Ontology highlight
ABSTRACT:
SUBMITTER: Hoskins I
PROVIDER: S-EPMC10116734 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
Hoskins Ian I Sun Song S Cote Atina A Roth Frederick P FP Cenik Can C
Genome biology 20230420 1
The impact of millions of individual genetic variants on molecular phenotypes in coding sequences remains unknown. Multiplexed assays of variant effect (MAVEs) are scalable methods to annotate relevant variants, but existing software lacks standardization, requires cumbersome configuration, and does not scale to large targets. We present satmut_utils as a flexible solution for simulation and variant quantification. We then benchmark MAVE software using simulated and real MAVE data. We finally de ...[more]