Authors
Peter A Larsen, R Alan Harris, Yue Liu, Shwetha C Murali, C Ryan Campbell, Adam D Brown, Beth A Sullivan, Jennifer Shelton, Susan J Brown, Muthuswamy Raveendran, Olga Dudchenko, Ido Machol, Neva C Durand, Muhammad S Shamim, Erez Lieberman Aiden, Donna M Muzny, Richard A Gibbs, Anne D Yoder, Jeffrey Rogers, Kim C Worley
Publication date
2017/12
Journal
BMC biology
Volume
15
Pages
1-17
Publisher
BioMed Central
Description
Background
The de novo assembly of repeat-rich mammalian genomes using only high-throughput short read sequencing data typically results in highly fragmented genome assemblies that limit downstream applications. Here, we present an iterative approach to hybrid de novo genome assembly that incorporates datasets stemming from multiple genomic technologies and methods. We used this approach to improve the gray mouse lemur (Microcebus murinus) genome from early draft status to a near chromosome-scale assembly.
Methods
We used a combination of advanced genomic technologies to iteratively resolve conflicts and super-scaffold the M. murinus genome.
Results
We improved the M. murinus genome assembly to a scaffold N50 of 93.32 Mb. Whole genome alignments between our primary super …
Scholar articles
PA Larsen, RA Harris, Y Liu, SC Murali, CR Campbell… - BMC biology, 2017