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http://graphml.graphdrawing.org/

A file format for graphs that consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data. It is based on XML and is ideally suited as a common denominator for all kinds of services generating, archiving, or processing graphs. Its main features include support of * directed, undirected, and mixed graphs, * hypergraphs, * hierarchical graphs, * graphical representations, * references to external data, * application-specific attribute data, and * light-weight parsers.

Proper citation: GraphML (RRID:SCR_003545) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/mpg/magenta/

A computational tool that tests for enrichment of genetic associations in predefined biological processes or sets of functionally related genes, using genome-wide genetic data as input.

Proper citation: MAGENTA (RRID:SCR_003422) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/NAPPA/

Software that enables the processing and normalization of the standard mRNA data output from the Nanostring nCounter software.

Proper citation: NAPPA (RRID:SCR_003419) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/adverse-event-reporting-ontology/

An ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.

Proper citation: Adverse Event Reporting Ontology (RRID:SCR_003571) Copy   

•   Source: SciCrunch Registry

http://rgd.mcw.edu/tools/ontology/ont_search.cgi

Ontology that defines hierarchical display of different rat strains as derived from parental strains. Ontology Browser allows to retrieve all genes, QTLs, strains and homologs annotated to particular term. Covers all types of biological pathways including altered and disease pathways, and to capture relationships between them within hierarchical structure. Five nodes of ontology include classic metabolic, regulatory, signaling, drug and disease pathways. Ontology allows for standardized annotation of rat. Serves as vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within diagram or between pathways that in some fashion are globally related in pathway suites and suite networks.

Proper citation: Rat Strain Ontology (RRID:SCR_003449) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/fade/

A software package designed to determine the methylation parameter at each cytosine or cytosine-guanine position in the human genome. FadE uses color reads produced by the SOLiD sequencer or nucleotide reads produced by the Illumina or 454 sequencing platforms.

Proper citation: FadE (RRID:SCR_003448) Copy   

•   Source: SciCrunch Registry

http://www.violinet.org/ovae/

A biomedical ontology in the area of vaccine adverse events aimed to represent and analyze various vaccine-specific adverse events. OVAE is an extension of the Ontology of Adverse Events (OAE) and the Vaccine Ontology (VO).

Proper citation: Ontology of Vaccine Adverse Events (RRID:SCR_003442) Copy   

•   Source: SciCrunch Registry

http://ncit.nci.nih.gov/

A reference terminology and core biomedical ontology for NCI that covers approximately 100,000 key biomedical concepts with terms, codes, definitions, and more than 200,000 inter-concept relationships. It is the reference terminology for NCI, NCI Metathesaurus and NCI informatics infrastructure covering vocabulary for clinical care, translational and basic research, and public information and administrative activities. It includes broad coverage of the cancer domain, including cancer related diseases, findings and abnormalities; anatomy; agents, drugs and chemicals; genes and gene products and so on. In certain areas, like cancer diseases and combination chemotherapies, it provides the most granular and consistent terminology available. It combines terminology from numerous cancer research related domains, and provides a way to integrate or link these kinds of information together through semantic relationships. NCIt features: * Stable, unique codes for biomedical concepts; * Preferred terms, synonyms, definitions, research codes, external source codes, and other information; * Links to NCI Metathesaurus and other information sources; * Over 200,000 cross-links between concepts, providing formal logic-based definition of many concepts; * Extensive content integrated from NCI and other partners, much available as separate NCIt subsets * Updated frequently by a team of subject matter experts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).

Proper citation: NCI Thesaurus (RRID:SCR_003563) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/proteomecommons-tranche/

A distributed file storage system that you can upload files to and download files from. All files uploaded to the repository are replicated several times to protect against their accidental loss. Files uploaded to the repository can be of any size, can be of any file type, and can be encrypted with a passphrase of your choosing. The Proteome Commons Tranche repository is the first instance of a Tranche repository. Tranche, was created so that anybody can take it and make their own Tranche repository. This is the first implementation of the Tranche software, and is useful as a test bed for the software. This repository relies on educational institutions to provide the hardware and facilities for Tranche servers. While we maintain a set of servers, the continued growth of this public resource will rely on the generosity of the institutions that use the repository most.

Proper citation: Proteome Commons Tranche repository (RRID:SCR_003441) Copy   

•   Source: SciCrunch Registry

http://www.compgen.org/tools/metagen

Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.

Proper citation: metagen (RRID:SCR_003443) Copy   

•   Source: SciCrunch Registry

http://www.curealzfund.org/

Cure Alzheimer's Fund is a 501(c)(3) public charity. At Cure Alzheimer's Fund, our mission is to fund research with the highest probability of slowing, stopping or reversing Alzheimer's disease. This topical portal has a lot of information including news and blog. Cure Alzheimer's Fund is governed by a board of directors; administered by a small, full-time staff; and guided scientifically by a Research Consortium. A Scientific Advisory Board audits the research program to make sure it is consistent with the objectives of the foundation. Cure Alzheimer's Fund is a doing business as name for the Alzheimer's Disease Research Foundation, federal tax ID # 52-2396428.

Proper citation: Cure Alzheimers Fund (RRID:SCR_003564) Copy   

•   Source: SciCrunch Registry

http://www.guthyjacksonfoundation.org/

The Guthy-Jackson Charitable Foundation is dedicated to funding basic science research to find answers that will lead to the prevention, clinical treatment programs and a potential cure for Neuromyelitis Optica (NMO) Spectrum Disease. The decision to create our Foundation came from a personal family crisis. Our daughter was officially diagnosed with NMO in June 2008. Since that time, we have met with many clinicians and researchers in order to understand what this means for our beautiful daughter and our family. Additionally, we have gathered and read every piece of information and NMO research article that is available on the Web. We are now beginning to understand that NMO is not only considered an orphan disease, but that very little research is available. We met with the All Greater Good Foundation in early July 2008 when it became clear that there is little-to-no funding available to research this rare and often misunderstood disease. We joined hands with the All Greater Good Foundation to immediately begin our work, and thus, The Guthy-Jackson Charitable Foundation was born. The Guthy-Jackson Charitable Foundation is dedicated to funding biomedical research in the search to understand the pathophysiology and biochemistry of NMO Spectrum Disease. It is our greatest hope that together we will reverse the effects of NMO and eventually cure this disease.

Proper citation: Guthy-Jackson Charitable Foundation (RRID:SCR_004441) Copy   

•   Source: SciCrunch Registry

http://www.taverna.org.uk/

An open source and domain independent Workflow Management System ����?? a suite of tools used to design and execute scientific workflows and aid in silico experimentation. Taverna Workbench now has support for service sets, offline workflow editing, workflow validation, improved workflow run monitoring, and the pausing and canceling of workflow runs. The command line tool allows you to run workflows outside of the workbench and is available as a stand-alone download or bundled with the Taverna Workbench 2.2.0 download. The Taverna suite is written in Java and includes the Taverna Engine (used for enacting workflows) that powers both the Taverna Workbench (the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal. Taverna 2.2.0 includes * Copy/paste, shortcuts, undo/redo, drag and drop * Animated workflow diagram * Remembers added/removed services * Secure Web services support * Secure access to resources on the web * Up-to-date R support * Intermediate values during workflow runs * myExperiment integration * Excel and csv spreadsheet support * Command line tool

Proper citation: Taverna (RRID:SCR_004437) Copy   

•   Source: SciCrunch Registry

http://dkcoin.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented October 13, 2014. The resource has moved to the NIDDKInformation Network (dkNET) project. Contact them at info_at_dknet.org with any questions. Database of large pools of data relevant to the mission of NIDDKwith the goal of developing a community-based network for integration across disciplines to include the larger DKuniverse of diseases, investigators, and potential users. The focus is on greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets. To date (2013/06/10), a total of 1,195 resources have been associated with one or more genes. Of 11,580 total genes associated with resources, the ten most represented are associated with 359 distinct resources. The main method by which they currently interconnect resources between the providers is via EntrezGene identifiers. A total of 780 unique genes provide the connectivity between 3,159 resource pairs across consortia. To further increase interconnectivity, the groups have been further annotating their data with additional gene identifiers, publications, and ontology terms from selected Open Biological and Biomedical Ontologies (OBO).

Proper citation: dkCOIN (RRID:SCR_004438) Copy   

•   Source: SciCrunch Registry

http://www.mpiresearch.com/

MPI Research exists to provide comprehensive discovery, safety evaluation, bioanalytical, and analytical services that meet the requirements of biopharmaceutical, medical device, animal health, and chemical companies as we partner globally to bring safer and more effective products to the world. Our goal is to exceed the expectations of our Sponsors and maintain the highest respect in our industry by providing customized, responsive, and on-time services that add value to our Sponsors'' efforts to discover, develop, and enhance products in regulated international environments. We excel as a high performance, high quality organization because of our scientific knowledge and experience, integrity, trust, teamwork, and dedication to strong and enduring Sponsor relationships. MPI Research has conducted thousands of drug safety, discovery, bioanalytical, and analytical studies. We offer extensive support and resources including, but not limited to * A wide and diverse range of classes of compounds * All routes of administration except inhalation * Studies with numerous species and models * Comprehensive reporting capabilities Flexibility and ample capacity enable us to * Accommodate multiple requirements simultaneously * Adjust schedules readily * Produce results quickly Responding to a broad spectrum of research needs: Working in partnership with pharmaceutical, biotech, medical device, and chemical companies, we conduct customized preclinical research throughout the discovery and development process, from early proof of concept testing to regulatory submissions, including IND, EPA/OPPTS, NDA, PMA, and 510K.

Proper citation: MPI Research (RRID:SCR_004397) Copy   

•   Source: SciCrunch Registry

http://magnet.c2b2.columbia.edu/

The mission of the Center for the Multiscale Analysis of Genomic and Cellular Networks (MAGNet) is to develop novel Structural and Systems Biology methods and tools for the dissection of molecular interactions in the cell and for the interaction-based elucidation of cellular phenotypes. These tools are made freely available to the the members of the research community. They are also validated in the context of the Center''''s own research program through collaborative projects with experimental biologists. MAGNet is one of 7 National Centers for Biomedical Computing (NCBC). These Centers, in conjunction with individual investigator awards, are creating a networked effort to build the computational infrastructure for biomedical computing in the nation. The NCBC program is devoted to all facets of biomedical computing, from basic research in computational science to providing the tools and resources that biomedical and behavioral researchers need to do their work. In addition to carrying out fundamental research the NCBCs play a major role in educating and training researchers to engage in biomedical computing. MAGNet is also one of 12 inter-disciplinary Centers for Cancer Systems Biology (CCSBs), a component of the National Cancer Institute''''s Integrative Cancer Biology Program. The CCSBs provide a core framework for applying systems biology approaches to cancer research through the development and implementation of computational models of processes relevant to cancer prevention, diagnostics and therapeutics. The CCSBs seek to integrate experimental biology with mathematical modeling to foster new insights in the biology and new approaches to the management of cancer. MAGNet''''s Training Core ensures that the methods developed by the Center are integrated into the educational offerings of Columbia University''''s Medical School.

Proper citation: MAGNet - Multiscale Analysis of Genomic and Cellular Networks (RRID:SCR_004399) Copy   

•   Source: SciCrunch Registry

http://okcam.cbi.pku.edu.cn/ontology.php

CAMO (Cell Adhesion Molecule Ontology) is a set of standard vocabulary that provide a hierarchical description of cell adhesion molecules and their functions. We compiled a list for cell adhesion molecules by integrating Gene Ontology annotations, domain structure information, and keywords query against NCBI Entrez Gene annotations. Totally 496 unique human genes were identified to function as cell adhesion molecules, which is by far the most comprehensive dataset including cadherin, immunoglobulin/FNIII, integrin, neurexin, neuroligan, and catenin families. CAMO was constructed as a directed acyclic graph (DAG) using DAG-Edit to input, manage and update data. We annotated each term with name, definition and source references, as well as the relationship to other terms, based on manual reviews of domain architecture and functional annotations. If vertices represent terms and the relationships between terms are represented by edges, the terms in a DAG can be connected via a directed graph without cycles. CAMO thus provides a hierarchical description of functions of CAMs with five top-level categories: CAM gene families, CAM genetics, CAM regulation, CAM expression and CAM diseases. Each top-level term is further divided into several categories to describe the functions in detail.

Proper citation: CAMO - Cell Adhesion Molecule Ontology (RRID:SCR_004392) Copy   

•   Source: SciCrunch Registry

http://www.uca.edu.ar/index.php/home/index/en/universidad/facultades/buenos-aires/cs-medicas/investigacion/iib/

The Biomedical Research Program (PIB) of the School of Medical Sciences was created in 2007, after a Collaboration Protocol was established between UCA and the National Council of Scientific and Technical Research (CONICET). Research at PIB aims at unraveling the molecular, biochemical and genetic aspects of human diseases, therefore contributing to understanding complex pathologies. Research Groups include: * Molecular and Cell Biology Lab (LBCM) - Group leader: Tom��s A. Santa Coloma, Ph.D. * Nanotechnology Lab - Group leader: Tom��s A. Santa Coloma, Ph.D. * Molecular Neurobiology Lab - Group leader: Francisco J. Barrantes, Ph.D.

Proper citation: Biomedical Research Program UCA (RRID:SCR_004395) Copy   

•   Source: SciCrunch Registry

http://en.wikibooks.org/wiki/Diagnostic_Radiology

This is a wiki on diagnostic radiology. Major topics include General Types of Radiology, Imaging Modalities, Radiography, CT scanning, Sonography, MRI Magnetic Resonance Imaging, Nuclear medicine, Normal Radiological Anatomy, Imaging of Specific Anatomic Regions, Diagnosis of Specific Anatomic Regions, Imaging in Pediatric Radiology, and External resources. Radiology is the branch of medical science dealing with medical imaging. It may use x-ray machines or other such radiation devices. It also uses techniques that do not involve radiation, such as MRI and ultrasound. The medical information provided on Wikibooks is, at best, of a general nature and cannot substitute for the advice of a medical professional (for instance, a qualified doctor/physician, nurse, pharmacist/chemist, and so on). Wikibooks is not a doctor.

Proper citation: Diagnostic Radiology (RRID:SCR_004427) Copy   

•   Source: SciCrunch Registry

http://kingdevicktest.com/

An accurate and reliable method for identifying athletes with head trauma, and a strong candidate rapid sideline screening test for concussion. The test is able to capture impairments of eye movement, attention, language and other symptoms of impaired brain function. It is a physical method of evaluating visual tracking and saccadic eye movements is based on the time to perform rapid number naming. It involves reading aloud a series of single digit numbers from left to right on three test cards. Participants are asked to read the numbers on each card from left to right as quickly as possible but without making any errors. The sum of the three test card time scores constitutes the summary score for the entire test. The test is a proven indicator of oculomotor inefficiencies regarding eye movements during reading. Published medical studies have determined that deficiencies in saccadic eye movements can be an indicator of mild Traumatic Brain Injury (mTBI) or concussions. Studies have shown that there is a significant relationship between poor oculomotor functions and learning disabilities (including dyslexia detection). Saccadic eye movement deficiencies can be improved with training and correspondingly reading performance also can be improved. Simply put, subjects who don''t perform well on this test are not efficient readers, although because there are many reasons for poor reading unrelated to eye movements, some poor readers do fine on the test. They believe that the test should be in the hands of teachers in order to help them determine if a student''s poor reading performance is related to deficiencies in their ability to move their eyes efficiently.

Proper citation: King-Devick Test (RRID:SCR_004500) Copy   

•   Source: SciCrunch Registry