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EvoCor: a platform for predicting functionally related genes using phylogenetic and expression profiles.

W James Dittmar1, Lauren McIver2, Pawel Michalak2

  • 1Virginia Tech Carilion School of Medicine, Roanoke, VA 24016, USA.

Nucleic Acids Research
|May 23, 2014
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Summary
This summary is machine-generated.

This study introduces EvoCor, a web server that identifies functionally related genes by analyzing evolutionary and gene expression data. EvoCor makes complex genomic analysis accessible for discovering genes controlling cellular processes.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Vast amounts of gene expression and genomic data offer opportunities for computational analysis.
  • Identifying genes controlling cellular processes requires analyzing co-evolution and expression patterns.
  • Current methods are computationally intensive, limiting accessibility for many researchers.

Purpose of the Study:

  • To develop a user-friendly web server for predicting genes involved in specific cellular processes.
  • To enable researchers to identify functional relationships between genes of interest.
  • To leverage evolutionary and gene expression data for functional inference.

Main Methods:

  • Integration of Hidden Markov Model (HMM)-derived sequence divergence profiles.
  • Analysis of tissue-wide gene expression patterns.
  • Development of the EvoCor web server (http://pilot-hmm.vbi.vt.edu/) for functional linkage prediction.

Main Results:

  • The EvoCor server successfully integrates evolutionary and gene expression data.
  • It predicts putative functional linkages between pairs of genes.
  • The server provides an accessible tool for end-users.

Conclusions:

  • EvoCor simplifies the discovery of functionally related genes.
  • It facilitates the identification of genes controlling specific cellular processes.
  • The web server democratizes complex genomic data analysis.