title: Deep Mutational Scanning: Calculating Enrichment Scores for Protein Variants from DNA Sequencing Output Files.
abstract: During a deep mutational scanning experiment, a collection of variants of a given protein is subjected to high-throughput sequencing before and after selection. The variants that perform well during selection will increase in abundance, whereas those that perform poorly will decrease. Generating a sequence-function map of a protein from a deep mutational scan requires the calculation and comparison of the enrichment scores for each protein variant, based on the results of high-throughput DNA sequencing output files. Here we describe the use of the software program Enrich, which was written specifically for the data analysis phase of a deep mutational scanning experiment.
authors.affiliation: Department of Genome Sciences, University of Washington, Seattle, Washington 98195;
authors.forename: Lea M
authors.initials: LM
authors.lastname: Starita
authors.affiliation: Department of Genome Sciences, University of Washington, Seattle, Washington 98195; Department of Medicine, University of Washington, Seattle, Washington 98195; Howard Hughes Medical Institute, Seattle, Washington 98195.
authors.forename: Stanley
authors.initials: S
authors.lastname: Fields
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004252:DNA Mutational Analysis / Q000379:methods*; D005820:Genetic Testing / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D057166:High-Throughput Screening Assays / Q000379:methods*; D008967:Molecular Biology / Q000379:methods*; D012984:Software