Integrative Meta-Assembly Pipeline (IMAP): Chromosome-level genome assembler combining multiple de novo assemblies

Giltae Song, Jongin Lee, Juyeon Kim, Seokwoo Kang, Hoyong Lee, Daehong Kwon, Daehwan Lee, Gregory I. Lang, J. Michael Cherry, Jaebum Kim, Maureen J. Donlin
2019 PLoS ONE  
Genomic data have become major resources to understand complex mechanisms at fine-scale temporal and spatial resolution in functional and evolutionary genetic studies, including human diseases, such as cancers. Recently, a large number of whole genomes of evolving populations of yeast (Saccharomyces cerevisiae W303 strain) were sequenced in a time-dependent manner to identify temporal evolutionary patterns. For this type of study, a chromosome-level sequence assembly of the strain or population
more » ... at time zero is required to compare with the genomes derived later. However, there is no fully automated computational approach in experimental evolution studies to establish the chromosome-level genome assembly using unique features of sequencing data.
doi:10.1371/journal.pone.0221858 pmid:31454399 pmcid:PMC6711525 fatcat:2psnxpb5bvb7jhxued5b5wk7qy