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Fuento: functional enrichment for bioinformatics.

David Weichselbaum1, Bojan Zagrovic1, Anton A Polyansky1

  • 1Department of Structural and Computational Biology, Max F. Perutz Laboratories & University of Vienna, Campus Vienna Biocenter 5, Vienna A-1030, Austria.

Bioinformatics (Oxford, England)
|April 6, 2017
PubMed
Summary

A new command-line tool, fu-en-to, offers efficient and multifunctional functional enrichment analysis for bioinformatics researchers. It addresses limitations in current gene expression analysis software.

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Area of Science:

  • Bioinformatics
  • Computational Biology

Background:

  • Existing functional enrichment software primarily targets gene expression analysis.
  • Current tools often rely on server-based or graphical user interfaces with limited scope.

Purpose of the Study:

  • To introduce fu-en-to, a novel command-line tool for functional enrichment analysis.
  • To provide bioinformatics researchers with an efficient and user-friendly solution.

Main Methods:

  • fu-en-to is implemented in C++.
  • The tool is designed as a command-line application for broad accessibility.

Main Results:

  • fu-en-to offers multifunctional capabilities beyond typical gene expression analysis.
  • The tool is efficient and user-friendly for bioinformatics workflows.

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Conclusions:

  • fu-en-to provides a versatile alternative to existing functional enrichment tools.
  • This command-line tool is tailored to meet the needs of modern bioinformatics research.