TY - JOUR AB - We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames. Gene model validation using SMRT reads is developed as automated process. Optimized training and prediction settings and mRNA-seq noise reduction of assisting Illumina reads results in increased gene prediction sensitivity and precision. Additionally, we present an improved gene set for sugar beet (Beta vulgaris) and the first genome-wide gene set for spinach (Spinacia oleracea). The workflow and guidelines are a valuable resource to obtain comprehensive gene sets for newly sequenced genomes of non-model eukaryotes. DA - 2015 DO - 10.1186/s13059-015-0729-7 LA - eng IS - 1 PY - 2015 SN - 1474-7596 T2 - Genome Biology TI - Exploiting single-molecule transcript sequencing for eukaryotic gene prediction UR - https://nbn-resolving.org/urn:nbn:de:0070-pub-27640637 Y2 - 2024-11-22T05:31:43 ER -