Keyword search (4,163 papers available)

"Reid I" Authored Publications:

Title Authors PubMed ID
1 Global survey of secondary metabolism in em Aspergillus niger /em via activation of specific transcription factors Semper C; Pham TTM; Ram S; Palys S; Evdokias G; Ouedraogo JP; Moisan MC; Geoffrion N; Reid I; Di Falco M; Bailey Z; Tsang A; Benoit-Gelber I; Savchenko A; 40852424
GENOMICS
2 Loss of function of the carbon catabolite repressor CreA leads to low but inducer-independent expression from the feruloyl esterase B promoter in Aspergillus niger Reijngoud J; Arentshorst M; Ruijmbeek C; Reid I; Alazi ED; Punt PJ; Tsang A; Ram AFJ; 33738610
CSFG
3 Functional Characterization of Clinical Isolates of the Opportunistic Fungal Pathogen Aspergillus nidulans. 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 M, Gabaldón T, McDonnell E, Reid I, Tsang A, Oakley BR, Loures FV, Almeida F, Huttenlocher A, Keller NP, Ries LNA, Goldman GH 32269156
CSFG
4 SnowyOwl: accurate prediction of fungal genes by using RNA-Seq and homology information to select among ab initio models. Reid I, O'Toole N, Zabaneh O, Nourzadeh R, Dahdouli M, Abdellateef M, Gordon PM, Soh J, Butler G, Sensen CW, Tsang A 24980894
CSFG
5 Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics. Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA 28417376
CSFG
6 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes. Reid I 29876820
CSFG

 

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
Publication:Methods in molecular biology (Clifton, N.J.)
Keywords:BioinformaticsCleaning short sequence readsGene predictionRNA-SeqTranscript prediction
PMID:29876820 Category:Methods Mol Biol Date Added:2019-06-07
Dept Affiliation: CSFG
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]





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