Literature DB >> 19034774

Experimental design and data analysis for array comparative genomic hybridization.

Peter J Park1.   

Abstract

Array comparative genomic hybridization (aCGH) is a technique for measuring chromosomal aberrations in genomic DNA. With the availability of high-resolution microarrays, detailed characterization of the cancer genome has become possible. In this review, we discuss several issues in the generation and interpretation of aCGH data, including array platforms, experimental design, and data analysis. Due to the complexity of the data, application of appropriate statistical methods is crucial for avoiding false positive findings. We also describe integration of copy number data with other types of data to identify functional significance of observed aberrations.

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Year:  2008        PMID: 19034774     DOI: 10.1080/07357900801993432

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


  9 in total

1.  Detection of copy number variants and loss of heterozygosity from impure tumor samples using whole exome sequencing data.

Authors:  Xiaocheng Liu; Ao Li; Jianing Xi; Huanqing Feng; Minghui Wang
Journal:  Oncol Lett       Date:  2018-07-16       Impact factor: 2.967

2.  GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays.

Authors:  Ao Li; Zongzhi Liu; Kimberly Lezon-Geyda; Sudipa Sarkar; Donald Lannin; Vincent Schulz; Ian Krop; Eric Winer; Lyndsay Harris; David Tuck
Journal:  Nucleic Acids Res       Date:  2011-03-11       Impact factor: 16.971

3.  DeAnnCNV: a tool for online detection and annotation of copy number variations from whole-exome sequencing data.

Authors:  Yuanwei Zhang; Zhenhua Yu; Rongjun Ban; Huan Zhang; Furhan Iqbal; Aiwu Zhao; Ao Li; Qinghua Shi
Journal:  Nucleic Acids Res       Date:  2015-05-26       Impact factor: 16.971

4.  CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data.

Authors:  Zhenhua Yu; Yuanning Liu; Yi Shen; Minghui Wang; Ao Li
Journal:  Bioinformatics       Date:  2014-05-19       Impact factor: 6.937

5.  CLImAT-HET: detecting subclonal copy number alterations and loss of heterozygosity in heterogeneous tumor samples from whole-genome sequencing data.

Authors:  Zhenhua Yu; Ao Li; Minghui Wang
Journal:  BMC Med Genomics       Date:  2017-03-15       Impact factor: 3.063

6.  Elongation Factor TFIIS Prevents Transcription Stress and R-Loop Accumulation to Maintain Genome Stability.

Authors:  Diana Zatreanu; Zhong Han; Richard Mitter; Emanuela Tumini; Hannah Williams; Lea Gregersen; A Barbara Dirac-Svejstrup; Stefania Roma; Aengus Stewart; Andres Aguilera; Jesper Q Svejstrup
Journal:  Mol Cell       Date:  2019-09-10       Impact factor: 19.328

7.  Genome-wide identification of somatic aberrations from paired normal-tumor samples.

Authors:  Ao Li; Yuanning Liu; Qihong Zhao; Huanqing Feng; Lyndsay Harris; Minghui Wang
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

8.  RECQL5 controls transcript elongation and suppresses genome instability associated with transcription stress.

Authors:  Marco Saponaro; Theodoros Kantidakis; Richard Mitter; Gavin P Kelly; Mark Heron; Hannah Williams; Johannes Söding; Aengus Stewart; Jesper Q Svejstrup
Journal:  Cell       Date:  2014-05-15       Impact factor: 41.582

9.  iSeg: an efficient algorithm for segmentation of genomic and epigenomic data.

Authors:  Senthil B Girimurugan; Yuhang Liu; Pei-Yau Lung; Daniel L Vera; Jonathan H Dennis; Hank W Bass; Jinfeng Zhang
Journal:  BMC Bioinformatics       Date:  2018-04-11       Impact factor: 3.169

  9 in total

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