Literature DB >> 12176840

MArray: analysing single, replicated or reversed microarray experiments.

Junbai Wang1, Vigdis Nygaard, Birgitte Smith-Sørensen, Eivind Hovig, Ola Myklebost.   

Abstract

UNLABELLED: MArray is a Matlab toolbox with a graphical user interface that allows the user to analyse single or paired microarray datasets by direct input of the raw data output file from image analysis packages, such as QuantArray or GenePiX. The application provides simple procedures to manually evaluate the quality of each measurement, multiple approaches to both ratio normalization (simple normalization, intensity dependent normalization) and evaluation of the reproducibility of paired experiments (using the techniques 'simple statistical method' and 'quality control ellipse' and 'significance analysis of microarrays'). Specifically, interactive spot evaluation functions are available in MArray and an online gene information database (NCBI UniGene) is linked. The application may provide a valuable aid in selecting and optimizing experimental procedures, as well as serving as an analytical tool for two-state biological comparisons, such as a study of single-dose activation. It is entirely platform independent, and only requires Matlab installed. AVAILABILITY: http://matrise.uio.no/marray/marray.html

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Year:  2002        PMID: 12176840     DOI: 10.1093/bioinformatics/18.8.1139

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


  16 in total

1.  The transcriptome of prematurely aging yeast cells is similar to that of telomerase-deficient cells.

Authors:  Isabelle Lesur; Judith L Campbell
Journal:  Mol Biol Cell       Date:  2004-01-12       Impact factor: 4.138

2.  Diverse environmental stresses elicit distinct responses at the level of pre-mRNA processing in yeast.

Authors:  Megan Bergkessel; Gregg B Whitworth; Christine Guthrie
Journal:  RNA       Date:  2011-06-22       Impact factor: 4.942

3.  Rapid evolution of disease resistance is accompanied by functional changes in gene expression in a wild bird.

Authors:  Camille Bonneaud; Susan L Balenger; Andrew F Russell; Jiangwen Zhang; Geoffrey E Hill; Scott V Edwards
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-27       Impact factor: 11.205

4.  Robin: an intuitive wizard application for R-based expression microarray quality assessment and analysis.

Authors:  Marc Lohse; Adriano Nunes-Nesi; Peter Krüger; Axel Nagel; Jan Hannemann; Federico M Giorgi; Liam Childs; Sonia Osorio; Dirk Walther; Joachim Selbig; Nese Sreenivasulu; Mark Stitt; Alisdair R Fernie; Björn Usadel
Journal:  Plant Physiol       Date:  2010-04-13       Impact factor: 8.340

5.  EuroDia: a beta-cell gene expression resource.

Authors:  Robin Liechti; Gábor Csárdi; Sven Bergmann; Frédéric Schütz; Thierry Sengstag; Sylvia F Boj; Joan-Marc Servitja; Jorge Ferrer; Leentje Van Lommel; Frans Schuit; Sonia Klinger; Bernard Thorens; Najib Naamane; Decio L Eizirik; Lorella Marselli; Marco Bugliani; Piero Marchetti; Stephanie Lucas; Cecilia Holm; C Victor Jongeneel; Ioannis Xenarios
Journal:  Database (Oxford)       Date:  2010-10-12       Impact factor: 3.451

6.  Changes in prostate gene expression in men undergoing an intensive nutrition and lifestyle intervention.

Authors:  Dean Ornish; Mark Jesus M Magbanua; Gerdi Weidner; Vivian Weinberg; Colleen Kemp; Christopher Green; Michael D Mattie; Ruth Marlin; Jeff Simko; Katsuto Shinohara; Christopher M Haqq; Peter R Carroll
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-16       Impact factor: 11.205

7.  Effect of Xpcl1 activation and p27(Kip1) loss on gene expression in murine lymphoma.

Authors:  Daniel A Kuppers; Harry C Hwang; Aimee L Jackson; Peter S Linsley; Bruce E Clurman; Matthew L Fero
Journal:  PLoS One       Date:  2011-03-11       Impact factor: 3.240

8.  BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors.

Authors:  Junbai Wang
Journal:  BMC Bioinformatics       Date:  2009-10-20       Impact factor: 3.169

9.  Genome-wide analysis uncovers high frequency, strong differential chromosomal interactions and their associated epigenetic patterns in E2-mediated gene regulation.

Authors:  Junbai Wang; Xun Lan; Pei-Yin Hsu; Hang-Kai Hsu; Kun Huang; Jeffrey Parvin; Tim H-M Huang; Victor X Jin
Journal:  BMC Genomics       Date:  2013-01-31       Impact factor: 3.969

10.  A measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.

Authors:  David Venet; Vincent Detours; Hugues Bersini
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

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