RT Journal Article
SR Electronic
T1 Mapping-based genome size estimation
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 607390
DO 10.1101/607390
A1 Boas Pucker
YR 2019
UL http://biorxiv.org/content/early/2019/04/13/607390.abstract
AB While the size of chromosomes can be measured under a microscope, the size of genomes cannot be measured precisely. Biochemical methods and k-mer distribution-based approaches allow only estimations. An alternative approach to predict the genome size based on high contiguity assemblies and short read mappings is presented here and optimized on Arabidopsis thaliana and Beta vulgaris. Brachypodium distachyon, Solanum lycopersicum, Vitis vinifera, and Zea mays were also analyzed to demonstrate the broad applicability of this approach. Mapping-based Genome Size Estimation (MGSE) and additional scripts are available on github: https://github.com/bpucker/MGSE.