From bytes to bedside: Data integration and computational biology for translational cancer research Journal Article


Authors: Mathew, J. P.; Taylor, B. S.; Bader, G. D.; Pyarajan, S.; Antoniotti, M.; Chinnaiyan, A. M.; Sander, C.; Burakoff, S. J.; Mishra, B.
Article Title: From bytes to bedside: Data integration and computational biology for translational cancer research
Abstract: Major advances in genome science and molecular technologies provide new opportunities at the interface between basic biological research and medical practice. The unprecedented completeness, accuracy, and volume of genomic and molecular data necessitate a new kind of computational biology for translational research. Key challenges are standardization of data capture and communication, organization of easily accessible repositories, and algorithms for integrated analysis based on heterogeneous sources of information. Also required are new ways of using complementary clinical and biological data, such as computational methods for predicting disease phenotype from molecular and genetic profiling. New combined experimental and computational methods hold the promise of more accurate diagnosis and prognosis as well as more effective prevention and therapy. © 2007 Mathew et al.
Keywords: clinical trial; review; bevacizumab; erlotinib; unspecified side effect; drug targeting; rituximab; nuclear magnetic resonance imaging; positron emission tomography; antineoplastic agent; cancer diagnosis; diagnostic accuracy; genetic analysis; colorectal cancer; imatinib; cancer prevention; computer assisted tomography; breast cancer; microrna; gene expression profiling; lung non small cell cancer; small interfering rna; genetic variability; antineoplastic activity; chronic myeloid leukemia; cetuximab; cancer research; cancer therapy; rna; dna; transcription regulation; whole body imaging; gefitinib; fluorescence microscopy; molecular biology; trastuzumab; chromosome 13; protein modification; genotype environment interaction; neck cancer; head cancer
Journal Title: PLoS Computational Biology
Volume: 3
Issue: 2
ISSN: 1553-7358
Publisher: Public Library of Science  
Date Published: 2007-02-23
Start Page: 0153
End Page: 0163
Language: English
DOI: 10.1371/journal.pcbi.0030012
PROVIDER: scopus
PMCID: PMC1808026
PUBMED: 17319736
DOI/URL:
Notes: --- - "Cited By (since 1996): 15" - "Export Date: 17 November 2011" - "Source: Scopus"
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  1. Chris Sander
    210 Sander
  2. Barry Stephen Taylor
    238 Taylor