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

J J Schageman1, M Basit, T D Gallardo

  • 1The University of Texas Southwestern Medical Center, Mcdermott Center for Human Growth and Development and Ryburn Cardiology Center, Dallas 75390-8591, USA. Jeff.Schageman@UTSouthwestern.edu

Biotechniques
|February 19, 2002
PubMed
Summary
This summary is machine-generated.

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MarC-V simplifies cDNA microarray data analysis. This Excel-based tool automates visualization and calculations, reducing errors and saving time for researchers studying gene expression.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Comprehensive analysis and visualization of cDNA microarray data is often time-consuming and prone to errors.
  • The increasing number of gene elements on microarrays necessitates the development of efficient analysis tools.

Purpose of the Study:

  • To present MarC-V, a novel tool designed to automate cDNA microarray data analysis.
  • To provide a familiar and flexible platform for data visualization and calculation using Microsoft Excel.

Main Methods:

  • MarC-V is a Microsoft Excel spreadsheet tool utilizing Visual Basic macros.
  • Automated features include data thresholding, normalization, ratio frequency plots, and scatter plots.
  • The tool supports data filtering, ratio scoring, and exporting for multi-array analysis, with GPR raw data import.

Related Experiment Videos

Main Results:

  • MarC-V automates key visualization and calculation steps in cDNA microarray data analysis.
  • The tool enhances efficiency and reduces potential errors associated with manual analysis.
  • It offers functionalities for data filtering, scoring, and export, facilitating further analysis.

Conclusions:

  • MarC-V offers a user-friendly and efficient solution for analyzing cDNA microarray data.
  • The tool's automation capabilities address the challenges posed by large-scale gene expression studies.
  • MarC-V integrates seamlessly with existing Excel workflows, supporting researchers in gene expression analysis.