Using AnABlast for intergenic sORF prediction in the Caenorhabditis elegans genome.

ABSTRACT:

Motivation

Short bioactive peptides encoded by small open reading frames (sORFs) play important roles in eukaryotes. Bioinformatics prediction of ORFs is an early step in a genome sequence analysis, but sORFs encoding short peptides, often using non-AUG initiation codons, are not easily discriminated from false ORFs occurring by chance.

Results

AnABlast is a computational tool designed to highlight putative protein-coding regions in genomic DNA sequences. This protein-coding finder is independent of ORF length and reading frame shifts, thus making of AnABlast a potentially useful tool to predict sORFs. Using this algorithm, here, we report the identification of 82 putative new intergenic sORFs in the Caenorhabditis elegans genome. Sequence similarity, motif presence, express

SUBMITTER: Casimiro-Soriguer CS 

PROVIDER: S-EPMC7723330 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature