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  Emice  >  Bioinformatics :

Listed projects: caMOD | caIMAGE | caArray | Small Animal Imaging SIG | caELMIR | CGAP | MGI | caBIG™

Bioinformatics Websites
caMOD caMOD The cancer models database (caMOD) provides information about animal models for human cancer to the public research community. caMOD provides the following key capabilities to its users:
Data Submission--Data in caMOD are extracted from the public scientific literature by curators or they are directly submitted by scientists.
Search--Users can retrieve among others information about the making of models, their genetic descriptions, histopathology, images, microarray data, and therapeutic trials in which the models were used.
System Function Administration--The Admin function provides services for user registration, review of submitted models and database management.


caIMAGE caIMAGE The cancer images database (caIMAGE) stores images and associated information such as species, diagnosis, and description of the findings. caIMAGE provides the following key capabilities to its users:
Data Submission--Images in caIMAGE are directly submitted and annotated by scientists.
Search--Users can query the database using search criteria such as organ, diagnosis, species, staining method or submitting scientist.


caArray caArray caArray database was designed to make it easier to store, annotate, search and share microarray data related to cancer research. caArray was developed using the cancer Biomedical Informatics Grid (caBIG) compatibility guidelines, as well as the Microarray Gene Expression Data (MGED) society standards for microarray data. Compatibility with these standards and guidelines facilitates data sharing and integration of diverse data types including clinical, imaging, tissue and functional genomics data. Public datasets are available for download without registration.


In Vivo Imaging SIG In Vivo Imaging - from the molecular level to small animal imaging to clinical imaging of patients - is an essential component of basic and clinical cancer research. The caBIG™ In Vivo Imaging Workspace will focus on identifying the ways in which the wealth of information provided by such imaging, performed at academic and other research centers across the country, can be shared, optimized, and most effectively integrated into the ongoing effort to relieve suffering and death from cancer.

People who work on the small animal imaging are welcome to participate in the conference calls and workspace face-to-face meetings. Please see https://webarchive.library.unt.edu/eot2008/20090131092400/https://cabig.nci.nih.gov/workspaces/Imaging for more information.


caELMIR caELMiR is a laboratory information management system for the preclinical trials conducted by MMHCC member laboratories.


Cancer Genome Anatomoy Project (CGAP) Cancer Genome Anatomoy Project (CGAP) The goal of the NCI's Cancer Genome Anatomy Project is to determine the gene expression profiles of normal, precancer, and cancer cells, leading eventually to improved detection, diagnosis, and treatment for the patient. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find "in silico" answers to biological questions in a fraction of the time it once took in the laboratory.


Mouse Genome Informatics (MGI) Mouse Genome Informatics (MGI) The Mouse Genome Informatics (MGI) Database provides integrated access to data on the genetics, genomics and biology of the laboratory mouse. The projects contributing to this resource are:
Mouse Genome Database (MGD) Project:
MGD includes data on gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.
Gene Expression Database (GXD) Project:
GXD integrates different types of gene expression information from the mouse and provides a searchable index of published experiments on endogenous gene expression during development
Mouse Tumor Biology (MTB) Database Project:
MTB integrates data on the frequency, incidence, genetics, and pathology of neoplastic disorders, emphasizing data on tumors that develop characteristically in different genetically defined strains of mice.
Gene Ontology (GO) Project:
The Mouse Genome Informatics group is a founding member of the Gene Ontology Consortium (www.geneontology.org Opens in New Window: https://webarchive.library.unt.edu/eot2008/20090131092400/http://www.geneontology.org). MGI fully incorporates the GO in the database and provides a GO browser


caBIG™ caBIG™ The Cancer Biomedical Informatics Grid, or caBIG™, is a voluntary network or grid connecting individuals and institutions to enable the sharing of data and tools, creating a World Wide Web of cancer research.

caBIG™ for Researchers
Information for biomedical researchers 
  • What is caBIG™?
  • What approach is being taken to achieve caBIG™ program goals?
  • What does this all mean to researchers?
  • Frequently Asked Questions
  • caBIG™ Resources for Researchers
  • Integration of caMOD and caELMIR - technology to support preclincial trials

Application Support
The NCICB Application Support Group is dedicated to helping you use NCICB tools and resources to maximum benefit. We’re here to help you find what you need, use and re-use our software, integrate data and applications, and facilitate the sharing of information and resources.

Telephone: 301-451-4384 or toll free: 888-478-4423
Email: ncicb@pop.nci.nih.gov

Telephone support is available Monday to Friday, 8 am – 8 pm Eastern Time, excluding government holidays. You may leave a message, send an email or submit a support request via the Web at any time.

When submitting support requests via email, please include:

  • your contact information
  • the name of the application/tool you are using
  • the URL if it is a Web-based application
  • a description of the problem and steps to recreate it
  • the text of any error messages you have received

Mouse Genome Informatics offers on-line help and staffs a help desk to answer your questions and comments.
https://webarchive.library.unt.edu/eot2008/20090131092400/http://www.informatics.jax.org/mgihome/help/help.shtml
Contact MGI User Support Staff
E-mail: mgi-help@informatics.jax.org
Phone: (207) 288-6445

CONTACT US PRIVACY NOTICE DISCLAIMER ACCESSIBILITY APPLICATION SUPPORT  
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