Literature DB >> 19093263

Information systems for cancer research.

Michael F Ochs1, John T Casagrande.   

Abstract

The last decade has seen a massive growth in data for cancer research, with high-throughput technologies joining clinical trials as major drivers of informatics needs. These data provide opportunities for developing new cancer treatments, but also major challenges for informatics, and we summarize the systems needed and potential issues arising in addressing these challenges. Integrating these data into the research enterprise will require investments in (1) data capture and management, (2) data analysis, (3) data integration standards, (4) visualization tools, and (5) methods for integration with other enterprise systems.

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Year:  2008        PMID: 19093263      PMCID: PMC2667696          DOI: 10.1080/07357900802272729

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  18 in total

Review 1.  Integration and beyond: linking information from disparate sources and into workflow.

Authors:  W W Stead; R A Miller; M A Musen; W R Hersh
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

Review 2.  The hallmarks of cancer.

Authors:  D Hanahan; R A Weinberg
Journal:  Cell       Date:  2000-01-07       Impact factor: 41.582

3.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

4.  Microarrays: retracing steps.

Authors:  Kevin R Coombes; Jing Wang; Keith A Baggerly
Journal:  Nat Med       Date:  2007-11       Impact factor: 53.440

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

6.  The UMLS project: making the conceptual connection between users and the information they need.

Authors:  B L Humphreys; D A Lindberg
Journal:  Bull Med Libr Assoc       Date:  1993-04

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

Authors: 
Journal:  Stud Health Technol Inform       Date:  2007

8.  Bioconductor: open software development for computational biology and bioinformatics.

Authors:  Robert C Gentleman; Vincent J Carey; Douglas M Bates; Ben Bolstad; Marcel Dettling; Sandrine Dudoit; Byron Ellis; Laurent Gautier; Yongchao Ge; Jeff Gentry; Kurt Hornik; Torsten Hothorn; Wolfgang Huber; Stefano Iacus; Rafael Irizarry; Friedrich Leisch; Cheng Li; Martin Maechler; Anthony J Rossini; Gunther Sawitzki; Colin Smith; Gordon Smyth; Luke Tierney; Jean Y H Yang; Jianhua Zhang
Journal:  Genome Biol       Date:  2004-09-15       Impact factor: 13.583

9.  Expression monitoring by hybridization to high-density oligonucleotide arrays.

Authors:  D J Lockhart; H Dong; M C Byrne; M T Follettie; M V Gallo; M S Chee; M Mittmann; C Wang; M Kobayashi; H Horton; E L Brown
Journal:  Nat Biotechnol       Date:  1996-12       Impact factor: 54.908

10.  Evaluation of a deidentification (De-Id) software engine to share pathology reports and clinical documents for research.

Authors:  Dilip Gupta; Melissa Saul; John Gilbertson
Journal:  Am J Clin Pathol       Date:  2004-02       Impact factor: 2.493

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  1 in total

Review 1.  Convergence of biomarkers, bioinformatics and nanotechnology for individualized cancer treatment.

Authors:  John H Phan; Richard A Moffitt; Todd H Stokes; Jian Liu; Andrew N Young; Shuming Nie; May D Wang
Journal:  Trends Biotechnol       Date:  2009-05-04       Impact factor: 19.536

  1 in total

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