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satmut_utils: a simulation and variant calling package for multiplexed assays of variant effect.

Ian HoskinsSong SunAtina CoteFrederick P RothCan Cenik
Published in: Genome biology (2023)
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 determine mRNA abundance for thousands of cystathionine beta-synthase variants using two experimental methods. The satmut_utils package enables high-performance analysis of MAVEs and reveals the capability of variants to alter mRNA abundance.
Keyphrases
  • copy number
  • single cell
  • high throughput
  • data analysis
  • antibiotic resistance genes
  • electronic health record
  • microbial community
  • binding protein
  • dna methylation
  • solid state