Literature DB >> 20172948

Preprocessing and downstream analysis of microarray DNA copy number profiles.

Mark A van de Wiel1, Franck Picard, Wessel N van Wieringen, Bauke Ylstra.   

Abstract

Analysis of DNA copy number profiles requires methods tailored to the specific nature of these data. The number of available data analysis methods has grown enormously in the last 5 years. We discuss the typical characteristics of DNA copy number data, as measured by microarray technology and review the extensive literature on preprocessing methods such as segmentation and calling. Subsequently, the focus narrows to applications of DNA copy number in cancer, in particular, several downstream analyses of multi-sample data sets such as testing, clustering and classification. Finally, we look ahead: what should we prepare for and which methodology-related topics may deserve attention in the near future?

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Year:  2010        PMID: 20172948     DOI: 10.1093/bib/bbq004

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  25 in total

1.  Lessons from a decade of integrating cancer copy number alterations with gene expression profiles.

Authors:  Norman Huang; Parantu K Shah; Cheng Li
Journal:  Brief Bioinform       Date:  2011-09-23       Impact factor: 11.622

2.  Preserved genetic diversity in organoids cultured from biopsies of human colorectal cancer metastases.

Authors:  Fleur Weeber; Marc van de Wetering; Marlous Hoogstraat; Krijn K Dijkstra; Oscar Krijgsman; Thomas Kuilman; Christa G M Gadellaa-van Hooijdonk; Daphne L van der Velden; Daniel S Peeper; Edwin P J G Cuppen; Robert G Vries; Hans Clevers; Emile E Voest
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

3.  A Systems Biology Interpretation of Array Comparative Genomic Hybridization (aCGH) Data through Phylogenetics.

Authors:  Ayman N Abunimer; Jose Salazar; David P Noursi; Mones S Abu-Asab
Journal:  OMICS       Date:  2016-03

Review 4.  Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.

Authors:  John H Phan; Chang F Quo; Chihwen Cheng; May Dongmei Wang
Journal:  IEEE Rev Biomed Eng       Date:  2012

5.  Dissecting the gray zone between follicular lymphoma and marginal zone lymphoma using morphological and genetic features.

Authors:  Oscar Krijgsman; Patricia Gonzalez; Olga Balagué Ponz; Margaretha G M Roemer; Stefanie Slot; Annegien Broeks; Linde Braaf; Ron M Kerkhoven; Freek Bot; Krijn van Groningen; Max Beijert; Bauke Ylstra; Daphne de Jong
Journal:  Haematologica       Date:  2013-07-12       Impact factor: 9.941

6.  Comparative analysis of algorithms for integration of copy number and expression data.

Authors:  Riku Louhimo; Tatiana Lepikhova; Outi Monni; Sampsa Hautaniemi
Journal:  Nat Methods       Date:  2012-02-12       Impact factor: 28.547

7.  CGHpower: exploring sample size calculations for chromosomal copy number experiments.

Authors:  Ilari Scheinin; José A Ferreira; Sakari Knuutila; Gerrit A Meijer; Mark A van de Wiel; Bauke Ylstra
Journal:  BMC Bioinformatics       Date:  2010-06-17       Impact factor: 3.169

8.  Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses.

Authors:  Wessel N van Wieringen; Kristian Unger; Gwenaël G R Leday; Oscar Krijgsman; Renée X de Menezes; Bauke Ylstra; Mark A van de Wiel
Journal:  BMC Bioinformatics       Date:  2012-05-04       Impact factor: 3.169

9.  Hybridization and amplification rate correction for affymetrix SNP arrays.

Authors:  Quan Wang; Peichao Peng; Minping Qian; Lin Wan; Minghua Deng
Journal:  BMC Med Genomics       Date:  2012-06-12       Impact factor: 3.063

10.  Array-based comparative genomic hybridization is more informative than conventional karyotyping and fluorescence in situ hybridization in the analysis of first-trimester spontaneous abortion.

Authors:  Jinsong Gao; Congcong Liu; Fengxia Yao; Na Hao; Jing Zhou; Qian Zhou; Liang Zhang; Xinyan Liu; Xuming Bian; Juntao Liu
Journal:  Mol Cytogenet       Date:  2012-07-16       Impact factor: 2.009

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