| Literature DB >> 33420778 |
Kerstin Howe1, William Chow1, Joanna Collins1, Sarah Pelan1, Damon-Lee Pointon1, Ying Sims1, James Torrance1, Alan Tracey1, Jonathan Wood1.
Abstract
Genome sequence assemblies provide the basis for our understanding of biology. Generating error-free assemblies is therefore the ultimate, but sadly still unachieved goal of a multitude of research projects. Despite the ever-advancing improvements in data generation, assembly algorithms and pipelines, no automated approach has so far reliably generated near error-free genome assemblies for eukaryotes. Whilst working towards improved datasets and fully automated pipelines, assembly evaluation and curation is actively used to bridge this shortcoming and significantly reduce the number of assembly errors. In addition to this increase in product value, the insights gained from assembly curation are fed back into the automated assembly strategy and contribute to notable improvements in genome assembly quality. We describe our tried and tested approach for assembly curation using gEVAL, the genome evaluation browser. We outline the procedures applied to genome curation using gEVAL and also our recommendations for assembly curation in a gEVAL-independent context to facilitate the uptake of genome curation in the wider community.Entities:
Keywords: assembly; curation; gEVAL; genome
Year: 2021 PMID: 33420778 DOI: 10.1093/gigascience/giaa153
Source DB: PubMed Journal: Gigascience ISSN: 2047-217X Impact factor: 6.524