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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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University of Pittsburgh Department of Neuroscience Resource Report Resource Website |
University of Pittsburgh Department of Neuroscience (RRID:SCR_007985) | data or information resource, organization portal, department portal, portal | The Department of Neuroscience in the School of Arts and Sciences at the University of Pittsburgh provides outstanding undergraduate and graduate education with innovative independent and collaborative research, a well-rounded curriculum, and a seminar series by the world''s most renowned leaders in the field of neuroscience. The Department has become successful and prominent based on the determination, energy, imagination, and skills of its faculty as investigators and as mentors, and on the support of the institution and the funding agencies. Consequently, morale is high and so is our optimism that we will continue to develop and maintain a world-class department. | NIH Office of the Director P40 OD010996 | nif-0000-04000 | SCR_007985 | U Pitt, UPitt Department of Neuroscience, UPitt Neuroscience | 2026-08-13 09:27:47 | 0 | ||||||||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data or information resource, data processing software, data analysis software, software application, data visualization software, database, data acquisition software, 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 | 2026-08-13 09:27:51 | 1 | ||||||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | topical portal, data or information resource, 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 | 2026-08-13 09:27:48 | 130 | |||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | topical portal, data or information resource, database, 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 | 2026-08-13 09:27:50 | 4 | |||||||
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University of Arkansas for Medical Sciences Department of Neurobiology and Developmental Sciences Resource Report Resource Website |
University of Arkansas for Medical Sciences Department of Neurobiology and Developmental Sciences (RRID:SCR_007981) | data or information resource, organization portal, department portal, portal | The Department of Neurobiology and Developmental Sciences is structured around three divisions originally intended as academic entities designed to facilitate and support the growth and development of faculty with common interests. Ideally, this will continue to foster the development of programmatic, interdisciplinary funding which would benefit both young and established faculty. The Divisions also provide leadership opportunities for Senior faculty, as they help the Chair with faculty development. In essence, the divisions are sites for mentoring of faculty who need training and skills in specific areas. Many faculty participate in multiple divisions, depending on their needs, interests, and expertise. The three divisions include the Division of Anatomical Education, the Division of Translational Neuroscience, and the Division of Cellular and Molecular Neuroscience. | nif-0000-03861 | SCR_007981 | UAMS | 2026-08-13 09:27:51 | 0 | |||||||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | topical portal, data or information resource, data processing software, data analysis software, narrative resource, software application, short course material, database, training material, software resource, portal | 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 | 2026-08-13 09:27:48 | 887 | |||||||
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U.S. Pig Genome Project Resource Report Resource Website |
U.S. Pig Genome Project (RRID:SCR_008151) | topical portal, data or information resource, database, portal | Database and resources on the pig genome. | embryo, embryonic, environmental, exercise, exposure, fat, feed, feeding, fibroblast, food, foot and mouth disease, function, genetic, acute, additive, alcohol, alcoholism, atherosclerosis, bed, behavior, biological, bone, breed, cancer, cell, chronic, clone, degenerative, density, deposition, dermal, developmental, diabetes, dietary, digestive, disease, genome, genomic, growth, habit, healing, human, hypertension, kidney, mammal, map, melanoma, metabolism, nephropathy, nuclear, nutrition, obesity, omnivore, organ, organism, parenteral, pathogen, pattern, phenotype, phenotypic, physiology, pig, pollutant, population, porcine, prenatal, pulmonary, reproductive, respiratory, retinal, sex, shock, size, social, somatic, structure, swine, taxon, technique, tissue, tobacco, transplantation, variation, vascular, warfare, xenobiotic, model | is listed by: 3DVC | nif-0000-20986 | SCR_008151 | U.S. Pig Genome Project | 2026-08-13 09:27:50 | 0 | |||||||||
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Comparative Saccharinae Genomics Resource Resource Report Resource Website |
Comparative Saccharinae Genomics Resource (RRID:SCR_008153) | topical portal, data or information resource, data processing software, software application, database, software resource, portal, image processing software | The objective of this project is to develop physical maps of the sorghum and rice genomes, based on BAC contigs that are cross-linked to each other and also to genetic maps and BAC islands for other large-genome crops and a library of ca. 50,000 expressed-sequence tags (EST''s) and corresponding cDNA clones, from diverse sorghum organs and developmental states. It also aims to improve understanding of genetic diversity and allelic richness that might be harbored ex situ (in gene banks) or in situ (in nature), and refine techniques for assesing allelic richness and Expedite data acquisition and utilization by a sound parnership between laboratory scientists and computational biologists. Specific goals of developing physical maps of sorghum and rice genomes include: -Enrich cross-links between sorghum and rice by mapping additional rice probes on sorghum. -Apply mapped DNA probes to macroarrays of sorghum, sugarcane, rice, and maize BACs. -Fingerprint 10x BAC libraries of Sorghum bicolor and S. propinquum. Libraries presently 3x and 6x respectively, to be expanded to 10x each. -Use fragment-matching (BAC-RF) method to determine locus-specificity in polyploids. - Contig assembly based on 1-3, plus rice BAC fingerprints generated under a separate Novartis project. -Evaluate methodology for rapid high-throughput assignment of new ESTs to BACs. -Conduct genomic sequencing in a region duplicated in both sorghum and arabidopsis. Selected BACs from sorghum(2), sugarcane, maize, rice, wheat. By improving the understanding of genetic diversity and allelic richness, the goal is to: -Sequence previously mapped sorghum DNA probes. -Discover & characterize 100 single nucleotide polymorphisms (SNPs) from cDNA markers. -Develop colorimetric high-throughput genotyping assays, and utilize to assess genetic diversity in geographically- and phenotypically-diverse sorghums. -Develop colorimetric high-throughput asssays for identifying phytochrome allelic variation, and apply these assays to a core collection representing a large set of genetic resources. -Support informatics group to streamline cataloging of DNA-level information relevant to large genetic resources collections. Lastly, the goals of expediting data acquisition and utilization include: -A new web-based resource for 3D-integration and visualization of structural and functional genomic data will be developed. -New sequence assembly and alignment software SABER (Sequence AssemBly in the presence of ERror), and PRIMAL(Practical RIgorous Multiple ALignment), will be evaluated with reference to existing standards (PHRED, PHRAP). -Specialized image processing and image analysis tools will be developed for acquistion and interpretation of qualitative and quantitative hybridization signals. To deal expeditiously with large volumes of data, parallel processing approaches will be investigated. Sponsors: * National Science Foundation (NSF) * National Sorghum Producers * University of Georgia Research Foundation (UGARF) * Georgia Research Alliance (GRA) | fingerprint, genetic, alignment, allele, allelic, arabidopsis, bac, biologist, cdna, clone, colorimetric, computational, contig, crop, diverse, diversity, dna, genome, genotyping, locus, macroarray, maize, map, marker, nucleotide, organ, phenotypically, physical, phytochrome, polymorphism, polyploid, probe, rice, sorghum, sugarcane, undergraduate, wheat, k-12 program | has parent organization: University of Georgia; Georgia; USA | nif-0000-20996 | http://csgr.agtec.uga.edu/ | SCR_008153 | CSGR | 2026-08-13 09:27:52 | 0 | ||||||||
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AraCyc Resource Report Resource Website 50+ mentions |
AraCyc (RRID:SCR_008109) | data or information resource, database, service resource, data repository, 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 | 2026-08-13 09:27:52 | 69 | |||||
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ActiveDriver Resource Report Resource Website 10+ mentions |
ActiveDriver (RRID:SCR_008104) | ActiveDriver | data analysis software, data processing software, software application, software resource, sequence analysis software | 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 | 2026-08-13 09:27:51 | 27 | |||||||
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Surgical Secondary Events Resource Report Resource Website |
Surgical Secondary Events (RRID:SCR_007894) | SSE | ontology, data or information resource, controlled vocabulary | Memorial Sloan-Kettering Cancer Center''s ontology of surgical secondary events (adverse events). | owl | is listed by: BioPortal | SCR_007894 | 2026-08-13 09:27:47 | 0 | ||||||||||
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Rfam Resource Report Resource Website 1000+ mentions |
Rfam (RRID:SCR_007891) | Rfam, RFAM | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | The Rfam database is a collection of RNA families, each represented by multiple sequence alignments, consensus secondary structures and covariance models (CMs). The families in Rfam break down into three broad functional classes: Non-coding RNA genes, structured cis-regulatory elements and self-splicing RNAs. Typically these functional RNAs often have a conserved secondary structure which may be better preserved than the RNA sequence. The CMs used to describe each family are a slightly more complicated relative of the profile hidden Markov models (HMMs) used by Pfam. CMs can simultaneously model RNA sequence and the structure in an elegant and accurate fashion. Rfam is also available via FTP. You can find data in Rfam in various ways... * Analyze your RNA sequence for Rfam matches * View Rfam family annotation and alignments * View Rfam clan details * Query Rfam by keywords * Fetch families or sequences by NCBI taxonomy * Enter any type of accession or ID to jump to the page for a Rfam family, sequence or genome | family, genome, clan, structure, non-coding rna, FASEB list | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | Howard Hughes Medical Institute ; University of Manchester; Manchester; United Kingdom ; Wellcome Trust WT077044/Z/05/Z |
PMID:21062808 | http://rfam.sanger.ac.uk/ | SCR_007891 | RFAM, Rfam database | 2026-08-13 09:27:50 | 4040 | ||||||
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Department of Psychiatry, Turner Laboratory Resource Report Resource Website |
Department of Psychiatry, Turner Laboratory (RRID:SCR_008067) | Turner Lab | data or information resource, organization portal, laboratory portal, portal | Dr. Eric Turner''s laboratory studies the mechanisms underlying the development of the nervous system. The vertebrate brain is comprised of a tremendous variety of neurons, each class exhibiting a unique phenotype characterized by the expression of specific neurotransmitter receptors, ion channels, patterns of axonal growth, and synapse formation. The research we conduct focuses on the critical role transcription factors play in the specification of neuronal cell type during development. We are particularly interested in transcription factors of the homeodomain family that bind to DNA and in doing so activate or repress gene expression. One area of study is the role of POU-domain transciption factor Brn3a in axon growth and survival. The primary research areas are: * Neuronal cell fate determination: The expression of regulatory genes is manipulated in living chick embryos using microsurgery and electroporation and the effects on neural marker genes studied. * Molecular mechanisms of gene regulation: Target DNA binding sites of neural transcription factors are biochemically characterized and findings coordinated with sequence data from the mouse and human genomes. * Targeted misexpression of regulatory genes: Transgenic and knockout mouse technology is used to misexpress genes of interest, and the effects on neural marker genes, axonal growth, and cell survival studied. * Global analysis of neural gene expression: Micro-arrays (GeneChips) are employed in conjunction with other areas of study to understand the coordinated regulation of gene expression in the nervous system. Dr. Turner is a member of the University of California, San Diego''s Graduate Program in Neuroscience and Biomedical Sciences Program and accepts students from these two programs. Interesting rotation projects are available using methods ranging from biochemistry and molecular biology to embryology. Additionally, Dr. Turner is also the Director of this NIMH-funded training program for research-oriented psychiatrists, psychologists, and basic neuroscientists working in areas relevant to psychiatry. Typically Fellows spend two years in the program, during which they develop a research project under the close supervision of one of the highly productive members of the UCSD Department of Psychiatry, or another investigator in the La Jolla (UCSD/Salk/Scripps) research community. | electroporation, embryo, embryology, expression, gene, axon, biochemistry, biomedical science, cell, c hick, development, dna, dna binding site, homeodomain, human, knockout technology, microarray, microsurgery, misexpression, molecular biology, molecular mechanism, mouse, nervous system, neural gene, neural marker gene, neural transcription factor, neuronal cell, neuroscience, neuroscientist, psychiatrist, psychologist, regulation, regulatory gene, transcription factor, transgenic technology | has parent organization: University of California at San Diego Department of Psychiatry | nif-0000-10507 | SCR_008067 | UCSD Turner Laboratory, UCSD Psychiatry (Turner''s Lab), Turner Laboratory, Turner Laboratory Developmental Neurobiology Research | 2026-08-13 09:27:51 | 0 | ||||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | data analysis software, data processing software, software resource, software application | 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 | 2026-08-13 09:27:51 | 1 | |||||||||
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University of Texas at San Antonio Laboratory of Professor Brenda Claiborne Resource Report Resource Website 1+ mentions |
University of Texas at San Antonio Laboratory of Professor Brenda Claiborne (RRID:SCR_008064) | UTSA Claiborne Lab | data or information resource, organization portal, laboratory portal, data set, portal | The long-term goals of my research are to understand the relationship between neuronal structure and function, and to elucidate the factors that affect neuronal morphology and function over the lifespan of the mammal. Currently we are examining 1) the effects of synaptic activity on neuronal development; 2) the effects of estrogen on neuronal morphology and on learning and memory; and, 3) the effects of aging on neuronal structure and function. We have focused our efforts on single neurons in the hippocampal formation, a region that is critical for certain forms of learning and memory in rodents and humans. From the portal, you may click on a cell in your region of interest to see the complete database of cells from that region. You may also explore the Neuron Database: * Comparative Electrotonic Analysis of Three Classes of Rat Hippocampal Neurons. (Raw data available) * Quantitative, three-dimensional analysis of granule cell dendrites in the rat dentate gyrus. * Dendritic Growth and Regression in Rat Dentate Granule Cells During Late Postnatal Development.(Raw data available) * A light and electron microscopic analysis of the mossy fibers of the rat dentate gyrus. | neuronal, structure, synaptic activity, rodent, human, neuron, neuronal morphology, synapse, neuronal development, learning, memory, estrogen, hippocampus, hippocampal formation, mammal, cell | has parent organization: University of Texas at San Antonio; Texas; USA | Aging | nif-0000-10481 | SCR_008064 | USTA Laboratory of Professor Brenda Claiborne | 2026-08-13 09:27:52 | 1 | |||||||
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ChemBioFinder Resource Report Resource Website 1+ mentions |
ChemBioFinder (RRID:SCR_008180) | topical portal, data or information resource, software toolkit, software library, database, software resource, portal |
THIS RESOURCE IS NO LONGER IN SERVICE,documented on January,18, 2022. ChemBioFinder.com is an online chemistry and biology reference database. With more than 500,000 compounds indexed and linked to other web sites, it provides a wealth of chemical information for professional chemists and students alike. ChemBioFinder.com is the gateway to all databases available from CambridgeSoft. At ChemBioFinder.com, a subscriber can search for compounds by name, CAS Registry Number, molecular formula or weight, or by structure (exact and substructure). Successful searches return a basic profile of molecules indexed by this site. The profile contains the name, molecular formula and weight, CAS Registry Number, SMILES and InChI strings for each located compound, and lists the databases which contain entries for the located compound(s). Free trials to any of these databases are available, as are annual subscriptions for continuous use of the contents. Users of ChemBioFinder.com are allowed 5 free searches before we request them to register with us as a cambridgesoft.com website user. The CambridgeSoft user account is free and will give you access to a growing list of products and services which includes, our quarterly print publication Chem & Bio News, frequent webinars, white papers and articles on all our offerings. Set up is fast & easy. For ChemFinder.com users: ChemFinder.Com has become ChemBioFinder.Com and has a whole new look and layout. This is part of a gradual redesign of the entire CambridgeSoft website. Here are some of the changes that were made to improve the vital information presented here to the scientific community: 1. Search results show the ChemBioFinder databases which have entries for the compound(s), and indicate the databases to which the logged in user has active subscriptions. 2. There are hyperlinks to the detailed records in the databases with active subscriptions. 3. Search results provide the name, molecular formula and weight, CAS Registry Number, SMILES and InChI strings for the compound. 4. Physical properties are no longer provided unless the user has a subscription to ChemIndex or other CambridgeSoft online databases that provide this information. Many of our products come with one year subscriptions to ChemIndex as part of the package. So you may actually be entitled to a subscription and dont realize it. |
formula, biology, chemical, chemistry, compound, inchi strings, index, information, molecular, molecule, reference, registry number, smiles, structure, substructure, weight | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21084 | http://chembiofinder.cambridgesoft.com/CHEMBIOFINDER/Forms/Public/ContentArea/about.htm | SCR_008180 | ChemBioFinder | 2026-08-13 09:27:50 | 5 | ||||||||
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Salk Institute for Biological Studies: Jude Mitchells Neuron Exchange and Matlab Analysis Resource Report Resource Website |
Salk Institute for Biological Studies: Jude Mitchells Neuron Exchange and Matlab Analysis (RRID:SCR_008055) | data or information resource, data processing software, software application, rendering software, data visualization software, database, software resource | This resource contains to MATLAB code to make and show videos that can be acquired for free. Data for the movies came from a Macaque attention task. Data on this page came from the multiple-object tracking attention task in a Macaque: The monkeys fixated the white dot at the center of the computer monitor, and four striped stimuli appeared. Their eye position was monitored using an IR camera. The red cross shows where the eyes were pointing throughout each trial. The circle shows the location of the receptive field of the neuron under study during the recording. At the beginning of each trial, either one or two of the stimuli were highlighted, indicating to the monkey that they were the targets of attention. The stimuli then moved to new locations and paused, with one stimulus in the receptive field. After a brief pause, they moved to new locations and the fixation point disappeared. The monkey was rewarded with juice if it then looked at the cued targets. Attention Dask Demo (Avi File) contains Matlab code to make and show movies. Publication from this Dataset: * Differential attention-dependent response modulation across cell classes in macaque visual area V4. JF Mitchell, KA Sundberg, JH Reynolds. Neuron, 2007, 55. 131-141. * Supplemental Material, Neuron, 2007, 55. 131-141. :A Subset of data can be downloaded with analysis routines (easiest to download whole set with full subdirectory structure). Additionally, neuron data files can also be downloaded. :* Routines for Fano Factor, Autocorrelation, and Power Spectra (poster above): :o Plots Spike Waveform and Tests if Significant Visual Response: basic_info.m :o Firing Rate and Fano Factor Analysis (Mitchell et. al, 2007): rate_fano_psth.m :* Routines for Spike-LFP Coherence: :o Spike-LFP Coherence with Rate Normalization (attempting Womelsdorf & Fries, Cosyne, 2008): rate_normalized_coherence.m Sponsors: This work was supported by a grant from the National Eye Institute (EY016161, J.F.M. and J.H.R.), a National Institutes of Health Training Fellowship (J.F.M.), and a National Science Foundation Graduate Research Fellowship (K.A.S.). | code, matlab, movies, video, eye tracking device | nif-0000-10412 | SCR_008055 | Salk Insitute (J. Mitchel) | 2026-08-13 09:27:48 | 0 | ||||||||||
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Sequenced Treatment Alternatives to Relieve Depression Study Resource Report Resource Website 10+ mentions |
Sequenced Treatment Alternatives to Relieve Depression Study (RRID:SCR_008051) | STAR*D | topical portal, data or information resource, disease-related portal, clinical trial, research forum portal, portal | A nationwide public health clinical trial conducted to determine the effectiveness of different treatments for people with major depression, in both primary and specialty care settings, who have not responded to initial treatment with an antidepressant. This is the largest and longest study ever done to evaluate depression treatment. The study is completed and no longer recruiting participants. Each of the four levels of the study tested a different medication or medication combination. The primary goal of each level was to determine if the treatment used during that level could adequately treat participants����?? major depressive disorder (MDD). Those who did not become symptom-free could proceed to the next level of treatment. The design of the STAR*D study reflects what is done in clinical practice because it allowed study participants to choose certain treatment strategies most acceptable to them and limited the randomization of each participant only to his/her range of acceptable treatment strategies. No prior studies have evaluated the different treatment strategies in broadly defined participant groups treated in diverse care settings. Over a seven-year period, the study enrolled 4,041 outpatients, ages 18-75 years, from 41 clinical sites around the country, which included both specialty care settings and primary medical care settings. Participants represented a broad range of ethnic and socioeconomic groups. All participants were diagnosed with MDD, were already seeking care at one of these sites, and were referred to the trial by their doctors. * STAR*D Study Medications: Citalopram (Celexa), Sertraline (Zoloft), Bupropion SR (Wellbutrin SR), Venlafaxine XR (Effexor XR), Buspirone (BuSpar), Mirtazapine (Remeron), Triiodothyronine (T3) (Cytomel), Nortriptyline (Pamelor, Aventyl), Tranylcypromine (Parnate), Lithium (Eskalith, Lithobid) *STAR*D Talk Therapy:Cognitive Therapy | depressive disorder, clinical trial, major depressive disorder, adult |
is used by: Limited Access Datasets From NIMH Clinical Trials is related to: NIMH Repository and Genomics Resources has parent organization: University of Pittsburgh; Pennsylvania; USA |
NIMH | PMID:17074942 PMID:15061154 |
nif-0000-10312 | http://www.star-d.org/ | SCR_008051 | Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Study, NIMH Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Study, NIMH Sequenced Treatment Alternatives to Relieve Depression Study | 2026-08-13 09:27:51 | 12 | |||||
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OpenWetWare Resource Report Resource Website 1+ mentions |
OpenWetWare (RRID:SCR_008053) | OWW | data or information resource, narrative resource, experimental protocol, wiki, community building portal, blog, portal | OpenWetWare is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology & biological engineering. OWW provides a place for labs, individuals, and groups to organize their own information and collaborate with others easily and efficiently. In the process, the hope is that OWW will not only lead to greater collaboration between member groups, but also provide a useful information portal to our colleagues, and ultimately the rest of the world. OWW''s approaches to achieve their goals: # Lower the technical barriers to sharing and dissemination of knowledge in biological research # Build a community of researchers in biology and biological engineering that values, practices, and innovates the open sharing of information # Integrate OpenWetWare into existing and future reward structures in research | biological engineering, biological research, biology, collaboration, community, information, lab, portal, sharing, structure, material resource, media, enzyme, buffer, reporter, page, fixative, detergent, electrophoresis, agarose gel electrophoresis, protease, acid, base, rna polymerases, antibiotic, chemical, rna polymerase, dna ligase, dna polymerase, phosphatase, dye, stain, fluorescent protein | has parent organization: BioBricks Foundation | NSF ; Massachusetts Institute of Technology; Massachusetts; USA |
nif-0000-10393 | SCR_008053 | 2026-08-13 09:27:51 | 3 | ||||||||
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Wright Cell Imaging Facility Resource Report Resource Website 1+ mentions |
Wright Cell Imaging Facility (RRID:SCR_008488) | data processing software, software application, image analysis software, software resource, image processing software | The ImageJ installations below correspond to the WCIF ImageJ manual. The manual is written for this particular installation of ImageJ. This ImageJ installation has, among other plugins, one that links to an online version of the manual. The online manual is more up-to-date than the PDF version. Windows users Download WCIF ImageJ bundle (~23Mb) v1.34i, 3rd March 2005 with J2SE 5.0 (formerly J2SE 1.5). For Windows: download and run program. Mac and Linux users Download your OS specific version of ImageJ from the ImageJ website then extract the following file to the plugins folder. Download WCIF ImageJ bundle plugins only (~2Mb) This contains only the plugins, IJ preferences, LUTs and plugin source code. Image Processing and Analysis Software ImageJ LSM Browser (*.lsm) Axiovision viewer (*.zvi) Manufacturers of our microscopes and related equipment Zeiss - Microscopes and imaging systems. P.A.L.M. Microlaser Technologies - Manufacturer of our laser capture system. Sutter Instruments - Micromanipulators. Uniblitz - Shutters. Ludl - Manufacturers of our motorised x-, y-stage Hamamatsu - Digital cameras. Molecular Probes - Dyes and reagents. Scanalytics - Image acquisition and processing software. MicroBrightField - Developers of the Neurolucida and Stereo Investigator software. DVC - Digital cameras. Bitplane - Developers of the Imaris suite of software. AutoQuant - Developers of the AutoDeblur deconvolution software | nif-0000-30471 | SCR_008488 | Wright Cell Imaging Facility | 2026-08-13 09:27:55 | 5 |
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