Pseudofinder

Pseudofinder identifies pseudogene candidates in annotated GenBank files from bacterial and archaeal genomes to detect gene inactivation and signatures of relaxed selection.


Key Features:

  • Reference-based multi-pronged detection: Employs a reference-based, multi-pronged approach to identify a broad spectrum of pseudogenes.
  • Detection of highly degraded pseudogenes: Identifies highly degraded pseudogenes that are often overlooked by conventional gene-calling pipelines.
  • Detection of newly formed pseudogenes: Detects newly formed pseudogenes characterized by minimal inactivating mutations.
  • Identification of relaxed-selection candidates: Detects intact genes under relaxed selection pressure that may represent early stages of pseudogenization.
  • Input format: Operates on annotated GenBank files from bacterial and archaeal genomes.
  • Designed for prokaryotic genomes: Targets gene-dense prokaryotic genomes where pseudogenes can be rare or subtle.

Scientific Applications:

  • Functional potential assessment: Identification and analysis of pseudogenes to assess the functional potential encoded within sequenced microbial genomes.
  • Evolutionary dynamics: Investigation of evolutionary dynamics that shape bacterial and archaeal genomes.
  • Population and ecological effects: Exploration of how ecological shifts or extreme population bottlenecks influence genome composition, gene inactivation, and pseudogenization.

Methodology:

Analyzes annotated GenBank files using a multi-pronged, reference-based computational approach to identify degraded and newly formed pseudogenes and to detect intact genes under relaxed selection pressure.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
3/31/2022
Last Updated:
3/31/2022

Operations

Publications

Syberg-Olsen MJ, Garber AI, Keeling PJ, McCutcheon JP, Husnik F. Pseudofinder: detection of pseudogenes in prokaryotic genomes. Unknown Journal. 2021. doi:10.1101/2021.10.07.463580.

Documentation