Literature DB >> 11848411

MarC-V: a spreadsheet-based tool for analysis, normalization, and visualization of single cDNA microarray experiments.

J J Schageman1, M Basit, T D Gallardo, H R Garner, R V Shohet.   

Abstract

The comprehensive analysis and visualization of data extracted from cDNA microarrays can be a time-consuming and error-prone process that becomes increasingly tedious with increased number of gene elements on a particular microarray. With the increasingly large number of gene elements on today's microarrays, analysis tools must be developed to meet this challenge. Here, we present MarC-V, a Microsoft Excel spreadsheet tool with Visual Basic macros to automate much of the visualization and calculation involved in the analysis process while providing the familiarity and flexibility of Excel. Automated features of this tool include (i) lower-bound thresholding, (ii) data normalization, (iii) generation of ratio frequency distribution plots, (iv) generation of scatter plots color-coded by expression level, (v) ratio scoring based on intensity measurements, (vi) filtering of data based on expression level or specific gene interests, and (vii) exporting data for subsequent multi-array analysis. MarC-V also has an importing function included for GenePix results (GPR) raw data files.

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Year:  2002        PMID: 11848411     DOI: 10.2144/02322st07

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  3 in total

1.  Gene expression in Porphyromonas gingivalis after contact with human epithelial cells.

Authors:  Yumiko Hosogi; Margaret J Duncan
Journal:  Infect Immun       Date:  2005-04       Impact factor: 3.441

2.  Transcriptional analysis of mouse skeletal myofiber diversity and adaptation to endurance exercise.

Authors:  Hai Wu; Teresa Gallardo; Eric N Olson; R Sanders Williams; Ralph V Shohet
Journal:  J Muscle Res Cell Motil       Date:  2003       Impact factor: 2.698

3.  ArraySolver: an algorithm for colour-coded graphical display and Wilcoxon signed-rank statistics for comparing microarray gene expression data.

Authors:  Haseeb Ahmad Khan
Journal:  Comp Funct Genomics       Date:  2004
  3 in total

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