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http://www.mprc.umaryland.edu/mbc.asp

The Maryland Brain Collection (MBC), a resource of the Maryland Psychiatric Research Center (MPRC), is dedicated to promoting research with brain tissue obtained post-mortem from individuals with schizophrenia or related disorders. The primary goal of the MBC is to provide high-quality tissue, along with comprehensive clinical information, for hypothesis-driven research. The MBC is not conceptualized as a Brain Bank with open access but is maintained and funded through collaborative research. The Maryland Brain Collection is managed by researchers at the Maryland Psychiatric Research Center (MPRC). MPRC scientists are dedicated to understanding the causes and improving the treatment of mental illness. The Maryland Brain Collection is associated with the Office of the Chief Medical Examiner for the State of Maryland and other donor sources. MPRC scientists collaborate with scientists from around the world to understand how abnormalities in brain tissue relate to mental illness. The purpose of the MBC is to study the following: Schizophrenia, Bipolar Disorder, Depression, Suicide/Teen suicide, Substance Abuse.

Proper citation: Maryland Brain Collection (RRID:SCR_004384) Copy   

•   Source: SciCrunch Registry

http://rulai.cshl.edu/SCPD/

A promoter database of Saccharomyces cerevisiae. Users can explore the promoter regions of ~6000 genes and ORFs in yeast genome, annotate putative regulatory sites of all genes and ORFs, locate intergenic regions, and retrieve sequence of the promoter region. In regards to regulatory elements and transcription factors, users can provide information on transcriptionally related genes, browse matrix and consensus sequences, view the correlation between elements, observe binding affinity and expression, and look at genomewise distribution. SCPD also provides some simple but useful tools for promoter sequence analysis. Gene, consensus and matrix records may be submitted.

Proper citation: SCPD - Saccharomyces cerevisiae promoter database (RRID:SCR_004412) Copy   

•   Source: SciCrunch Registry

http://www.irisa.fr/symbiose/projects/gassst/

Software that finds global alignments of short DNA sequences against large DNA banks. It is able to perform fast gapped alignments and works well for both short and longer reads. It has been tested for reads up to 500bp.

Proper citation: GASSST (RRID:SCR_004413) Copy   

•   Source: SciCrunch Registry

http://sequenceontology.org/

A collaborative ontology for the definition of sequence features used in biological sequence annotation. SO was initially developed by the Gene Ontology Consortium. Contributors to SO include the GMOD community, model organism database groups such as WormBase, FlyBase, Mouse Genome Informatics group, and institutes such as the Sanger Institute and the EBI. Input to SO is welcomed from the sequence annotation community. The OBO revision is available here: http://sourceforge.net/p/song/svn/HEAD/tree/ SO includes different kinds of features which can be located on the sequence. Biological features are those which are defined by their disposition to be involved in a biological process. Biomaterial features are those which are intended for use in an experiment such as aptamer and PCR_product. There are also experimental features which are the result of an experiment. SO also provides a rich set of attributes to describe these features such as polycistronic and maternally imprinted. The Sequence Ontologies use the OBO flat file format specification version 1.2, developed by the Gene Ontology Consortium. The ontology is also available in OWL from Open Biomedical Ontologies. This is updated nightly and may be slightly out of sync with the current obo file. An OWL version of the ontology is also available. The resolvable URI for the current version of SO is http://purl.obolibrary.org/obo/so.owl.

Proper citation: SO (RRID:SCR_004374) Copy   

•   Source: SciCrunch Registry

http://www.trex.uqam.ca/

A web server dedicated to the reconstruction of phylogenetic trees, reticulation networks and to the inference of horizontal gene transfer (HGT) events.

Proper citation: Tree and reticulogram REConstruction (RRID:SCR_004497) Copy   

•   Source: SciCrunch Registry

http://bix.ucsd.edu/projects/singlecell/

Software package for short read data from single cells that improves assembly through use of progressively increasing coverage cutoff. Used for single cell Illumina sequences, allows variable coverage datasets to be utilized with assembly of E. coli and S. aureus single cell reads. Assembles single cell genome of uncultivated SAR324 clade of Deltaproteobacteria.

Proper citation: Velvet-SC (RRID:SCR_004377) Copy   

•   Source: SciCrunch Registry

http://www.fnih.org/

A public charity whose mission is to support the NIH in its mission to improve health, by forming and facilitating public-private partnerships for biomedical research and training. Its vision is Building Partnerships for Discovery and Innovation to Improve Health. The FNIH draws together the world''s foremost researchers and resources, pressing the frontier to advance critical discoveries. They are recognized as the number-one medical research charity in the countryleveraging support, and convening high level partnerships, for the greatest impact on the most urgent medical challenges we face today. Grants are awarded as part of a public-private partnership with the National Heart, Lung, and Blood Institute (NHLBI) on behalf of The Heart Truth in support of women''s heart health education and research. Funding for the Community Action Program is provided by the FNIH through donations from individuals and corporations including The Heart Truth partners Belk Department Stores, Diet Coke, and Swarovski. Successful biomedical research relies upon the knowledge, training and dedication of those who conduct it. Bringing multiple disciplines to bear on health challenges requires innovation and collaboration on the part of scientists. Foundation for NIH partnerships operate in a variety of ways and formats to recruit, train, empower and retain their next generation of researchers. From lectures and multi-week courses, to scholarships and awards through fellowships and residential training programs, their programs respond to the needs of scientists at every level and stage in their careers.

Proper citation: Foundation for the National Institutes of Health (RRID:SCR_004493) Copy   

•   Source: SciCrunch Registry

http://www.tcdb.org/

Curated, relational database containing sequence, classification, structural, functional and evolutionary information about transport systems from variety of living organisms based on IUBMB-approved transporter classification (TC) system. Descriptions, TC numbers, and examples of over 600 families of transport proteins are provided. TC system is analogous to Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information. TCDB users may submit their own sequenced proteins and descriptions for inclusion into database. The software tools used are all freely available for download. These programs are used for analysis of Protein and DNA sequences. Programs require UNIX server to run.

Proper citation: Transporter Classification Database (RRID:SCR_004490) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OBOREL

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Ontology that defines core relations used in all OBO ontologies. Obsolete. Replaced with RO.

Proper citation: Open Biological and Biomedical Ontologies Relationship Types (RRID:SCR_004409) Copy   

•   Source: SciCrunch Registry

http://bioinfo.unl.edu/raiphy.php

A semi-supervised metagenomic fragment classification software program that utilizes the genome signatures to characterize the DNA sequences and taxonomic classification is based on an information theoretic measure referred as Relative Abundance Index (RAI). A DNA sequence of unknown source is classified and taxonomically labeled based on the phylogenetic profiles of the previously sequenced genomes. The profiles are iteratively updated using the unknown DNA sequences and the classification results. After a few cycles, the metagenome is classified into operational taxonomic units.

Proper citation: RAIphy (RRID:SCR_004720) Copy   

•   Source: SciCrunch Registry

http://www.webmd.com/

WebMD has created an organization that we believe fulfills the promise of health information on the Internet. We provide credible information, supportive communities, and in-depth reference material about health subjects that matter to you. We are a source for original and timely health information as well as material from well known content providers. The WebMD content staff blends award-winning expertise in journalism, content creation, community services, expert commentary, and medical review to give our users a variety of ways to find what they are looking for. And that, we believe, requires dedicated, full-time staff professionals with state-of-the-art expertise in: * Health news for the public * Creating and maintaining up-to-date medical reference content databases * Medical imagery, graphics, and animation * Communities * Live web events * User experience * Interactive tools Our board-certified physicians, award-winning journalists, and trained community moderators are solely dedicated to your daily information experience on WebMD. Our content staff includes individuals who hold advanced degrees in journalism, medical illustration, health communications, clinical informatics, nursing, and medicine. WebMD verifies the qualifications of all medical professionals on the site; including health professionals, experts, editorial professionals and contributors with a specialty license. You may search for information or use the Health A-Z option. Additionally, Drugs & Supplements, Living Healthy, Eating & Diet, Parenting & Pregnancy, Teen Health, and Pet Health tabs are available.

Proper citation: WebMD (RRID:SCR_004567) Copy   

•   Source: SciCrunch Registry

http://www.calbioreagents.com/

An Antibody supplier

Proper citation: CalBioreagents (RRID:SCR_004681) Copy   

•   Source: SciCrunch Registry

http://www.data.gov/

Catalog of data sets that are generated and held by the Federal Government, including data, tools and resources to conduct research, develop web and mobile applications, design data visualizations, etc. Data.gov provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets. The data catalogs will continue to grow as datasets are added. Federal, Executive Branch data are included in the first version of Data.gov.

Proper citation: Data.gov (RRID:SCR_004712) Copy   

•   Source: SciCrunch Registry

http://www.rhea-db.org/

Manually annotated reaction database where all reaction participants (reactants and products) are linked to the ChEBI database (Chemical Entities of Biological Interest) which provides detailed information about structure, formula and charge. Rhea provides built-in validations that ensure both elemental and charge balance of the reactions. The database has been populated with the reactions found in the Enzyme Commission (EC) list (and in the IntEnz and ENZYME databases), extending it with additional known reactions of biological interest. While the main focus of Rhea is enzyme-catalyzed reactions, other biochemical reactions are also included. Rhea is a manually annotated resource and it provides: stable reaction identifiers for each of its reactions; directionality information if the physiological direction of the reaction is known; the possibility to link several reactions together to form overall reactions; extensive cross-references to other resources including enzyme-catalyzed and other metabolic reactions, such as the EC list (in IntEnz), KEGG, MetaCyc and UniPathway; and chemical substructure and similarity searches on compounds in Rhea.

Proper citation: RHEA (RRID:SCR_004713) Copy   

•   Source: SciCrunch Registry

https://www.biodiscovery.com/products/nexus-copy-number?hsLang=en

Software package provides statistical tools. Derives copy number and BAF from variety of NGS data including WES, WGS, targeted panel, and shallow sequencing as well as Microarray data. Multifaceted desktop software for rapid discovery of genomic alterations. Accepts data from various manufacturers and technologies including Infinium GSA and CytoScan XON.

Proper citation: BioDiscovery Nexus Copy Number (RRID:SCR_004557) Copy   

•   Source: SciCrunch Registry

http://www.brt.org.uk/

Brain Research Trust is a Registered Charity (no. 1137560) and a Company Limited by Guarantee (no. 7345516) promoting and supporting vital research. With the help of our donors, Brain Research Trust supports world-class research at University College London''''s Institute of Neurology (IoN), London. We were able to provide a record 2.3m pounds to research grants in the 09/10 financial year and has been supporting its vital research program for almost 40 years. Brain Research Trust comprises a dedicated fundraising team, a supportive Board of Trustees and a knowledgeable Scientific Advisory Panel who all work together closely to ensure your money goes towards the best neurological research projects. Some of the conditions into which we fund research include: Alzheimer''''s Disease, Ataxia, Brain Tumours, Creutzfeldt-Jakob Disease, Dystonia, Epilepsy, Huntington''''s Disease, Migraine, Motor Neurone Disease, Multiple Sclerosis, Parkinson''''s Disease, Progressive Supranuclear Palsy, Stroke. The Institute of Neurology also carries out research into Autism, Aphasia, Guillain-Barre Syndrome, M��ni��re''''s Disease, Multiple Systems Atrophy (MSA), Myasthenia Gravis, Niemann-Pick Disease, Shy-Drager Syndrome, Tay-Sachs Disease and Tourette Syndrome.

Proper citation: Brain Research Trust (RRID:SCR_004678) Copy   

•   Source: SciCrunch Registry

http://www.usidnet.org/

Research consortium to advance scientific research in the primary immune deficiency diseases (PIDD) and: * Assemble and maintain a registry of patients with primary immunodeficiency diseases to provide a minimum estimate of the prevalence of each disorder in the United States. Provide a comprehensive clinical picture of each disorder and act as a resource for clinical and laboratory research. * Establish a multifaceted mentoring program to introduce new investigators into the field and stimulate interest and research in primary immune deficiency diseases. * Establish an advisory/review committee to maintain a cell/DNA Repository of biologic material from well-characterized PIDD patients for the advancement of scientific research USIDNET operates a large database of patient information for your use. The purpose and scope of this project is to assemble and maintain a registry of residents with primary immunodeficiency diseases. The project was started with the Registry of U.S. Residents with Chronic Granulomatous Disease. Since then, the registry has been expanded and now collects data on all primary immunodeficiency disorders. The following are just a few of the diseases housed in the registry: Chronic Granulomatous Disease, Common Variable Immunodeficiency Disease, DiGeorge Anomaly, Hyper IgM Syndrome, Leukocyte Adhesion Defect, Severe Combined Immunodeficiency Disease, Wiskott-Aldrich Syndrome, X-Linked Agammaglobulinemia Physicians who would like to register their patients or access the registry are encouraged to contact Onika Davis or Lamar Hamilton, USIDNET team, at odavis (at) primaryimmune.org, or lhamilton (at) primaryimmune.org

Proper citation: USIDNET: US Immunodeficiency Network (RRID:SCR_004672) Copy   

•   Source: SciCrunch Registry

http://primaryimmune.org/

National non-profit patient organization dedicated to improving the diagnosis, treatment and quality of life of persons with primary immunodeficiency diseases through advocacy, education and research. One of the greatest challenges faced by individuals diagnosed with primary immunodeficiency disease is finding the right information and resources when they need it. With knowledge and foresight from their personal experience, the Immune Deficiency Foundation (IDF) was founded by families of children with primary immunodeficiency diseases and their physicians to help meet those needs. It is with the spirit and energy of this keen perspective that IDF exists today, thriving as an organization dedicated to individuals living with primary immunodeficiencies. Since 1980, IDF has provided accurate and timely information for the nearly quarter-million Americans who have been diagnosed with a primary immunodeficiency disease. Governed by a Board of Trustees and supported by a Medical Advisory Committee comprised of some of the world''s leading clinical immunologists, as well as hundreds of grassroots volunteers and a compassionate, professional staff IDF has provided individuals and their families with vital knowledge and made tremendous strides in: * Helping the patient and medical community gain a broader understanding of primary immunodeficiency diseases through education and outreach efforts; * Promoting, participating, and funding research that has helped characterize primary immunodeficiency diseases and given patients and physicians substantially improved treatment options; * Addressing patient needs through public policy programs by focusing on issues such as insurance reimbursement, patient confidentiality, ensuring the safety and availability of immune globulin therapy, and maintaining and enhancing patient access to treatment options. Today, thousands of individuals and families affected by primary immunodeficiency diseases depend on IDF for advocacy, education and empowerment.

Proper citation: Immune Deficiency Foundation (RRID:SCR_004674) Copy   

•   Source: SciCrunch Registry

http://metagenomics.atc.tcs.com/binning/ProViDE/

A similarity based binning algorithm that uses a customized set of alignment parameter thresholds / ranges, specifically suited for the accurate taxonomic labelling of viral metagenomic sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ProViDE (RRID:SCR_004709) Copy   

•   Source: SciCrunch Registry

http://caintegrator-info.nci.nih.gov/rembrandt

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Repository of molecular brain neoplasia data (RRID:SCR_004704) Copy   

•   Source: SciCrunch Registry