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

An ontology designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.

Proper citation: Clinical Measurement Ontology (RRID:SCR_003291) Copy   

•   Source: SciCrunch Registry
  

http://primerseq.sourceforge.net/

Software that designs RT-PCR primers that evaluate alternative splicing events by incorporating RNA-Seq data. It is particularly advantageous for designing a large number of primers for validating alternative splicing events found in RNA-Seq data. It incorporates RNA-Seq data in the design process to weight exons by their read counts. Essentially, the RNA-Seq data allows primers to be placed using actually expressed transcripts. This could be for a particular cell line or experimental condition, rather than using annotations that incorporate transcripts that are not expressed for the data. Alternatively, you can design primers that are always on constitutive exons. PrimerSeq does not limit the use of gene annotations and can be used for a wide array of species.

Proper citation: PrimerSeq (RRID:SCR_003295) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/devel/bioc/html/OmicCircos.html

An R software application and package used to generate high-quality circular plots for visualizing genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.

Proper citation: OmicCircos (RRID:SCR_003292) Copy   

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https://github.com/rsc-ontologies/rsc-cmo

An ontology that describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; preparing and separating material for further analysis, such as sample ionization, chromatography, and electrophoresis; and synthesizing materials, such as epitaxy and continuous vapor deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).

Proper citation: Chemical Methods Ontology (RRID:SCR_003286) Copy   

•   Source: SciCrunch Registry
  

https://www.msu.edu/~brains/index.html

The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. Atlases and brain sections are available for a variety of mammals, and we are also developing a series of labeled atlases of stained sections for educators, students, and researchers. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan. What we are doing currently at Michigan State is a series of demonstration projects for publicizing the contents of the collections and ways in which they can be used. For example, the images from the collection can be used for comparative brain study. We have prepared databases of the contents of the collections for presentation and use on this site, as well as for downloading by users in several formats. We are also developing a series of labeled atlases of stained sections for educators, students, and researchers. This internet site is associated with the Comparative Mammalian Brain Collections site. All of the images are in JPEG or GIF format.

Proper citation: Michigan State University Brain Biodiversity Bank (RRID:SCR_003289) Copy   

•   Source: SciCrunch Registry
  

https://code.google.com/p/popoolation2/

Software to compare allele frequencies for SNPs between two or more populations and to identify significant differences. PoPoolation2 requires next generation sequencing data of pooled genomic DNA (Pool-Seq). It may be used for measuring differentiation between populations, for genome wide association studies and for experimental evolution., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PoPoolation2 (RRID:SCR_003284) Copy   

•   Source: SciCrunch Registry
  

http://www.yaleruddcenter.org/

A non-profit research and public policy organization devoted to improving the worlds diet, preventing obesity, and reducing weight stigma.

Proper citation: Yale Rudd Center for Food Policy and Obesity (RRID:SCR_003283) Copy   

•   Source: SciCrunch Registry
  

http://knowledgemap.mc.vanderbilt.edu/research/content/phewas-r-package

Software package contains methods for performing Phenome-Wide Association Study.

Proper citation: PheWAS R Package (RRID:SCR_003512) Copy   

•   Source: SciCrunch Registry
  

http://sbgrid.org/

Computing resources structural biologists need to discover the shapes of the molecules of life, it provides access to web-enabled structural biology applications, data sharing facilities, biological data sets, and other resources valuable to the computational structural biology community. Consortium includes X-ray crystallography, NMR and electron microscopy laboratories worldwide.SBGrid Service Center is located at Harvard Medical School.SBGrid's NIH-compliant Service Center supports SBGrid operations and provides members with access to Software Maintenance, Computing Access, and Training. Consortium benefits include: * remote management of your customized collection of structural biology applications on Linux and Mac workstations; * access to commercial applications exclusively licensed to members of the Consortium, such as NMRPipe, Schrodinger Suite (limited tokens) and the Incentive version of Pymol; remote management of supporting scientific applications (e.g., bioinformatics, computational chemistry and utilities); * access to SBGrid seminars and events; and * advice about hardware configurations, operating system installations and high performance computing. Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, tomography and other experimental structural biology technologies in their research. Most new members are fully integrated with SBGrid within 2 weeks of the initial application.

Proper citation: Structural Biology Grid (RRID:SCR_003511) Copy   

•   Source: SciCrunch Registry
  

http://www.cellimagelibrary.org/

Freely accessible, public repository of vetted and annotated microscopic images, videos, and animations of cells from a variety of organisms, showcasing cell architecture, intracellular functionalities, and both normal and abnormal processes. Explore by Cell Process, Cell Component, Cell Type or Organism. The Cell includes images acquired from historical and modern collections, publications, and by recruitment.

Proper citation: Cell Image Library (CIL) (RRID:SCR_003510) Copy   

•   Source: SciCrunch Registry
  

http://wiki.cns.org

Wiki dedicated to neurosurgical topics, maintained by the Congress of Neurological Surgeons. Members can log in to contribute by adding or editing an article. A wiki is a collaborative technology for organizing information. Visitors can add, remove, and edit content. Like all other wikis, the CNS University's NeuroWiki allows linking among any number of pages. This ease of interaction and operation will engender collaborative authoring.

Proper citation: CNS NeuroWIki (RRID:SCR_003500) Copy   

•   Source: SciCrunch Registry
  

http://ctrad-csi.nus.edu.sg/gbsa/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Software for analyzing whole-genome bisulfite sequencing data.

Proper citation: GBSA (RRID:SCR_003413) Copy   

•   Source: SciCrunch Registry
  

http://www.etonbio.com/

An Antibody supplier

Proper citation: Eton Bioscience (RRID:SCR_003533) Copy   

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http://www.ebi.ac.uk/pride/

Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester.

Proper citation: Proteomics Identifications (PRIDE) (RRID:SCR_003411) Copy   

•   Source: SciCrunch Registry
  

http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Main_Page

Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules.

Proper citation: Honig Lab (RRID:SCR_003410) Copy   

•   Source: SciCrunch Registry
  

http://www.biostat.wisc.edu/~kendzior/EBSEQ/

Software R package for RNA-Seq Differential Expression Analysis.

Proper citation: EBSeq (RRID:SCR_003526) Copy   

•   Source: SciCrunch Registry
  

https://www.marquette.edu/grad/programs-neuroscience.php

Neuroscience specialization in Graduate Program in Biological Sciences at Marquette University brings together researchers from Departments of Biological and Biomedical Sciences at Marquette to offer quality graduate education in the field of neuroscience with the goal of training students for careers as neuroscience researchers and educators. The specialization is for students who wish to pursue a Ph.D. degree. The collaborative and multi-disciplinary neuroscience research environment at Marquette is supported by the Integrative Neuroscience Research Center (INRC), a consortium of researchers committed to advancing neuroscience research and education at Marquette. The Neuroscience Graduate Program offers the opportunity to conduct research in a collaborative, intellectually rigorous environment, with access to the most modern research tools.

Proper citation: Marquette University, Neuroscience (RRID:SCR_003404) Copy   

•   Source: SciCrunch Registry
  

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

Human Physiology is a featured book on Wikibooks because it contains substantial content, it is well-formatted, and the Wikibooks community has decided to feature it on the main page or in other places. Please continue to improve it and thanks for the great work so far! A printable and PDF version are available. You can edit its advertisement template. Contents: 1. Homeostasis 2. Cell Physiology 3. Integumentary System 4. The Nervous System 5. Senses 6. The Muscular System 7. Blood Physiology 8. The Cardiovascular System 9. The Immune System 10. The Urinary System 11. The Respiratory System 12. The Gastrointestinal System 13. Nutrition 14. The Endocrine System 15. The Male Reproductive System 16. The Female Reproductive System 17. Pregnancy and Birth 18. Genetics and Inheritance 19. Development: Birth through Death 20. Appendix 1: Answers to Review Questions 21. Authors 22. Further Reading

Proper citation: Human Physiology (RRID:SCR_003525) Copy   

•   Source: SciCrunch Registry
  

https://cabig.nci.nih.gov/tools/caTRIP

THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity.

Proper citation: caTRIP (RRID:SCR_003409) Copy   

•   Source: SciCrunch Registry
  

http://code.google.com/p/pharmgkb-owl/

An OWL representation of the data in PharmGKB, Comparative Toxicogenomics Database (CTD) and DrugBank and linked to related ontologies: ChEBI ontology, the Human Disease Ontology (DO), the Anatomical Therapeutic Chemical Classification System (ATC) and the Medical Subject Headings Thesaurus (MESH). The combined knowledge base can be exploited using the ELK reasoner.

Proper citation: PharmGKB Ontology (RRID:SCR_003529) Copy   

•   Source: SciCrunch Registry