Literature DB >> 17911733

The Cancer Biomedical Informatics Grid (caBIG): infrastructure and applications for a worldwide research community.

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Abstract

Information explosion and new advances in high throughput experiments have challenged biomedical research, and suggested a future in which inter-institutional and international collaborations will be the norm. The cancer Biomedical Informatics Grid is an ambitious initiative launched by the US National Cancer Institute to develop a network of tools, data, and researchers to support translational and clinical research in oncology, with an ultimate goal to improve cancer care for patients. The three year pilot phase of caBIG ends in 2007, and has engaged over 900 clinicians, scientists, and patient advocates as developers, adopters, and workspace participants. Progress has been demonstrated in creating tools and building prototype grid architecture for collaborative research. Accomplishments in the pilot phase set the stage for extension of the community into other biomedical domains and for federation of the caBIG enterprise with similar initiatives in other scientific areas and in other countries.

Entities:  

Mesh:

Year:  2007        PMID: 17911733

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  26 in total

Review 1.  Bioinformatics for personal genome interpretation.

Authors:  Emidio Capriotti; Nathan L Nehrt; Maricel G Kann; Yana Bromberg
Journal:  Brief Bioinform       Date:  2012-01-13       Impact factor: 11.622

2.  Using PhenX measures to identify opportunities for cross-study analysis.

Authors:  Huaqin Pan; Kimberly A Tryka; Daniel J Vreeman; Wayne Huggins; Michael J Phillips; Jayashri P Mehta; Jacqueline H Phillips; Clement J McDonald; Heather A Junkins; Erin M Ramos; Carol M Hamilton
Journal:  Hum Mutat       Date:  2012-04-03       Impact factor: 4.878

3.  caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research.

Authors:  Rebecca S Crowley; Melissa Castine; Kevin Mitchell; Girish Chavan; Tara McSherry; Michael Feldman
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

4.  Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Authors:  Emily Doughty; Attila Kertesz-Farkas; Olivier Bodenreider; Gary Thompson; Asa Adadey; Thomas Peterson; Maricel G Kann
Journal:  Bioinformatics       Date:  2010-12-07       Impact factor: 6.937

Review 5.  Accessing and integrating data and knowledge for biomedical research.

Authors:  A Burgun; O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

6.  Clinical research informatics: challenges, opportunities and definition for an emerging domain.

Authors:  Peter J Embi; Philip R O Payne
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

7.  Security and privacy requirements for a multi-institutional cancer research data grid: an interview-based study.

Authors:  Frank J Manion; Robert J Robbins; William A Weems; Rebecca S Crowley
Journal:  BMC Med Inform Decis Mak       Date:  2009-06-15       Impact factor: 2.796

8.  Clinical Research Informatics for Big Data and Precision Medicine.

Authors:  C Weng; M G Kahn
Journal:  Yearb Med Inform       Date:  2016-11-10

9.  LAS: a software platform to support oncological data management.

Authors:  Elena Baralis; Andrea Bertotti; Alessandro Fiori; Alberto Grand
Journal:  J Med Syst       Date:  2012-11-02       Impact factor: 4.460

10.  OnEX: Exploring changes in life science ontologies.

Authors:  Michael Hartung; Toralf Kirsten; Anika Gross; Erhard Rahm
Journal:  BMC Bioinformatics       Date:  2009-08-13       Impact factor: 3.169

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