| Literature DB >> 30401722 |
David E Cook1, Jose Espejo Valle-Inclan1, Alice Pajoro2, Hanna Rovenich1, Bart P H J Thomma1, Luigi Faino1.
Abstract
Single-molecule full-length complementary DNA (cDNA) sequencing can aid genome annotation by revealing transcript structure and alternative splice forms, yet current annotation pipelines do not incorporate such information. Here we present long-read annotation (LoReAn) software, an automated annotation pipeline utilizing short- and long-read cDNA sequencing, protein evidence, and ab initio prediction to generate accurate genome annotations. Based on annotations of two fungal genomes (Verticillium dahliae and Plicaturopsis crispa) and two plant genomes (Arabidopsis [Arabidopsis thaliana] and Oryza sativa), we show that LoReAn outperforms popular annotation pipelines by integrating single-molecule cDNA-sequencing data generated from either the Pacific Biosciences or MinION sequencing platforms, correctly predicting gene structure, and capturing genes missed by other annotation pipelines.Entities:
Mesh:
Year: 2018 PMID: 30401722 PMCID: PMC6324239 DOI: 10.1104/pp.18.00848
Source DB: PubMed Journal: Plant Physiol ISSN: 0032-0889 Impact factor: 8.340