Tools   Select Another Resource Report Type

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

Species ontology that adopts and integrates relevant portions of available taxonomies as needed based on the species and strain terms represented in the current release of NeuroMorpho.Org (72 terms as of the 5.7 release) and any future additions. When a NeuroMorpho.Org term is mapped with an external resource, its entire lineage (ancestors and descendants) is added to the NeuroMorpho.Org species ontology. The resulting 1,340 terms of this initial version of the ontology come for 65% from the NCBI taxonomy (24 NeuroMorpho.Org species/strain terms mapped), 30% from the Rat Gene Database (1 term mapped), and altogether 5% from NIFSTD (7 terms mapped), MeSH (2 terms mapped), ITIS (1 term mapped), and custom-added concepts (41 terms mapped, largely mouse strains from Jackson Labs).

Proper citation: NeuroMorpho.Org species ontology (RRID:SCR_010378) Copy   

•   Source: SciCrunch Registry

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

Ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.

Proper citation: Protein Modification Ontology (RRID:SCR_010412) Copy   

•   Source: SciCrunch Registry

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

Collection of ontologies that define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. The goal of the QUDT ontology is to provide a unified model of, measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units.

Proper citation: QUDT (RRID:SCR_010416) Copy   

•   Source: SciCrunch Registry

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

Ontology to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans'' various diseases and biological processes (usually through miRs'' respective target genes). OMIT has reused and extended a set of well-established concepts from existing bio-ontologies, e.g., Gene Ontology, Sequence Ontology, Protein Ontology, NCBI Organism Taxonomy, Human Disease Ontology, Foundational Model of Anatomy, and so forth.

Proper citation: Ontology for MicroRNA Target Prediction (RRID:SCR_010387) Copy   

•   Source: SciCrunch Registry

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

Ontology in the domain of role classification that aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.

Proper citation: Role Ontology (RRID:SCR_010420) Copy   

•   Source: SciCrunch Registry

http://icy.bioimageanalysis.org/

An open community platform for bioimage informatics providing the software resources to visualize, annotate and quantify bioimaging data. To bridge the gap between developers and users, it combines: a) an open-source image analysis software, offering a powerful and flexible environment for developers such as applied mathematicians to write algorithms fast and efficiently; b) a common set of tools to view and manipulate data, and a set of plugins to perform specific quantification or analysis on images; c) a community-based website centralizing all plugins and resources to facilitate their management and maximize their visibility towards users. Workspaces are virtual groups of plugins dedicated to a specific application or image processing domain. By downloading a workspace, ICY automatically installs all corresponding plugins. The workspaces are enabled, but the editing section is not ready yet. If you want to publish a plugin on this website, its code has to be GPL. Source code is available and provided in each application download.

Proper citation: icy (RRID:SCR_010587) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://databrary.org/

Project aims to promote data sharing, archiving, and reuse among researchers who study human development. Focuses on creating tools for scientists to store, manage, preserve, analyze and share video and related data.

Proper citation: Databrary (RRID:SCR_010471) Copy   

•   Source: SciCrunch Registry

http://www.clinfowiki.org/wiki/index.php/Main_Page

A Wiki devoted to topics in clinical informatics. Contents: 1 Health Information Technology Regional Extension Centers 2 Free and Open Source Software (FOSS) licensing in medicine 3 Electronic Healthcare Communication 4 Electronic Medical Record (EMR) Systems 5 Computer-based Provider Order Entry -- CPOE 6 Clinical Decision Support -- CDS 7 Books on Topics in Clinical Informatics 8 Medical Devices, Computerized -- SmartDevices 9 Personal Health Records -- PHRs 10 Personal Health Applications -- PHAs 11 Informatics Students'' Contributions 12 Blueprint for a Comprehensive HIT System 13 Biobanking -- a.k.a. Biorepositories or Tissue Banks 14 Organizational issues 15 Regional Health Information Organizations -- RHIOs 16 Evidence-Based Medicine -- EBM 17 Evaluation Methods in Informatics 18 Unintended Consequences of Health Information Technology 19 Quality & Quality Informatics 20 Public Health Informatics 21 U.S. Federal Health Information Technology Initiatives 22 The E-Patient-Provider Relationship 23 Interface Terminology 24 New CIS-related Technologies 25 Workflow 26 Terminology and Coding 27 Interface/Usability Testing 28 International views 29 Blogposium, April 2006 30 Departments / Schools of Biomedical or Medical Informatics 31 Endowed Professorships and Chairs in Health / Medical / Nursing / Biomedical Informatics 32 Leading Health Informatics and Medical Informatics Journals o 32.1 Ranking of ISI/SCI listed e-Health and Medical Informatics Journals o 32.2 Not listed / ranked in ISI/SCI 33 External Links 34 External Medical Reference Links 35 External Informatics Organizations Links

Proper citation: Clinical Informatics Wiki (RRID:SCR_010518) Copy   

•   Source: SciCrunch Registry

http://www.geneious.com/

Software package for sequence alignment, assembly and analysis. Integrated and extendable desktop software platform for organization and analysis of sequence data. Bioinformatics software platform packed with molecular biology and sequence analysis tools.

Proper citation: Geneious (RRID:SCR_010519) Copy   

•   Source: SciCrunch Registry

http://jjwanglab.org/snvrap

The web portal provides comprehensive local database of human genome variants with a user-friendly web page that provides a one-stop annotating and funtonal prediction service which is both convenient and up-to-date. A query can be accepted as either a dbSNP Id or a chromosomal location and our system will instantly provide all the annotation information in an interactive LD panel. The system can also simultaneously prioritize this variant based on additive effect mode by corresponding annotation information and evaluate the variant effect that is then displayed in a prioritization tree. Furthermore, cohort sequencing continuously produces lots of un-annotated variants such as rare variants or de novo variants, and our system can even fit this data by accepting genomic coordinates (hg19) to offer maximal annotations. Main Functions Over 40 up-to-date annotation items for human single nucleotide variations; Functional prediction for different types of variants; Dynamic LD panel for both HapMap and 1000 Genomes Project populations; Prioritization score and tree viewer based on variant functional model.

Proper citation: SNVrap (RRID:SCR_010512) Copy   

•   Source: SciCrunch Registry

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

Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers

Proper citation: Microbial Culture Collection Vocabulary (RRID:SCR_010361) Copy   

•   Source: SciCrunch Registry

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

Ontology providing an RDF representation of the MIxS (Minimal Information about any Sequence) family of checklists.

Proper citation: Minimal Information about any Sequence Ontology (RRID:SCR_010364) Copy   

•   Source: SciCrunch Registry

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

Ontology that contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon provided entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It was built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It used an abstract biomedical layer on top of that - OBO-UBO which was constructed as a proposal to the OBO Foundry. This was meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex biomaterial entities have already been factored to separately maintained ontology - BIRNLexBiomaterialEntity.owl which this BIRNLex-Main.owl file imports. The Ontology of Biomedical Investigation (OBI) is also imported and forms the foundation for the formal description of all experiment-related artifacts. The BIRNLex will serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.

Proper citation: NIF Dysfunction Ontlogy (RRID:SCR_010365) Copy   

•   Source: SciCrunch Registry

http://ebhcstrategies.wetpaint.com/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. This wiki focuses on the process, techniques and tools of high quality searching in the context of evidence-based health care. Information collected in the wiki is primarily intended for medical librarians, but may be of interest to others. Please keep in mind that search strategies and tools here are intended for use by trained professionals in the course of their professional duties, and are not intended for use by the general public. If they are helpful or useful to others that is a plus, but not the primary purpose of the site.

Proper citation: Evidence-Based Health Care Search Strategies (RRID:SCR_010606) Copy   

•   Source: SciCrunch Registry

http://www.grenoble.prabi.fr/obiwarehouse

OBIWarehouse (Open Biological Warehouse) aims at integrating several biological data sources into a unified database. Content includes 3D structural data, Protein-related data, Metabolic-related data, Genomic-related data, and Biological classification.

Proper citation: OBIWarehouse (RRID:SCR_010729) Copy   

•   Source: SciCrunch Registry

http://sklad.cumc.columbia.edu/gsas/

The Columbia University Medical Center is home to over 2,000 basic and clinical faculty and 3,000 students. In addition to the graduate school, this intellectual powerhouse incorporates schools of medicine, dentistry, nursing and public health. The campus also includes the New York Presbyterian Hospital, ranked within the top 10 in the nation. Columbia''s diverse academic resources, as well as its proximity to other scientific institutions offers endless opportunities to attend data clubs, lectures and symposia as well as to pursue research collaborations or learn new techniques. We offer a range of nationally top-ranked Ph.D. Programs grouped in five divisions. Regardless of program affiliation, students have access to all training faculty when selecting their research direction, ensuring that each student receives optimal training and research experience.

Proper citation: Graduate School of Arts and Sciences at Columbia University Medical Center (RRID:SCR_011258) Copy   

•   Source: SciCrunch Registry

http://ascb.org/

The American Society for Cell Biology (ASCB) was founded in 1960 to bring the varied facets of cell biology together. The Society''s purpose is to promote and develop the field of cell biology. Its objectives are achieved through the scholarly dissemination of research at its Annual Meeting and Summer Meetings and in its publications. The ASCB strives to ensure the future of basic scientific research by providing training and development opportunities for students and young investigators, and also by keeping Congress and the American public informed about the importance of biological research. Since its founding, the ASCB has grown to approximately 10,000 members in the United States and more than 65 countries around the world. About 25% of ASCB members are international. Current members come from universities, colleges, professional schools, government, industry, and public and private research institutions. Membership in the ASCB is open to all research scientists, students, educators (high school, undergraduate, and graduate level), and technicians who have education or research experience in cell biology or an allied field.

Proper citation: American Society for Cell Biology (RRID:SCR_010600) Copy   

•   Source: SciCrunch Registry

http://www.ifomis.org/

The Institute for Formal Ontology and Medical Information Science (IFOMIS) comprehends an interdisciplinary research group, with members from Philosophy, Computer and Information Science, Logic, Medicine, and Medical Informatics, focusing on theoretically grounded research in both formal and applied ontology. Its goal is to develop a formal ontology that will be applied and tested in the domain of medical and biomedical information science.

Proper citation: IFOMIS (RRID:SCR_010604) Copy   

•   Source: SciCrunch Registry

http://www.bu.edu/alzresearch/index.html

The goal of the Alzheimers Disease Center is to help reduce the human and economic costs associated with Alzheimers disease through the advancement of knowledge. The primary missions of the Center are to: conduct and facilitate cutting-edge Alzheimers disease research; enhance clinical care for Alzheimers disease patients and their families; and provide education regarding Alzheimers disease to both professional and lay audiences. The Center is made up of a multidisciplinary group of professionals dedicated to research, clinical care, and education.

Proper citation: Boston University Alzheimer's Disease Center (RRID:SCR_010692) Copy   

•   Source: SciCrunch Registry