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StatFingerprints: a friendly graphical interface program for processing and analysis of microbial fingerprint

R J Michelland1, S Dejean, S Combes

  • 1INRA, UMR 1289 TANDEM, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, F-31326 Castanet-Tolosan cedex, France, INPT-ENSAT, UMR 1289 TANDEM, Université de Toulouse, F-31326 Castanet-Tolosan cedex, France, ENVT, UMR 1289 TANDEM, F-31076 Toulouse cedex, France, Institut de Mathématiques, Université Paul Sabatier, 31062 Toulouse cedex 9, France.

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|May 14, 2011
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Summary

StatFingerprints is a free program that analyzes microbial community data using molecular fingerprinting. It simplifies complex statistical analyses and visualizations without requiring programming knowledge.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Molecular fingerprinting is crucial for comparing microbial communities across diverse environments.
  • Statistical analysis and visualization of this data are essential for ecological studies.
  • Existing tools may require programming expertise, limiting accessibility.

Purpose of the Study:

  • To introduce StatFingerprints, a user-friendly, free software for analyzing microbial community fingerprint data.
  • To provide a comprehensive tool for statistical analysis, diversity estimation, and visualization of microbial community profiles.
  • To facilitate the study of environmental factors influencing microbial communities.

Main Methods:

  • StatFingerprints utilizes the R environment for statistical computing and graphics.
  • The software offers a graphical user interface, eliminating the need for programming knowledge.
  • It supports data import, processing, display of fingerprint profiles, and diversity index estimation.

Main Results:

  • StatFingerprints enables multivariate analyses including ordination and clustering.
  • It performs hypothesis-driven tests such as multivariate analysis of variance and analysis of similarity.
  • The program allows for three-dimensional plotting of ordinations for enhanced visualization.

Conclusions:

  • StatFingerprints provides an accessible platform for microbial community analysis.
  • It aids in understanding the impact of environmental factors on microbial ecosystems.
  • The software empowers researchers to conduct sophisticated analyses without advanced programming skills.