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myTAI: evolutionary transcriptomics with R.

Hajk-Georg Drost1,2, Alexander Gabel2, Jialin Liu3

  • 1Sainsbury Laboratory Cambridge, University of Cambridge, Cambridge CB2 1LR, UK.

Bioinformatics (Oxford, England)
|January 9, 2018
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Summary
This summary is machine-generated.

The myTAI R package helps researchers explore evolutionary conservation patterns in transcriptome data. It provides functions for analyzing gene expression across species, aiding comparative transcriptomics research.

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Area of Science:

  • Genomics and Bioinformatics
  • Evolutionary Biology
  • Molecular Biology

Background:

  • Next Generation Sequencing (NGS) generates vast transcriptome datasets for molecular process investigation.
  • Transcriptomics studies quantify and compare molecular phenotypes across biological processes.
  • Evolutionary conservation patterns within these transcriptomes remain largely unexplored.

Purpose of the Study:

  • To introduce the myTAI R package for inferring transcriptome conservation.
  • To enable exploratory analysis of transcriptome datasets for evolutionary insights.

Main Methods:

  • The myTAI package offers exploratory analysis functions.
  • It facilitates the inference of transcriptome conservation patterns.
  • Documentation and tutorials ensure reproducible and user-friendly application.

Main Results:

  • myTAI provides tools to analyze transcriptome datasets.
  • It enables the identification of evolutionary conservation patterns.
  • The package supports computationally reproducible research.

Conclusions:

  • myTAI is a valuable open-source tool for comparative transcriptomics.
  • It facilitates the investigation of evolutionary conservation in transcriptomes.
  • The package promotes reproducible research in evolutionary genomics.