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Functional Characterization of Clinical Isolates of the Opportunistic Fungal Pathogen Aspergillus nidulans.

Author(s): Bastos RW, Valero C, Silva LP, Schoen T, Drott M, Brauer V, Silva-Rocha R, Lind A, Steenwyk JL, Rokas A, Rodrigues F, Resendiz-Sharpe A, Lag...

mSphere. 2020 Apr 08;5(2): Authors: Bastos RW, Valero C, Silva LP, Schoen T, Drott M, Brauer V, Silva-Rocha R, Lind A, Steenwyk JL, Rokas A, Rodrigues F, Resendiz-Sharpe A, Lagrou K, Marcet-Houben...

Article GUID: 32269156
SnowyOwl: accurate prediction of fungal genes by using RNA-Seq and homology information to select among ab initio models.

Author(s): Reid I, O'Toole N, Zabaneh O, Nourzadeh R, Dahdouli M, Abdellateef M, Gordon PM, Soh J, Butler G, Sensen CW, Tsang A

BMC Bioinformatics. 2014 Jul 01;15:229 Authors: Reid I, O'Toole N, Zabaneh O, Nourzadeh R, Dahdouli M, Abdellateef M, Gordon PM, Soh J, Butler G, Sensen CW, Tsang A

Article GUID: 24980894
Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics.

Author(s): Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA

Methods Mol Biol. 2017;1588:279-298 Authors: Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA

Article GUID: 28417376
Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes.

Author(s): Reid I

Methods Mol Biol. 2018;1775:209-227 Authors: Reid I

Article GUID: 29876820
Title:Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes.
Authors:Reid I
Link:https://www.ncbi.nlm.nih.gov/pubmed/29876820?dopt=Abstract
DOI:10.1007/978-1-4939-7804-5_17
Category:Methods Mol Biol
PMID:29876820
Dept Affiliation: GENOMICS
1 Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. ian.reid@concordia.ca.

Description:

Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes.

Methods Mol Biol. 2018;1775:209-227

Authors: Reid I

Abstract

The steps needed to computationally predict genes and transcripts in fungal genomes with support from RNA-Seq data are described in detail for three prediction programs: CodingQuarry, BRAKER1, and Harfang. These programs predicted from 86% to 92% (Harfang) of the genes in a manually curated reference set for Aspergillus niger strain NRRL3. Genes with little or no RNA-Seq read coverage were predicted less successfully than genes with adequate coverage.

PMID: 29876820 [PubMed - indexed for MEDLINE]