CESAR 2.0 substantially improves speed and accuracy of comparative gene annotation

    loading  Checking for direct PDF access through Ovid

Abstract

Motivation:

Homology-based gene prediction is a powerful concept to annotate newly sequenced genomes. We have previously demonstrated that whole genome alignments can be utilized for accurate comparative coding gene annotation.

Results:

Here we present CESAR 2.0 that utilizes genome alignments to transfer coding gene annotations from one reference to many other aligned genomes. We show that CESAR 2.0 is 77 times faster and requires 31 times less memory compared to its predecessor. CESAR 2.0 substantially improves the ability to align splice sites that have shifted over larger distances, allowing for precise identification of the exon boundaries in the aligned genome. Finally, CESAR 2.0 supports entire genes, which enables the annotation of joined exons that arose by complete intron deletions. CESAR 2.0 can readily be applied to new genome alignments to annotate coding genes in many other genomes at improved accuracy and without necessitating large-computational resources.

Availability and implementation:

Source code is freely available at https://github.com/hillerlab/CESAR2.0

Contact:

hiller@mpi-cbg.de

Supplementary information:

Supplementary data are available at Bioinformatics online.

Related Topics

    loading  Loading Related Articles