GIP: an open-source computational pipeline for mapping genomic instability from protists to cancer cells.

ABSTRACT: Genome instability has been recognized as a key driver for microbial and cancer adaptation and thus plays a central role in many diseases. Genome instability encompasses different types of genomic alterations, yet most available genome analysis software are limited to just one type of mutation. To overcome this limitation and better understand the role of genetic changes in enhancing pathogenicity we established GIP, a novel, powerful bioinformatic pipeline for comparative genome analysis. Here, we show its application to whole genome sequencing datasets of Leishmania, Plasmodium, Candida and cancer. Applying GIP on available data sets validated our pipeline and demonstrated the power of our tool to drive biological discovery. Applied to Plasmodium vivax genomes, our pipeline uncovered the

SUBMITTER: Spath GF 

PROVIDER: S-EPMC8989552 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature