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Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts.
Proper citation: Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) Copy
Knowledge management system designed to handle neurobiological information at different levels of organization of vertebrate nervous system. Database and repository for information about neural circuitry, storing and analyzing data concerned with nomenclature, taxonomy, axonal connections, and neuronal cell types. Handles data and metadata collated from original literature, or inserted by scientists that is associated to four levels of organization of vertebrate nervous system. Data about expressed molecules, neuron types and classes, brain regions, and networks of brain regions.
Proper citation: Brain Architecture Management System (RRID:SCR_007251) Copy
Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.
Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.
Proper citation: T1DBase (RRID:SCR_007959) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on Feb. 05, 2014, however, NIF holds the Research Crossroads data and makes it available through Integrated Grants. World of publicly funded research aggregated into a database providing funding, publication, clinical trial and grant data from government and private research agencies. Advanced reporting and analysis tools are then used to connect research to researchers, organizations and topic areas to uncover non-obvious associations. Use ResearchCrossroads for: Researchers * Make your research visible to funding organizations and collaborators. * Connect with peers to stay up to date on their research progress * Update your investigator profile, biography and publications so funding organizations can find you * Discover available funding from private foundations and government funding organizations * Annotate your previous research grants with outcomes * Create a research diary and participate in discussions with your peers Foundations Participating in ResearchCrossroads is free if you share your research data. Send us a spreadsheet with your grant and investigator information. * Create a community for your researchers to learn from each other * Locate potential investigators and collaborators * Post available funding and be matched with investigator profiles * Access to analytical reporting of funding and research statistics * Update your personalized organization profile page * Display your logo in search results * Link to your ResearchCrossroads grants and investigator profiles from your own website Corporations, Academia & Governments Contact us about subscriptions to funding trend analytics and marketing opportunities. * In-depth reporting of 15 years of funding data from government and private institutions * Subscriptions available to advanced analysis & reporting tools * Display your corporate logo in search results * Update your organization profile page * Highly targeted marketing & advertising by research areas, keywords and categories of investigator * Register for notifications of the newest grants in your area of interest
Proper citation: ResearchCrossroads (RRID:SCR_008261) Copy
Aggregator of blogs about new developments in science and other fields that allows readers to easily find blog posts about serious peer-reviewed research, instead of just news reports and press releases. If you''re a blogger who writes about serious research, Research Blogging offers you a way to distinguish your serious posts from news, politics, family, bagpipes, and so on. They can direct your regular readers - and new readers - to the posts you''ve worked the hardest to create. All you need to get started is a blog and a peer-reviewed research report that you''d like to discuss. How it works * Bloggers -- often experts in their field -- find exciting new peer-reviewed research they''d like to share. They write thoughtful posts about the research for their blogs. * Bloggers register and use a simple one-line form to create a snippet of code to place in their posts. This snippet not only notifies this site about their post, it also creates a properly formatted research citation for their blog. * Their software automatically scans registered blogs for posts containing their code snippet. When it finds them, it indexes them and displays them on their front page -- thousands of posts from hundreds of blogs, in one convenient place, organized by topic. * Their editors identify the notable posts in each major discipline, publishing the results on their news page. * Other services like PubGet index their database as well, so every time readers search for a journal article, they can also locate blog posts discussing the article. * The quality of the posts listed on their site is monitored by the member bloggers. If a post doesn''t follow their guidelines, it is removed from their database. Borderline cases may be discussed publicly on the blog as well. Bloggers are also provided with an icon they can use to show when they''re talking about a peer-reviewed work that they''ve read and analyzed closely. There are already over seven thousand blog posts using the icon, and now it''s easier than ever to find them.
Proper citation: Research Blogging (RRID:SCR_008786) Copy
Center mission is to advance medical and biological research by providing the scientific community with standardized, high quality metabolic and physiologic phenotyping services for mouse models of diabetes, diabetic complications, obesity and related disorders.
Proper citation: National Mouse Metabolic Phenotyping Centers (RRID:SCR_008997) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-18/search?q=*&l=
A virtual database cataloging numerous data set resources, including: BrainMaps.org, Cell Centered Database, Clinical Trials Network (CTN) Data Share, ClinicalTrials.gov, CRCNS, Gene Expression Omnibus, ArrayExpress, MPD - Mouse Phenome Database, BioSharing, Gene Weaver, XNAT Central, 1000 Functional Connectomes Project, Health.Data.gov, SciCrunch Registry, NIF Registry Automated Crawl Data, NeuroVault, OpenfMRI, Physiobank, RanchoBiosciences, YPED, Data.gov Science, and Research Data Catalog.
Proper citation: Integrated Datasets (RRID:SCR_010503) Copy
A database of job listings
Proper citation: Indeed (RRID:SCR_000292) Copy
http://neuroinformatics.kiv.zcu.cz/articles/read/eegerp-portal-eegbase-_2014-12-19
EEG base is a system for storage and management of EEG/ERP resources - data, metadata, tools and materials related to EEG/ERP experiments. EEG base advances electrophysiology research by enabling access to public data, tools and results of research groups. The system essentially offers the following set of features (the set of accessible features depends on a specific user role): * User authentication * Storage, update, and download of EEG/ERP data and metadata * Storage, update and download of EEG/ERP experimental design (experimental scenarios) * Storage, update and download of data related to testing subjects * Fulltext search * Sharing of knowledge and working in groups The system is based on tree layer architecture (MVC pattern) consisting of persistent layer (relational database), application layer (object oriented code, object relational mapping from persistence layer) and presentation layer (JSP). The persistence layer uses Hibernate framework; Oracle 11g database server is used to ensure the processing of large data files. Application and presentation layers are designed and implemented using Spring technology. This framework supports MVC architecture, Dependency injection and Aspect Oriented Programming. There were no significant difficulties with integration of both frameworks, Hibernate and Spring MVC. Spring Security framework is used to ensure management of authentication and user roles. Since the system is thought to be finally open to the whole EEG/ERP community it is necessary to protect EEG/ERP data and metadata, and especially personal data of testing subjects stored in the database from an unauthorized access. Then a restricted user policy is applied and user roles are introduced. The complete overview of the system features and user roles (use case diagram) is available in (Pergler 2009). Concerning the architectural layers there is a question which layer is more feasible for mapping of its structure into ontology. Currently we have studied two possibilities: * Mapping from the persistence layer (relational database) * Mapping from the application layer (object oriented code) The mapping from the application layer to an ontology includes the precedent object relational mapping provided by Hibernate framework.
Proper citation: EEGbase (RRID:SCR_001452) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-1/search?q=*&l=
Integrated Animals is a virtual database currently indexing available animal strains and mutants from: AGSC (Ambystoma), BCBC (mice), BDSC (flies), CWRU Cystic Fibrosis Mouse Models (mice), DGGR (flies), FlyBase (flies), IMSR (mice), MGI (mice), MMRRC (mice), NSRRC (pig), NXR (Xenopus), RGD (rats), Sperm Stem Cell Libraries for Biological Research (rats), Tetrahymena Stock Center (Tetrahymena), WormBase (worms), XGSC (Xiphophorus), ZFIN (zebrafish), and ZIRC (zebrafish).
Proper citation: Integrated Animals (RRID:SCR_001421) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Consortium to advance the understanding of intestinal epithelial stem cell biology during development, homeostasis, regeneration and disease. Its immediate goals are to isolate, characterize, culture and validate populations of intestinal stem cells; answer major questions in stem cell biology of the intestinal epithelium; and accelerate research by making information and resources available to the research community. Resources include data sets, protocols, and a resource catalog. Long-term goals include: 1) laying the ground work for therapeutic manipulation of the intestinal epithelium 2) contributing to the greater understanding of stem cell biology through knowledge of the intestine as a model stem cell-driven system. Research Projects are housed at 8 institutions across the nation: Oregon Health & Science University, Stanford University, Stowers Institute for Medical Research, University of California, Los Angeles School of Medicine (UCLA) (partnered with the VA Greater Los Angeles), University of North Carolina, Chapel Hill (UNC), University of Oklahoma, University of Pennsylvania, and University of Pittsburgh.
Proper citation: Intestinal Stem Cell Consortium (RRID:SCR_001555) Copy
http://www.findmice.org/index.jsp
Database of mouse strains and stocks available worldwide, that will assist international research community in finding mouse resources they need, including inbred, mutant, and genetically engineered mice. IMSR is multi institutional international collaboration supporting use of mouse as model system for studying human biology and disease. IMSR began with initial collaboration between Mouse Genome Informatics (MGI) group at Jackson Laboratory and Medical Research Council Mammalian Genetics Unit at Harwell. Additional institutions and collaborators are now contributing mouse resource information to IMSR. Data content found in IMSR is as it was supplied by data provider sites. You are encouraged to participate in making this database as complete as possible for all worldwide mouse strain resources. If you or your institution hold mice, cryopreserved gametes or embryos, or ES cell lines that you distribute to other researchers, contributing information about them to IMSR catalog will make them more widely known.
Proper citation: International Mouse Strain Resource (RRID:SCR_001526) Copy
http://www.animalgenome.org/cgi-bin/QTLdb/index
Database of trait mapping data, i.e. QTL (phenotype / expression, eQTL), candidate gene and association data (GWAS) and copy number variations (CNV) mapped to livestock animal genomes, to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features, such as annotated genes. QTLdb is open to house QTL/association date from other animal species where feasible. Most scientific journals require that any original QTL/association data be deposited into public databases before paper may be accepted for publication. User curator accounts are provided for direct data deposit. Users can download QTLdb data from each species or individual chromosome.
Proper citation: Animal QTLdb (RRID:SCR_001748) Copy
Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.
Proper citation: ATCC (RRID:SCR_001672) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The NeuroFed resource is a listing of neuroscience research funding contacts in the Federal government. It is an informal compendium (PDF) of names and contact information for nearly 300 research grant and scientific review administrators in 21 organizational units of the federal government. An electronic (PDF) version of the most recent update of this list is available on the Society for Neuroscience website at: http://www.sfn.org/index.aspx?pagename=professionalDevelopment_training. The list is updated annually by NIH personnel.
Proper citation: Neurofed (RRID:SCR_002011) Copy
Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions.
Proper citation: ASPGD (RRID:SCR_002047) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2017. Database of images depicting the spatial distribution of 2-deoxyglucose uptake evoked in the glomerular layer of the rat olfactory bulb in response to a wide range of defined odorant stimuli. A number of different display and comparison tools are provided allowing patterns to be viewed from different perspectives, and descriptions of the methods and interpretations of these data are provided. Some of the more advanced tools require you to download software.
Proper citation: Glomerular Activity Response Archive (RRID:SCR_002089) Copy
Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets.
Proper citation: Reactome (RRID:SCR_003485) Copy
http://www.rcpsych.ac.uk/pressparliament/podcasts.aspx
Each month our podcast team will be broadcasting the very latest breakthroughs and discoveries in neurosciences, psychiatry and psychology.
Proper citation: Royal College of Psychiatrists Podcasts (RRID:SCR_003913) Copy
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