GENESPACE tracks regions of interest and gene copy number variation across multiple genomes.

ABSTRACT: The development of multiple chromosome-scale reference genome sequences in many taxonomic groups has yielded a high-resolution view of the patterns and processes of molecular evolution. Nonetheless, leveraging information across multiple genomes remains a significant challenge in nearly all eukaryotic systems. These challenges range from studying the evolution of chromosome structure, to finding candidate genes for quantitative trait loci, to testing hypotheses about speciation and adaptation. Here, we present GENESPACE, which addresses these challenges by integrating conserved gene order and orthology to define the expected physical position of all genes across multiple genomes. We demonstrate this utility by dissecting presence-absence, copy-number, and structural variation at three leve

SUBMITTER: Lovell JT 

PROVIDER: S-EPMC9462846 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature