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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://scalablebrainatlas.incf.org/
A web-based, interactive brain atlas viewer, containing a growing number of atlas templates for various species, including mouse, macaque and human. Standard features include fast brain region lookup, point and click to select a region and view its full 3D extent, mark a stereotaxic coordinate and view all regions in a hierarchy. Built-in extensions are the CoCoMac plugin, which provides a spatial display of Macaque connectivity, and a service to transform stereotaxic coordinates to and from the INCF Waxholm space for the mouse. Three dimensional renderings of brain regions are available through a Matlab interface (local installation of Matlab required). The SBA is designed to be customizable. External users can create plugins, hosted on their own servers, to interactively attach images or data to spatial atlas locations. This fully web-based display engine for brain atlases and topologies allows client websites to show brain region related data in a 3D interactive context. Currently available atlases are: * Macaque: The Paxinos Rhesus Monkey atlas (2000) * Macaque: Various templates available through Caret, registered to F99 space: Felleman and Van Essen (1991), Lewis and Van Essen (2000), Regional Map from K��tter and Wanke (2005), Paxinos Rhesus Monkey (2000) * Macaque: The NeuroMaps Macaque atlas (2008) * Mouse: The INCF Waxholm Space for the mouse (2011). Previous versions available. * Mouse: The Allen Mouse Brain volumetric atlas (ABA07) * Human: The LPBA40 parcellation, registered to SRI24 space A variety of services are being developed around the templates contained in the Scalable Brain Atlas. For example, you can include thumbnails of brain regions in your own webpage. Other applications include: * Analyze atlas templates in Matlab * List all regions belonging to the given template * List of supported atlas templates * Find region by coordinate * Color-coded PNG (bitmap) or SVG (vector) image of a brain atlas slice * Region thumbnail in 2D (slice) or 3D (stack of slices) The Scalable Brain Atlas is created by Rembrandt Bakker and Gleb Bezgin, under supervision of Rolf K��tter in the NeuroPhysiology and -Informatics group of the Donders Institute, Radboud UMC Nijmegen.
Proper citation: Scalable Brain Atlas (RRID:SCR_006934) Copy
http://autismkb.cbi.pku.edu.cn/
Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities.
Proper citation: AutismKB (RRID:SCR_006937) Copy
http://purl.bioontology.org/ontology/RPO
A controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users'' communities
Proper citation: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology (RRID:SCR_006776) Copy
Repository for toxicogenomics data, including study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. Data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. Data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but study design and phenotypic anchoring data are required.CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Biomedical Investigation Database is another component of CEBS system. used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee. BID has been shared with Health Canada and the US Environmental Protection Agency.
Proper citation: Chemical Effects in Biological Systems (CEBS) (RRID:SCR_006778) Copy
http://purl.bioontology.org/ontology/WB-LS
A structured controlled vocabulary of the development of Caenorhabditis elegans.
Proper citation: C. elegans Development Vocabulary (RRID:SCR_006811) Copy
http://www.dkfz.de/en/mga/Groups/LIFEdb-Database.html
Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice.
Proper citation: LifeDB (RRID:SCR_006899) Copy
Accepts and provides access to biogeographic data collected throughout the global oceans. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations. Created by the Census of Marine Life, OBIS is now part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme
Proper citation: OBIS (RRID:SCR_006933) Copy
http://thompsoncenter.missouri.edu/
The mission of the Thompson Center is to improve the lives of individuals and families affected by autism and neurodevelopmental disorders through world class programs that integrate research, clinical service delivery, education and public policy. The Thompson Center''s vision is to become a recognized national center of excellence that serves as a model of interdisciplinary practice, research and training in the field of autism and neurodevelopmental disorders. At the MU Thompson Center, education and training activities are a key part of our mission. Our goal is to teach others about the needs of persons with autism and other neurodevelopmental disorders and their families. In addition, we strive to help learners acquire skills needed to improve the outcomes of individuals with developmental differences. These skills include evidence-based assessment and intervention strategies, interdisciplinary approaches to service delivery, research methods, and policy development. The Thompson Center offers a range of health, educational and behavioral services in one location for individuals with autism and other developmental concerns. Professionals from different disciplines strive to deliver family-centered care that is comprehensive and coordinated. Autism recently has been recognized as a national public health concern, and federal research funding in this area has increased substantially. Faculty members engage in research that will lead to early identification, treatment and ultimately prevention of autism spectrum disorders (ASD). How findings may eventually translate into improved outcomes in clinical and community settings is a primary goal of our research.
Proper citation: Thompson Center for Autism and Neurodevelopmental Disorders (RRID:SCR_006812) Copy
http://www.ensemblgenomes.org/
Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.
Proper citation: Ensembl Genomes (RRID:SCR_006773) Copy
Offers one and two week short courses in bioinformatics, genomics and proteomics in response to an identified need for a skilled bioinformatics workforce in Canada. For eight years, the series offered short courses in bioinformatics, genomics and proteomics in various cities across Canada. Taught by top faculty from Canada and the US, the courses offered small classes and hands-on instruction. The CBW initiated development of a new format and series of exciting workshops focusing on training the researchers of these advanced technologies on the latest approaches being used in computational biology to deal with the new data. Past workshop content is available under a Creative Commons License.
Proper citation: Canadian Bioinformatics Workshops (RRID:SCR_006774) Copy
http://sourceforge.net/projects/aeo/
AEO represents the Adverse Event Ontology, a community-driven ontology developed to standardize and integrate data on biomedical adverse events (e.g., vaccine adverse events) and support computer-assisted reasoning. The AEO also can be found in BioPortal, http://bioportal.bioontology.org/ontologies/45534?p=terms
Proper citation: Adverse Event Ontology (RRID:SCR_006807) Copy
http://bmsr.usc.edu/software/adapt/
Software tool as plug-in developed for ImageJ/FIJI platform to automatically detect and analyse cell migration and morphodynamics. Provides whole cell analysis of multiple cells, while also returning data on individual membrane protrusion events.
Proper citation: ADAPT (RRID:SCR_006769) Copy
http://purl.bioontology.org/ontology/WB-PHENOTYPE
A structured controlled vocabulary of Caenorhabditis elegans phenotypes.
Proper citation: C. elegans Phenotype Vocabulary (RRID:SCR_006924) Copy
http://compbio.bccrc.ca/software/jointsnvmix/
Software that implements a probabilistic graphical model to analyze sequence data from tumor / normal pairs. The model draws statistical strength by analysing both genome jointly to more accurately classify germline and somatic mutations. It effectively reduces false positive somatic mutation predictions in tumour-normal pair sequencing data. It is highly recommended to post-process results with mutationSeq in order to filter technical artifacts.
Proper citation: JointSNVMix (RRID:SCR_006804) Copy
Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) established to increase knowledge and understanding about diseases of the kidneys and urologic system among people with these conditions and their families, health care professionals, and the general public: online, in booklets and fact sheets, by email, and over the phone. To carry out this mission, NKUDIC works closely with a coordinating panel of representatives from Federal agencies; voluntary organizations on the national level; professional groups; and State health departments to identify and respond to informational needs about kidney and urologic diseases. NKUDIC provides the following informational products and services: * Response to inquiries about kidney and urologic diseases-ranging from information about available patient and professional education materials to statistical data. By phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about specific kidney and urologic diseases, provided free of copyright, in varying reading levels. Available online or as booklets and brochures. (See our Publications Catalog.) NKUDIC also sends publications to health fairs and community events. Please contact us for more information. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus includes a consumer-friendly listing of organizations that will assist you in your search for physicians and other health professionals. * Exhibits at professional meetings specific to kidney and urologic diseases, as well as cross-cutting professional meetings. NKUDIC exhibits at 11 professional meetings, each year, including Society of Urologic Nurses and Associates, American Urologic Association, American Society of Nephrology, National Kidney Foundation, Polycystic Kidney Disease Research Foundation, American Academy of Family Physicians, American Academy of Physician Assistants, American Nurses Association, and the National Conference for Nurse Practitioners.
Proper citation: National Kidney and Urologic Diseases Information Clearinghouse (RRID:SCR_006842) Copy
Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice.
Proper citation: InnateDB (RRID:SCR_006714) Copy
http://purl.bioontology.org/ontology/WB-BT
A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.
Proper citation: C. elegans Gross Anatomy Vocabulary (RRID:SCR_006835) Copy
http://dally.nimh.nih.gov/index.html
A program developed by the NIMH Laboratory of Neuropsychology for data acquisition and experimental control of neurophysiological experiments. The purpose of this website is to make it easier to access new versions of NIMH CORTEX and its supporting documents. Ultimately, it is also hoped that these pages will make it easier for users to report bugs, request enhancements, and obtain help. Download the latest version and unzip it into a new sub-directory. Then read the on-line documentation. For the new user, the User''s Manuals are invaluable in specifying system requirements and giving an overview of the features and necessary hardware. The Function reference goes into more detail about how to write experiments using NIMH CORTEX. The Demos reference is a good place for new and experienced users to start to get an idea of what NIMH CORTEX can do these days.
Proper citation: NIMH CORTEX (RRID:SCR_006837) Copy
canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data.
Proper citation: canSAR (RRID:SCR_006794) Copy
http://purl.bioontology.org/ontology/IDOBRU
A biomedical ontology in the domain of zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular baterium.
Proper citation: Brucellosis Ontology (RRID:SCR_006795) Copy
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