Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes.

ABSTRACT:

Background

Recent advances in sequencing technologies have led to an explosion in the number of genomes available, but accurate genome annotation remains a major challenge. The prediction of protein-coding genes in eukaryotic genomes is especially problematic, due to their complex exon-intron structures. Even the best eukaryotic gene prediction algorithms can make serious errors that will significantly affect subsequent analyses.

Results

We first investigated the prevalence of gene prediction errors in a large set of 176,478 proteins from ten primate proteomes available in public databases. Using the well-studied human proteins as a reference, a total of 82,305 potential errors were detected, including 44,001 deletions, 27,289 insertions and 11,015 mismatched segments where

SUBMITTER: Meyer C 

PROVIDER: S-EPMC7656754 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature