Literature DB >> 21322290

Genomics: driving cancer biology.

Gemma K Alderton.   

Abstract

A new algorithm that combines gene expression and copy number alterations to identify driver genes and their possible function is reported. This was applied to melanoma samples, and vesicular trafficking was found to be an important process in this type of cancer.

Entities:  

Year:  2011        PMID： 21322290

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN： 1474-175X            Impact factor:   60.716


  1 in total

1.  An integrated approach to uncover drivers of cancer.

Authors:  Uri David Akavia; Oren Litvin; Jessica Kim; Felix Sanchez-Garcia; Dylan Kotliar; Helen C Causton; Panisa Pochanard; Eyal Mozes; Levi A Garraway; Dana Pe'er
Journal:  Cell       Date:  2010-12-02       Impact factor: 41.582
  1 in total
  2 in total

Review 1.  Genomic approaches in breast cancer research.

Authors:  Henry J Donahue; Damian C Genetos
Journal:  Brief Funct Genomics       Date:  2013-06-20       Impact factor: 4.241

2.  Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations.

Authors:  Yujia Lan; Wei Liu; Wanmei Zhang; Jing Hu; Xiaojing Zhu; Linyun Wan; Suru A; Yanyan Ping; Yun Xiao
Journal:  Cancer Med       Date:  2021-06-02       Impact factor: 4.452
  2 in total

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