Literature DB >> 20238077

Cancer genome analysis informatics.

Ian P Barrett1.   

Abstract

The analysis of cancer genomes has benefited from the advances in technology that enable data to be generated on an unprecedented scale, describing a tumour genome's sequence and composition at increasingly high resolution and reducing cost. This progress is likely to increase further over the coming years as next-generation sequencing approaches are applied to the study of cancer genomes, in tandem with large-scale efforts such as the Cancer Genome Atlas and recently announced International Cancer Genome Consortium efforts to complement those already established such as the Sanger Institute Cancer Genome Project. This presents challenges for the cancer researcher and the research community in general, in terms of analysing the data generated in one's own projects and also in coordinating and interrogating data that are publicly available. This review aims to provide a brief overview of some of the main informatics resources currently available and their use, and some of the informatics approaches that may be applied in the study of cancer genomes.

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Year:  2010        PMID: 20238077     DOI: 10.1007/978-1-60327-367-1_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

Review 1.  Annotating individual human genomes.

Authors:  Ali Torkamani; Ashley A Scott-Van Zeeland; Eric J Topol; Nicholas J Schork
Journal:  Genomics       Date:  2011-08-02       Impact factor: 5.736

Review 2.  A network perspective on unraveling the role of TRP channels in biology and disease.

Authors:  Jung Nyeo Chun; Jin Muk Lim; Young Kang; Eung Hee Kim; Young-Cheul Shin; Hong-Gee Kim; Dayk Jang; Dongseop Kwon; Soo-Yong Shin; Insuk So; Ju-Hong Jeon
Journal:  Pflugers Arch       Date:  2013-05-16       Impact factor: 3.657

3.  Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas.

Authors:  Eri Arai; Suenori Chiku; Taisuke Mori; Masahiro Gotoh; Tohru Nakagawa; Hiroyuki Fujimoto; Yae Kanai
Journal:  Carcinogenesis       Date:  2012-05-18       Impact factor: 4.944

4.  CANcer-specific Evaluation System (CANES): a high-accuracy platform, for preclinical single/multi-biomarker discovery.

Authors:  Min-Seok Kwon; Seungyoon Nam; Sungyoung Lee; Young Zoo Ahn; Hae Ryung Chang; Yon Hui Kim; Taesung Park
Journal:  Oncotarget       Date:  2017-07-15

5.  The New Genetic Landscape of Cushing's Disease: Deubiquitinases in the Spotlight.

Authors:  Silviu Sbiera; Meik Kunz; Isabel Weigand; Timo Deutschbein; Thomas Dandekar; Martin Fassnacht
Journal:  Cancers (Basel)       Date:  2019-11-08       Impact factor: 6.639

  5 in total

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