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MarC-V: A Spreadsheet-Based Tool for Analysis, Normalization, and Visualization of Single cDNA Microarray Experiments
Author(s) -
Jeoffrey Schageman,
Mujeeb Basit,
Teresa D. Gallardo,
Harold R. Garner,
Ralph V. Shohet
Publication year - 2002
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/02322st07
Subject(s) - visualization , normalization (sociology) , computer science , thresholding , dna microarray , database normalization , data visualization , raw data , data mining , gene chip analysis , macro , computational biology , artificial intelligence , pattern recognition (psychology) , biology , gene expression , gene , genetics , programming language , sociology , anthropology , image (mathematics)
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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