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http://celltypes.org/

Central repository of information on neuronal cell types mainly accumulating information on: Genetically labeled cell types in mouse brain and genetically engineered mouse lines for cell type research. Mouse lines are annotated with * Atlas for examining transgene expression patterns * Information on construct used to generate transgene * Associated publications * Anatomical regions where transgene is expressed (based on Atlas) * Information on where to obtain the animals Currently, the mouse lines in the database are mostly generated at Cold Spring Harbor Lab, Scripps Research Institute, Baylor College of Medicine and Brandeis University with few other exceptions. In the future, they will incorporate more mouse lines useful for neuronal cell type research. Cell types are annotated with * Anatomical region * Properties (frequently used terms in neuroscience research) * Mouse line used to define the cell type * Genome wide transcriptome data (if available) * Specific (marker) genes (if available) * Marker immunostaining data (if available) * Associated publications * Electrophysiological characterizations (when available) * Morphological characterizations (when available)

Proper citation: celltypes.org (RRID:SCR_004545) Copy   

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https://www.nitrc.org/projects/atpp

Integrated pipeline for tractography-based brain parcellation with automatic processing and massive parallel computing. ATPP offers a CLI version for parcellating multiple brain regions and a GUI version for parcellating a specific brain region. " ATPP completely follows the scientific cultural shift to open science, which aims at making scientific research including journal papers, lab notes, data, and, of course, workflow tools, accessible and transparent to all levels of society. ATPP is publicly accessible in Neuroimaging Informatics Tools and Resources Clearinghouse8 (NITRC) (https://www.nitrc.org/projects/atpp). Its source codes are hosted in GitHub9 (https://github.com/haililihai/ATPP_CLI; https://github.com/haililihai/ATPP_GUI), under the GNU generic purpose license version 310 (GPLv3), and are welcome to download and fork. The Digital Object Identifiers (DOIs) providing a persistent way to make digital data easily and uniquely citable was created from Zenodo11 platform with those GitHub repositories (ATPP CLI v2.0.0, doi: https://doi.org/10.5281/zenodo.239702; ATPP GUI v2.0.0, doi: https://doi.org/10.5281/zenodo.239705). "

Proper citation: Automatic Tractography-based Parcellation Pipeline (RRID:SCR_014815) Copy   

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http://www4.wiwiss.fu-berlin.de/bizer/d2r-server/

D2R Server is a tool for publishing relational databases on the Semantic Web. It enables RDF and HTML browsers to navigate the content of the database, and allows applications to query the database using the SPARQL query language. Data on the Semantic Web is modeled and represented in RDF. D2R Server uses a customizable D2RQ mapping to map database content into this format, and allows the RDF data to be browsed and searched the two main access paradigms to the Semantic Web. D2R Server''s Linked Data interface makes RDF descriptions of individual resources available over the HTTP protocol. An RDF description can be retrieved simply by accessing the resource''s URI over the Web. Using a Semantic Web browser like Tabulator (slides) or Disco, you can follow links from one resource to the next, surfing the Web of Data. The SPARQL interface enables applications to search and query the database using the SPARQL query language over the SPARQL protocol. Requests from the Web are rewritten into SQL queries via the mapping. This on-the-fly translation allows publishing of RDF from large live databases and eliminates the need for replicating the data into a dedicated RDF triple store. The latest source code is available from the project''s CVS repository and can be browsed online.

Proper citation: D2R Server - Publishing Relational Databases on the Semantic Web (RRID:SCR_004963) Copy   

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http://www.sanger.ac.uk/Projects/C_elegans/index.shtml

The Sanger Institute and the Genome Sequencing Center at the Washington University School of Medicine, St. Louis have collaborated to sequence the genomes of both C. elegans and C. briggsae. The completed C. elegans genome sequence is represented by over 3,000 individual clone sequences which can be accessed through this site (or through WormBase). These sequences are submitted to EMBL whenever the sequence or annotation changes (e.g. modification to gene structures) and these submissions are then mirrored to GenBank and DDBJ. These sequences (along with ESTs and proteins) can be searched on our C. elegans BLAST server. WormBase is the repository of mapping, sequencing and phenotypic information for C. elegans. The worm informatics group at the Sanger Institute play a key role in assembling the whole database. They also curate and develop some of the constituent databases that comprise WormBase.

Proper citation: Caenorhabditis Genome Sequencing Projects (RRID:SCR_008155) Copy   

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http://cbio.mskcc.org/

Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling

Proper citation: Computational Biology Center (RRID:SCR_002877) Copy   

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http://cancer.case.edu/

Core is a partnership organization supporting all cancer-related research efforts at CWRU, University Hospitals Case Medical Center, and the Cleveland Clinic. The Case CCC is organized into 9 interdisciplinary scientific programs plus one program initiative. Research programs of the Case CCC are extending into CWRU affiliated hospitals including MetroHealth Medical Center (the region's county hospital), Louis Stokes Veterans Affairs Hospital, and 13 community medical centers operated by University Hospitals and Cleveland Clinic. The Center operates an NCI-supported Cancer Information Service (CIS) serving the northern half of Ohio as part of the Midwest consortium and has an active outreach program for clinical practice-based prevention and screening initiatives, educational programs, minority recruitment, and facilitation of patient referrals. Case CCC is a member of NCI's CaBIG initiative and is actively pursuing electronic databases for clinical trials, tissue repositories, and related bioinformatics.

Proper citation: Case Western Reserve University Case Comprehensive Cancer Center (RRID:SCR_004387) Copy   

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http://www.thehumanbrain.info/

www.thehumanbrain.info is a unique repository that provides the most detailed and accurate delineations of the brain structures available. It offers multiple, multifarious tools for educational training and scientific use. Free content of the website: Series of images from several heads depicting head and brain anatomy in detail Brain structures are presented in the standard stereotaxic space Consistent color coding uses the same color fr individual structures that can be followed from section to section but also identifying same structures in horizontal, coronal and sagittal planes through the complete head and isolated brain Multiple languages support Innovative navigations allowing effortless switch between the names and descriptions of anatomical structures Terminology organized into a hierarchy defined upon a partitive relationship Structure description Supplementary high resolution images (X-ray, cyto- and myeloarchitecture) Advanced search facilities for structures and abbreviations

Proper citation: The Human Brain.info (RRID:SCR_008008) Copy   

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https://fairsharing.org/collections/

Web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with integrated view across all three types of resource. By registering your resource on FAIRsharing, you gain credit for your work, increase its visibility outside of your direct domain, reduce potential for unnecessary reinvention and proliferation of standards and databases.

Proper citation: FAIRsharing (RRID:SCR_004177) Copy   

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http://www.wakehealth.edu/Research/WFUPC/Cynomolgus-Breeding-Colony-Request-Form-Instructions.htm

The Wake Forest Cynomolgus Breeding Colony (CBC) is a colony of cynomolgus macaques (crab-eating macaques, Macaca fascicularis). The cynomolgus colony is designed to produce specific pathogen free (SPF) cynomolgus monkeys for use in biomedical research. The colony, supported by a grant from the NCRR, addresses the growing need for investigators to use in their protocols animals defined for the absence of specific diseases including CHV-1 (Herpes B), simian immunodeficiency virus, and simian retroviruses. An additional important characteristic of this colony is that, unlike many breeding colonies, the NHPs will be fed two defined diets. The first diet is a soy-free diet, not commercial monkey chow. The second diet has the same macronutrients but the protein source is from soy; similar in isoflavone content. A drawback of chow diets is that the exact nutritional product composition is unknown from lot to lot. However, they are always rich in soy bean meal, isoflavones and other constituents of soy bean meal that are known confounders of several types of research projects. All research using the cynomolgus colony must be reviewed and approved by the colony''s scientific board and the Wake Forest Animal Care and Use Committee (ACUC) before any work can be initiated. The scientific board meets regularly to assess the scientific value of each request and to determine whether or not animals/samples/data can be made available. This includes all requests for: # The purchase of animals for use outside the colony # The use of animals within the colony for the collection of blood/tissue samples, behavioral observations or other kinds of testing # The use of the CBC sample/tissue repository # The use of the CBC data repository

Proper citation: Wake Forest Cynomolgus Breeding Colony (RRID:SCR_006605) Copy   

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http://www.ncbi.nlm.nih.gov/unists

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database of sequence tagged sites (STSs) derived from STS-based maps and other experiments. STSs are defined by PCR primer pairs and are associated with additional information such as genomic position, genes, and sequences. Chromosome maps are labeled by name of the originating organism, the map title, total markers, total UniSTSs and links to view maps as well as research documents available through PubMed, another NCBI database. The search functions within UniSTS allow the user to search by gene marker, chromosome, gene symbol and gene description terms to locate markers on specified genes. A representation of the UniSTS datasets is available by ftp. NOTE: All data from this resource have been moved to the Probe database, http://www.ncbi.nlm.nih.gov/probe. You can retrieve all UniSTS records by searching the probe database using the search term unists(properties). (use brackets insead of parenthesis). Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists).

Proper citation: UniSTS (RRID:SCR_006843) Copy   

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http://www.mitk.org/DiffusionImaging

A selection of image analysis algorithms for the processing of diffusion-weighted MR images. Features & Highlights * Tensor and q-ball reconstruction * Glyph visualization * Quantification and partial volume clustering of tensor and q-ball images * Global fiber tractography, visualization, and tract post-processing * Brain network statistics and visualization (connectomics) * Interactive exploration of Tract-based spatial statistics (TBSS) results * Intra-voxel incoherent motion (IVIM) estimation * Synthetic data generation Additional system specific requirements: * Windows: If you have problems running the Windows application, please install the Microsoft Redistributable Packages for VS 2008: 32 bit or 64 bit * Linux: the Qt framework, version 4.6.2 or later Tested systems: Windows 7, Windows Vista; Ubuntu 12.04 and newer; OS X 10.6 (Snow Leopard), OS X 10.8 (Mountain Lion) The OS X 10.6 installer is compatible with OS X 10.7 (Lion) so there is no dedicated disk image build under 10.7. The MITK Diffusion application is based on the MITK research platform and the most of it is open-source. The available code is embedded into the source code of MITK as a module and can be accessed through the public git repository.

Proper citation: MITK Diffusion (RRID:SCR_006846) Copy   

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http://www.nsabp.pitt.edu/NSABP_Pathology.asp

The NSABP (National Surgical Adjuvant Breast and Bowel Project) Tissue Bank is the central repository of tissue samples (stained and unstained slides, tissue blocks, and frozen tissue specimens) collected from clinical trials conducted by the NSABP. The main scientific aim of the NSABP Division of Pathology is to develop clinical context-specific prognostic markers and predictive markers that predict response to or benefit from specific therapeutic modality. To achieve this aim, the laboratory collects the tumor and adjacent normal tissues from cancer patients enrolled into the NSABP trials through its membership institutions, and maintain these valuable materials with clinical follow-up information and distribute them to qualified approved investigators. Currently, specimens from more than 90,000 cases of breast and colon cancer are stored and maintained at the bank. Paraffin embedded tumor specimens are available from NSABP trials. We currently do not bank frozen tissues. All blocks are from patients enrolled in prospective NSABP treatment protocols and complete clinical follow up information as well as demographic information is available. Depending on the project, unstained tissue sections of 4-micrometer thickness, tissue microarrays, or stained slides are provided to the investigators in a blinded study format. Any investigators with novel projects that conform to the research goals of NSABP may apply for the tissue. Please refer to the NSABP Tissue Bank Policy to determine if your project conforms to these goals. Priority is given to NSABP membership institutions who regularly submit tissue blocks.

Proper citation: National Surgical Adjuvant Breast and Bowel Project Tissue Bank (RRID:SCR_004506) Copy   

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http://www.rightfield.org.uk/

An open-source tool for adding ontology term selection to Excel spreadsheets. It is used by a "Template Creator" to create semantically aware Excel spreadsheet templates. The Excel templates are then reused by Scientists to collect and annotate their data; without any need to understand, or even be aware of, RightField or the ontologies used. For each annotation field, RightField can specify a range of allowed terms from a chosen ontology (subclasses, individuals or combinations). The resulting spreadsheet presents these terms to the users as a simple drop-down list. This reduces the adoption barrier for using community ontologies as the annotation is made by the scientist that generated the data rather than a third party, and the annotation is collected at the time of data collection. RightField is a standalone Java application which uses Apache-POI for interacting with Microsoft documents. It enables users to import Excel spreadsheets, or generate new ones from scratch. Ontologies can either be imported from their local file systems, or from the BioPortal ontology repository. Individual cells, or whole columns or rows can be marked with the required ranges of ontology terms and an individual spreadsheet can be annotated with terms from multiple ontologies.

Proper citation: RightField (RRID:SCR_002649) Copy   

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http://www.wiki-health.org/about/overview.php

WikiHealth is a collaborative online health and wellness community where your participation makes a difference! WikiHealth''s goal is to offer the most comprehensive, current and insightful information to help anyone and everyone achieve optimal health. Our belief is that your knowledge matters--- and you can help others by sharing what you know. WikiHealth is a collaborative writing project aiming to build an extensive and valueable repository on a variety of health and wellness topics. Our mission is to bring free, accesible and thorough information on health and wellness into the homes of every individual worldwide. The goal is for new articles on any health and wellness topic to be added regularly and for existing articles to be improved by volunteer contributors. In time, we envision WikiHealth to be the best health resource to come to for unbiased information as well as prescriptive advice on any health or wellness topic. Please join us by writing a new article or editing an existing one.

Proper citation: WikiHealth (RRID:SCR_004381) Copy   

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http://www.alphaone.ufl.edu/dna_tissue_bank1.html

The Alpha-1 Foundation DNA and Tissue Bank, established in 2000 by the Alpha-1 Foundation, is a repository specifically for medical information (hyperlink to data points) and tissue samples (DNA, plasma, lung/liver) for alpha-1-antitrypsin deficient individuals, their family and friends. The Bank serves the international scientific community. Currently the Bank has the largest collection of DNA in the world for Alpha-1-antitrypsin research studies. The Alpha-1 Foundation has established a Tissue Bank Advisory Committee which includes a wide representation of physicians, ethicists, attorneys, consumers as well as international experts in tissue banking. Collectively this Advisory Committee reviews requests for research. At this time the Bank has over 2400 members who have provided valuable medical and/or tissue samples. For investigators interested in obtaining tissue samples with phenotypes from the Bank, please contact the Alpha-1 Foundation or our research staff at the University of Florida.

Proper citation: University of Florida DNA and Tissue Bank (RRID:SCR_006581) Copy   

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http://xula.eagle-i.net/i/00000135-0c6f-559b-77e4-a45080000000

Core facility that provides the following services: Tissue procurement, Quality assurance/histopathologic review, Biospecimen storage. The Louisiana Cancer Research Consortium (LCRC) Tissue Procurement and Biospecimen Core Facility (TPBCF) is a part of the infrastructure to support the conduct of basic and clinical research for members of the LCRC. The goal of the repository is to support LCRC programmatic research in order to further improve our understanding of those molecular factors that contribute to cancer and that may lead to prevention, early detection, and cure. The mission of the Biospecimen Core is to collect high quality samples of normal and diseased human material (e.g., whole blood, cellular blood components, plasma, urine, body fluids, DNA, and tumor tissue and cells) with appropriate clinical data and to make this material available to qualified researchers at Louisiana Cancer Research Consortium while ensuring the informed consent, safety, donor anonymity, and all regulatory safeguards are in place.

Proper citation: LCRC Biospecimen Core (RRID:SCR_009895) Copy   

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http://www.benchwise.org/

Repository of peer reviews of antibodies to help scientists find the right tools fast. Researchers from schools including Stanford, Harvard, John Hopkins have contributed reviews of over 1500 antibodies. Most of these reviews contain experimental details that are hard to find in publications and yet crucial for the success of antibody usage. In addition, scientists are enabled to connect through knowledge of expertise, as members are required to use their real names and lab affiliations. BenchWise is currently open to a select list of leading research institutes and is completely free. Scientists waste over 100 hours a year on either bad antibodies or finding out the right antibody usage condition, despite the fact that someone, somewhere likely has already done the same. They want to solve this problem by enabling scientists to share their product usage knowledge. Antibody records that are documented in spreadsheets are also accepted and will be parsed into individual reviews and uploaded to save you time.

Proper citation: BenchWise (RRID:SCR_006364) Copy   

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http://scholar.google.com/

Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research. Features of Google Scholar * Search diverse sources from one convenient place * Find articles, theses, books, abstracts or court opinions * Locate the complete document through your library or on the web * Learn about key scholarly literature in any area of research How are documents ranked? Google Scholar aims to rank documents the way researchers do, weighing the full text of each document, where it was published, who it was written by, as well as how often and how recently it has been cited in other scholarly literature. * Publishers - Include your publications in Google Scholar * Librarians - Help patrons discover your library''s resources

Proper citation: Google Scholar (RRID:SCR_008878) Copy   

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http://bussemakerlab.org/YeastTransfactomeDB/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A repository of sequence specificity models and condition-specific regulatory activities for a large number of DNA- and RNA-binding proteins in Saccharomyces cerevisiae. Accurate and comprehensive information about the nucleotide sequence specificity of trans-acting factors (TFs) is essential for computational and experimental analyses of gene regulatory networks. The sequence specificities in TransfactomeDB, represented as position-specific affinity matrices (PSAMs), are directly estimated from genomewide measurements of TF-binding using our previously published MatrixREDUCE algorithm, which is based on a biophysical model. For each mRNA expression profile in the NCBI Gene Expression Omnibus, we used sequence-based regression analysis to estimate the post-translational regulatory activity of each TF for which a PSAM is available. The trans-factor activity profiles across multiple experiments available in TransfactomeDB allow the user to explore potential regulatory roles of hundreds of TFs in any of thousands of microarray experiments.

Proper citation: Yeast Transfactome Database (RRID:SCR_000599) Copy   

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http://www.lead-dbs.org/

MATLAB toolbox for deep-brain-stimulation (DBS) electrode reconstructions and visualizations based on postoperative MRI and computed tomography (CT) imaging. The toolbox also facilitates visualization of localization results in 2D/3D, analysis of DBS-electrode placement's effects on clinical results, simulation of DBS stimulations, diffusion tensor imaging (DTI) based connectivity estimates, and fiber-tracking from the VAT to other brain regions (connectomic surgery).

Proper citation: LEAD-DBS (RRID:SCR_002915) Copy   

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