Literature DB >> 12824348

ExpressYourself: A modular platform for processing and visualizing microarray data.

Nicholas M Luscombe1, Thomas E Royce, Paul Bertone, Nathaniel Echols, Christine E Horak, Joseph T Chang, Michael Snyder, Mark Gerstein.   

Abstract

DNA microarrays are widely used in biological research; by analyzing differential hybridization on a single microarray slide, one can detect changes in mRNA expression levels, increases in DNA copy numbers and the location of transcription factor binding sites on a genomic scale. Having performed the experiments, the major challenge is to process large, noisy datasets in order to identify the specific array elements that are significantly differentially hybridized. This normally requires aggregating different, often incompatible programs into a multi-step pipeline. Here we present ExpressYourself, a fully integrated platform for processing microarray data. In completely automated fashion, it will correct the background array signal, normalize the Cy5 and Cy3 signals, score levels of differential hybridization, combine the results of replicate experiments, filter problematic regions of the array and assess the quality of individual and replicate experiments. ExpressYourself is designed with a highly modular architecture so various types of microarray analysis algorithms can readily be incorporated as they are developed; for example, the system currently implements several normalization methods, including those that simultaneously consider signal intensity and slide location. The processed data are presented using a web-based graphical interface to facilitate comparison with the original images of the array slides. In particular, Express Yourself is able to regenerate images of the original microarray after applying various steps of processing, which greatly facilities identification of position-specific artifacts. The program is freely available for use at http://bioinfo.mbb.yale.edu/expressyourself.

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Year:  2003        PMID: 12824348      PMCID: PMC169034          DOI: 10.1093/nar/gkg628

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  48 in total

1.  Effect of local background intensities in the normalization of cDNA microarray data with a skewed expression profiles.

Authors:  Jin Hyuk Kim; Dong Mi Shin; Yong Sung Lee
Journal:  Exp Mol Med       Date:  2002-07-31       Impact factor: 8.718

2.  The transcriptional program of sporulation in budding yeast.

Authors:  S Chu; J DeRisi; M Eisen; J Mulholland; D Botstein; P O Brown; I Herskowitz
Journal:  Science       Date:  1998-10-23       Impact factor: 47.728

3.  Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

Authors:  M Schena; D Shalon; R Heller; A Chai; P O Brown; R W Davis
Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-01       Impact factor: 11.205

4.  Exploring the metabolic and genetic control of gene expression on a genomic scale.

Authors:  J L DeRisi; V R Iyer; P O Brown
Journal:  Science       Date:  1997-10-24       Impact factor: 47.728

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

6.  Genome-wide expression monitoring in Saccharomyces cerevisiae.

Authors:  L Wodicka; H Dong; M Mittmann; M H Ho; D J Lockhart
Journal:  Nat Biotechnol       Date:  1997-12       Impact factor: 54.908

Review 7.  Functional exploration of the C. elegans genome using DNA microarrays.

Authors:  Valerie Reinke
Journal:  Nat Genet       Date:  2002-12       Impact factor: 38.330

Review 8.  Genome screening by comparative genomic hybridization.

Authors:  F Forozan; R Karhu; J Kononen; A Kallioniemi; O P Kallioniemi
Journal:  Trends Genet       Date:  1997-10       Impact factor: 11.639

9.  Use of a cDNA microarray to analyse gene expression patterns in human cancer.

Authors:  J DeRisi; L Penland; P O Brown; M L Bittner; P S Meltzer; M Ray; Y Chen; Y A Su; J M Trent
Journal:  Nat Genet       Date:  1996-12       Impact factor: 38.330

Review 10.  Global analysis of gene expression in yeast.

Authors:  Christine E Horak; Michael Snyder
Journal:  Funct Integr Genomics       Date:  2002-07-10       Impact factor: 3.410

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  17 in total

1.  Distribution of NF-kappaB-binding sites across human chromosome 22.

Authors:  Rebecca Martone; Ghia Euskirchen; Paul Bertone; Stephen Hartman; Thomas E Royce; Nicholas M Luscombe; John L Rinn; F Kenneth Nelson; Perry Miller; Mark Gerstein; Sherman Weissman; Michael Snyder
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-03       Impact factor: 11.205

2.  ArrayPipe: a flexible processing pipeline for microarray data.

Authors:  Karsten Hokamp; Fiona M Roche; Michael Acab; Marc-Etienne Rousseau; Byron Kuo; David Goode; Dana Aeschliman; Jenny Bryan; Lorne A Babiuk; Robert E W Hancock; Fiona S L Brinkman
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  A pilot study of transcription unit analysis in rice using oligonucleotide tiling-path microarray.

Authors:  Viktor Stolc; Lei Li; Xiangfeng Wang; Xueyong Li; Ning Su; Waraporn Tongprasit; Bin Han; Yongbiao Xue; Jiayang Li; Michael Snyder; Mark Gerstein; Jun Wang; Xing Wang Deng
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

4.  DNA replication-timing analysis of human chromosome 22 at high resolution and different developmental states.

Authors:  Eric J White; Olof Emanuelsson; David Scalzo; Thomas Royce; Steven Kosak; Edward J Oakeley; Sherman Weissman; Mark Gerstein; Mark Groudine; Michael Snyder; Dirk Schübeler
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-10       Impact factor: 11.205

5.  Dynamic and complex transcription factor binding during an inducible response in yeast.

Authors:  Li Ni; Can Bruce; Christopher Hart; Justine Leigh-Bell; Daniel Gelperin; Lara Umansky; Mark B Gerstein; Michael Snyder
Journal:  Genes Dev       Date:  2009-06-01       Impact factor: 11.361

6.  Genome-scale analysis of interaction dynamics reveals organization of biological networks.

Authors:  Jishnu Das; Jaaved Mohammed; Haiyuan Yu
Journal:  Bioinformatics       Date:  2012-05-09       Impact factor: 6.937

7.  Target hub proteins serve as master regulators of development in yeast.

Authors:  Anthony R Borneman; Justine A Leigh-Bell; Haiyuan Yu; Paul Bertone; Mark Gerstein; Michael Snyder
Journal:  Genes Dev       Date:  2006-01-31       Impact factor: 11.361

8.  Global changes in STAT target selection and transcription regulation upon interferon treatments.

Authors:  Stephen E Hartman; Paul Bertone; Anjali K Nath; Thomas E Royce; Mark Gerstein; Sherman Weissman; Michael Snyder
Journal:  Genes Dev       Date:  2005-11-30       Impact factor: 11.361

9.  CREB binds to multiple loci on human chromosome 22.

Authors:  Ghia Euskirchen; Thomas E Royce; Paul Bertone; Rebecca Martone; John L Rinn; F Kenneth Nelson; Fred Sayward; Nicholas M Luscombe; Perry Miller; Mark Gerstein; Sherman Weissman; Michael Snyder
Journal:  Mol Cell Biol       Date:  2004-05       Impact factor: 4.272

10.  Pomelo II: finding differentially expressed genes.

Authors:  Edward R Morrissey; Ramón Diaz-Uriarte
Journal:  Nucleic Acids Res       Date:  2009-05-12       Impact factor: 16.971

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