Literature DB >> 18037611

GEAR: genomic enrichment analysis of regional DNA copy number changes.

Tae-Min Kim1, Yu-Chae Jung, Mun-Gan Rhyu, Myeong Ho Jung, Yeun-Jun Chung.   

Abstract

UNLABELLED: We developed an algorithm named GEAR (genomic enrichment analysis of regional DNA copy number changes) for functional interpretation of genome-wide DNA copy number changes identified by array-based comparative genomic hybridization. GEAR selects two types of chromosomal alterations with potential biological relevance, i.e. recurrent and phenotype-specific alterations. Then it performs functional enrichment analysis using a priori selected functional gene sets to identify primary and clinical genomic signatures. The genomic signatures identified by GEAR represent functionally coordinated genomic changes, which can provide clues on the underlying molecular mechanisms related to the phenotypes of interest. GEAR can help the identification of key molecular functions that are activated or repressed in the tumor genomes leading to the improved understanding on the tumor biology. AVAILABILITY: GEAR software is available with online manual in the website, http://www.systemsbiology.co.kr/GEAR/.

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Year:  2007        PMID: 18037611     DOI: 10.1093/bioinformatics/btm582

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  Clinical implication of recurrent copy number alterations in hepatocellular carcinoma and putative oncogenes in recurrent gains on 1q.

Authors:  Tae-Min Kim; Seon-Hee Yim; Seung-Hun Shin; Hai-Dong Xu; Yu-Chae Jung; Cheol-Keun Park; Jong-Young Choi; Won-Sang Park; Mi-Seon Kwon; Heike Fiegler; Nigel P Carter; Mun-Gan Rhyu; Yeun-Jun Chung
Journal:  Int J Cancer       Date:  2008-12-15       Impact factor: 7.396

Review 2.  Gene set enrichment analysis: performance evaluation and usage guidelines.

Authors:  Jui-Hung Hung; Tun-Hsiang Yang; Zhenjun Hu; Zhiping Weng; Charles DeLisi
Journal:  Brief Bioinform       Date:  2011-09-07       Impact factor: 11.622

3.  waviCGH: a web application for the analysis and visualization of genomic copy number alterations.

Authors:  Angel Carro; Daniel Rico; Oscar M Rueda; Ramón Díaz-Uriarte; David G Pisano
Journal:  Nucleic Acids Res       Date:  2010-05-27       Impact factor: 16.971

4.  Copy number variations in East-Asian population and their evolutionary and functional implications.

Authors:  Seon-Hee Yim; Tae-Min Kim; Hae-Jin Hu; Ji-Hong Kim; Bong-Jo Kim; Jong-Young Lee; Bok-Ghee Han; Seung-Hun Shin; Seung-Hyun Jung; Yeun-Jun Chung
Journal:  Hum Mol Genet       Date:  2009-12-21       Impact factor: 6.150

5.  Discovering tumor suppressor genes through genome-wide copy number analysis.

Authors:  S Michael Rothenberg; Jeff Settleman
Journal:  Curr Genomics       Date:  2010-08       Impact factor: 2.236

6.  A Novel Graph-based Algorithm to Infer Recurrent Copy Number Variations in Cancer.

Authors:  Chen Chi; Rasif Ajwad; Qin Kuang; Pingzhao Hu
Journal:  Cancer Inform       Date:  2016-10-09

7.  CHESS (CgHExpreSS): a comprehensive analysis tool for the analysis of genomic alterations and their effects on the expression profile of the genome.

Authors:  Mikyung Lee; Yangseok Kim
Journal:  BMC Bioinformatics       Date:  2009-12-16       Impact factor: 3.169

  7 in total

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