P-GRe: An efficient pipeline for pseudogenes annotation

Formerly considered as part of "junk DNA", pseudogenes are nowadays known for their role in the post-transcriptional regulation of functional genes. Their identification also contributes to a better understanding of gene evolution, particularly in relation to adaptive responses and the evolution of multigene families. Despite this, there is, to our knowledge, no fully automatic pipeline allowing annotation of the pseudogenes on a whole genome. Here, we propose a new software named Pseudo-Gene Retriever (P-GRe). This is a completely automated pseudogene prediction tool requiring only a genome sequence, its corresponding GFF annotation file, and a protein sequences file. The aligner miniprot has been integrated in our pipeline, because of its high speed and sensitivity. With several filtering and post-analysis steps P-GRe outperforms existing software, while being more sensitive and bringing the new capacity of annotating unitary pseudogenes.

Authors

Institutions

Publication Details

Journal
Genomics
Published
2026-02-09
DOI
https://doi.org/10.1016/j.ygeno.2026.111216
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-GRe: An efficient pipeline for pseudogenes annotation

Catherine Mathé, Sébastien Christophe Cabanac, Christophe Dunand
Genomics
Machine Learning in Bioinformatics
article

P-GRe: An efficient pipeline for pseudogenes annotation

Catherine Mathé, Sébastien Christophe Cabanac, Christophe Dunand
article en

Abstract

Formerly considered as part of "junk DNA", pseudogenes are nowadays known for their role in the post-transcriptional regulation of functional genes. Their identification also contributes to a better understanding of gene evolution, particularly in relation to adaptive responses and the evolution of multigene families. Despite this, there is, to our knowledge, no fully automatic pipeline allowing annotation of the pseudogenes on a whole genome. Here, we propose a new software named Pseudo-Gene Retriever (P-GRe). This is a completely automated pseudogene prediction tool requiring only a genome sequence, its corresponding GFF annotation file, and a protein sequences file. The aligner miniprot has been integrated in our pipeline, because of its high speed and sensitivity. With several filtering and post-analysis steps P-GRe outperforms existing software, while being more sensitive and bringing the new capacity of annotating unitary pseudogenes.

GenomicsVol. 118(2)
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire de Recherche en Sciences Végétales (FR)
Openalex Percentile: Top 62%
Machine Learning in Bioinformatics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.