PIC-Me: paralogs and isoforms classifier based on machine-learning approaches.

Journal: BMC bioinformatics
PMID:

Abstract

BACKGROUND: Paralogs formed through gene duplication and isoforms formed through alternative splicing have been important processes for increasing protein diversity and maintaining cellular homeostasis. Despite their recognized importance and the advent of large-scale genomic and transcriptomic analyses, paradoxically, accurate annotations of all gene loci to allow the identification of paralogs and isoforms remain surprisingly incomplete. In particular, the global analysis of the transcriptome of a non-model organism for which there is no reference genome is especially challenging.

Authors

  • Jooseong Oh
    School of Biological Sciences and Technology, Chonnam National University, Gwangju, 61186, Republic of Korea.
  • Sung-Gwon Lee
    School of Biological Sciences and Technology, Chonnam National University, Gwangju, 61186, Republic of Korea.
  • Chungoo Park
    School of Biological Sciences and Technology, Chonnam National University, Gwangju, 61186, Republic of Korea. chungoo@jnu.ac.kr.