center with Regional Biosafety Laboratory. | NPRC, NPRC Consortium, ORIP, primate research, |
is listed by: National Primate Research Center Consortium has parent organization: Tulane University; Louisiana; USA |
NIH Office of the Director P51 OD011104; NIH Office of the Director U42 OD010568; NIH Office of the Director U42 OD024282 |
nif-0000-24360 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_008167 | Tulane National Primate Research Center | 2026-09-19 12:51:36 | 866 | ||||||
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Interaction Proteome Project Resource Report Resource Website 1+ mentions |
Interaction Proteome Project (RRID:SCR_008043) | IPP | data or information resource, portal, simulation software, software application, software resource, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 28, 2013. (URL is no longer valid) A platform for high-throughput proteomic analysis. Major objectives of IPP include the establishment of a broadly applicable platform of routine methods for the analysis of protein interaction networks in bio-medical research. A multidisciplinary approach will address; * their validation by cell biological, biochemical and biophysical methods. * their collection in a new type of public database. * their exploitation and use for in silico simulations of protein-interaction networks. The innovations generated in IPP will provide the basis for an efficient analysis and systems modeling of fundamental biological processes in health and disease. It will develop novel technology, including a high-end mass spectrometer with extremely large dynamic range, high-density peptide arrays, and improved visualization technology for light and electron microscopy. Additionally, the novel technologies will be validated with selected model systems of high relevance to medicine and biotechnology. Extensive bioinformatics support is a key element in the project to cope with the massive increase in experimental data on protein interactions obtained using the novel technologies. In particular, the efficient integration of disparate data sets represents a key challenge in proteomics and functional genomics. Therefore, the consortium includes the creator of the only European protein-interactions database, MINT. The multi-disciplinary efforts required in the scientific program of IPP are organized into four sub-projects (SP): * SP1: Tools for interaction analysis - SP1 is dedicated to the development of innovative proteomics technology to map protein-interaction networks and their cellular topology for the interaction analyses in SP2 and SP3. * SP2: Identification of interaction partners for protein domains - SP2 will generate (high throughput) data for important protein-protein interactions defined by bioinformatics and biomedical interest and by SP3, utilizing technology developed in SP1. * SP3: Functional analysis of interactions - SP3 focuses on the validation of technologies and tools developed in SP1. It will perform functional analyses of protein-interactions in medically and biochemically relevant prokaryotic and eukaryotic (mammalian) model systems. * SP4: Interactome database and modelling - SP4 provides the required bioinformatics infrastructure for the project, comprising the improvement of the public MINT database for the collection and dissemination of the interactome data; modelling and simulation of protein-interaction networks characterised in SP2 and SP3; and the dissemination of the technology developments to the scientific community. | electron, eukaryotic, biochemical, bioinformatics, biological, biomedical, biophysical, biotechnology, cell, development, disease, domain, genomics, health, interaction, light, mammalian, map, mass spectrometer, medicine, microscopy, model, modeling, network, peptide array, prokayotic, protein interaction, proteome, proteomics, silico, simulation, system, technology, tool, protein interaction | has parent organization: Max Planck Institute of Biochemistry; Martinsried; Germany | European Union | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10259 | SCR_008043 | Interaction Proteome | 2026-09-19 12:51:34 | 1 | ||||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data acquisition software, data analysis software, data or information resource, data processing software, data visualization software, database, software application, software resource | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-09-19 12:51:34 | 1 | ||||||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | data or information resource, portal, topical portal | In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers academic and non-profit organizations free access to reduced functionality versions of their products. TRANSFAC Professional provides gene regulation analysis solutions, offering the most comprehensive collection of eukaryotic gene regulation data. The professional paid subscription gives customers access to up-to-date data and tools not available in the free version. The public databases currently available for academic and non-profit organizations are: * TRANSFAC: contains data on transcription factors, their experimentally-proven binding sites, and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. * TRANSPATH: provides data about molecules participating in signal transduction pathways and the reactions they are involved in, resulting in a complex network of interconnected signaling components.TRANSPATH focuses on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. * PathoDB: is a database on pathologically relevant mutated forms of transcription factors and their binding sites. It comprises numerous cases of defective transcription factors or mutated transcription factor binding sites, which are known to cause pathological defects. * S/MARt DB: presents data on scaffold or matrix attached regions (S/MARs) of eukaryotic genomes, as well as about the proteins that bind to them. S/MARs organize the chromatin in the form of functionally independent loop domains gained increasing support. Scaffold or Matrix Attached Regions (S/MARs) are genomic DNA sequences through which the chromatin is tightly attached to the proteinaceous scaffold of the nucleus. * TRANSCompel: is a database on composite regulatory elements affecting gene transcription in eukaryotes. Composite regulatory elements consist of two closely situated binding sites for distinct transcription factors, and provide cross-coupling of different signaling pathways. * PathoSign Public: is a database which collects information about defective cell signaling molecules causing human diseases. While constituting a useful data repository in itself, PathoSign is also aimed at being a foundational part of a platform for modeling human disease processes. | element, eukaryote, eukaryotic, expression, functionally, gene, genome, alignment, bind, binding site, cell, chromatin, collaborative, component, coupling, disease, dna, domain, human, matrix, molecular weight, molecule, mononucleotide, network, nucleotide, nucleus, pathological, protein, region, regulated, regulatory, scientific research, sequence, signaling, signal pathway, transcription factor, molecular neuroanatomy resource |
lists: TRANSFAC has parent organization: BIOBASE Corporation |
BIOBASE | nif-0000-10230 | SCR_008033 | gene-regulation.com: Public Databases for Academic and Non-profit Organizations | 2026-09-19 12:51:34 | 130 | |||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | data or information resource, database, portal, topical 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 August 23, 2016. The Human Papillomaviruses Database collects, curates, analyzes, and publishes genetic sequences of papillomaviruses and related cellular proteins. It includes molecular biologists, sequence analysts, computer technicians, post-docs and graduate research assistants. This Web site has two main branches. The first contains our four annual data books of papillomavirus information, called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. and the second contains papillomavirus genetic sequence data. There is also a New Items location where we store the latest changes to the database or any other current news of interest. Besides the compendium, we also provide genetic sequence information for papilloma viruses and related cellular proteins. Each year they publish a compendium of papillomavirus information called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. which can now be downloaded from this Web site. | gene, genetic, alignment, amino acid, biologist, cellular protein, genome, human, molecular, papilloma, papillomavirus, phylogenetic, sequence, virus | has parent organization: Los Alamos National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21000 | http://www.stdgen.lanl.gov/ | SCR_008154 | HPVSD | 2026-09-19 12:51:36 | 4 | |||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | data analysis software, data or information resource, data processing software, database, narrative resource, portal, short course material, software application, software resource, topical portal, training material | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-09-19 12:51:34 | 887 | |||||||
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lobSTR Resource Report Resource Website 10+ mentions |
lobSTR (RRID:SCR_008030) | lobSTR | software resource | A software tool for profiling Short Tandem Repeats (STRs) from high throughput sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
PMID:22522390 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00109, biotools:lobstr | https://bio.tools/lobstr | SCR_008030 | lobSTR - Profiling STRs in personal genomes | 2026-09-19 12:51:34 | 47 | |||||
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AraCyc Resource Report Resource Website 50+ mentions |
AraCyc (RRID:SCR_008109) | data or information resource, data repository, database, service resource, storage service resource | Curated species-specific database present at the Plant Metabolic Network. It has a large number of experimentally supported enzymes and metabolic pathways, but it also houses a substantial number of computationally predicted enzymes and pathways. | enzyme, gene, arabidopsis thaliana, biochemical, pathway, reaction, metabolism, metabolic pathway, data set, data analysis service, web service, FASEB list |
is used by: Arabidopsis Reactome is listed by: 3DVC has parent organization: Plant Metabolic Network |
NSF | PMID:12805578 PMID:15888675 |
The community can contribute to this resource | nif-0000-20811 | http://www.arabidopsis.org/biocyc/index.jsp, http://www.plantcyc.org | SCR_008109 | Arabidopsis enzymes and biochemical pathways database | 2026-09-19 12:51:35 | 69 | |||||
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ActiveDriver Resource Report Resource Website 10+ mentions |
ActiveDriver (RRID:SCR_008104) | ActiveDriver | data analysis software, data processing software, sequence analysis software, software application, software resource | A statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications. | Protein sequence variation, variation interpretation, protein sequence, protein post-translational signaling modifications, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Free, Available for download, Freely available | biotools:ActiveDriver, OMICS_00140 | http://reimandlab.org/software/activedriver/, https://cran.r-project.org/web/packages/ActiveDriver/ActiveDriver.pdf, https://bio.tools/ActiveDriver | SCR_008104 | 2026-09-19 12:51:35 | 27 | |||||||
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EDGE: Environment, Drugs and Gene Expression Resource Report Resource Website 10+ mentions |
EDGE: Environment, Drugs and Gene Expression (RRID:SCR_008187) | EDGE | analysis service resource, biomaterial analysis service, data or information resource, experimental protocol, material analysis service, narrative resource, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. EDGE is a scientific resource for toxicology-related gene expression information. The site contains databases and analyses of gene expression studies following exposure to a variety of chemicals or physiological changes. The ultimate goal of the EDGE is to map transcriptional changes from chemical exposure that will someday be used as a diagnostic fingerprint to predict toxicity as well as provide valuable insights into the basic molecular changes responsible. EDGE gives you the ability to easily answer the following fundamental questions about your data 1. Can I compare transcriptional profiles across treatments? 2. What genes respond to my treatment? 3. What influences my favorite gene(s)? One of the major objectives of toxicology is to understand the adverse health effects that result from exposure to foreign chemicals. The traditional method for assessing the toxicity of a test chemical is very resource intensive; requiring the commitment of large amounts of money, time, and animals. According to the National Toxicology Program (NTP), each chemical study requires between 2 and 4 million dollars and several years to complete. Due to the cost and labor intensive nature of these studies, the number of chemicals currently tested by the NTP stands at less than 500. Given these statistics and the fact that there are approximately 70,000 chemicals in commerce today, it is increasingly apparent that alternative methods for assessing toxic potential must be explored if a significant portion of the remaining chemicals is to be tested. One potential solution is to develop a comprehensive database that describes alterations in gene expression resulting from chemical exposure. The pattern of transcriptional activity will not only be highly sensitive indicator of chemical exposure, but that this pattern will be diagnostic for mechanistically linked toxicants. In our laboratory, we have chosen to address this problem through a combination of high throughput sequencing of expressed sequence tags (ESTs) and construction of custom toxicology-related cDNA microarrays derived from the unique ESTs identified in the sequencing effort. By using this approach, we can simultaneously develop a quantitative gene expression profile using ESTs and the reagents for further analyzing these changes in a rapid, highly parallel manner. In addition, the expression profiles are not biased for preselected favorite genes. The resulting gene expression pattern can then be used as diagnostic fingerprint to predict toxicity and/or carcinogenicity as well as provide valuable insight into the basic biochemical and molecular changes responsible for toxicity. Submission of total RNA for Bradfield Lab Microarray Microarray comparisons are made between untreated, control animals and animals treated with ONE treatment. Please make sure the RNA submitted adheres to this experimental design. Necessary information is available on the site. | expressed sequence tags (ests), gene expression, gene expression profile, genes, alterations, cdna microarray, chemical exposure, predictive statistical models, sequencing, toxicogenomics, toxicology, transcriptional changes | has parent organization: University of Wisconsin-Madison; Wisconsin; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21140 | SCR_008187 | Drugs and Gene Expression, Environment | 2026-09-19 12:51:36 | 13 | |||||||
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Foundational Model Explorer Resource Report Resource Website 1+ mentions |
Foundational Model Explorer (RRID:SCR_008189) | data analysis software, data processing software, software application, software resource | The Foundational Model Explorer (FME) is an internet based software application developed for viewing the content and organization of the Foundational Model of Anatomy Ontology (FMA). The initial purpose of the FME was to provide a simple and intuitive interface to the FMA for domain experts, in the field of anatomy, participating in the evaluation of the FMA. The FME also provides an easily available method of exploring the FMA to individuals or groups considering the adoption of the Foundational Model of Anatomy knowledge base. The FME display consists of two panes: a hierarchical tree may be opened up in the pane on the left side; if a class is selected in the hierarchical tree, the pane on the right side displays the information that has been entered in the FMA for that class. The information associated with a given class is organized in so-called slots. Each slot has a name (e.g., Definition, Parts) and some content, which is that particular slots value (e.g., the English definition and the names of parts of the selected class, respectively). For an explanation of the interactive features of the FME, see the Knowledge Navigation Section. For a guided tutorial check out the Conducted Tour. In the left pane, the default tree is a subclass hierarchy, based on the -is a- or -kind of- relationship; it is the instantiation of the Anatomy taxonomy (At) component in the high level scheme of the Foundational Model of Anatomy. Apart from the slots Preferred Name and Synonyms, other slots relate to the Anatomical Structural Abstraction (ASA) component in the FMAs high level scheme. Hierarchies based on various part-whole relationships can also be opened up in the left pane. Once a class has been highlighted in the subclass hierarchy, you can choose a relationship from a drop down list labeled Select navigation tree type. Some other transitive relationships (e.g., -branch of- and -tributary of-) are also available. The Search facility matches a search term to the preferred name, as well as to the Latin name, or synonym of an FMA class (if such exist). The tree is expanded to reveal the matching class and the information about this class is displayed. The wildcard * is allowed in the search term and will match to any sequence of characters. For example the search term h*d matches the class names Head and Hepatic cord (amongst others). The search function is not case sensitive. If more than one class name matches with the search term, a list of matching terms is presented for the user to choose between. | foundational, anatomical, anatomist, anatomy, anatomy databases, class, component, content, digital, hierarchical tree, model, organization, relationship, software, structural, subclass, taxonomy | has parent organization: University of Washington; Seattle; USA | nif-0000-21156 | SCR_008189 | FME | 2026-09-19 12:51:36 | 1 | |||||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | data analysis software, data processing software, software application, software resource | Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible | gene, genetic, analysis, annotation, archive, bioinformatic, cancer, genome, genomic, genotype, genotyping, human, human genome databases, maps, polymorphism, position, variation, data set |
is listed by: 3DVC has parent organization: National Cancer Institute |
nif-0000-21173 | SCR_008183 | GeneWindow | 2026-09-19 12:51:36 | 1 |
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