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.
CITATION STYLE
Reid, I. (2018). Evaluating programs for predicting genes and transcripts with RNA-Seq support in fungal genomes. In Methods in Molecular Biology (Vol. 1775, pp. 209–227). Humana Press Inc. https://doi.org/10.1007/978-1-4939-7804-5_17
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