Deep Mutational Scanning: Calculating Enrichment Scores for Protein Variants from DNA Sequencing Output Files
- Lea M. Starita1,4 and
- Stanley Fields1,2,3,4
- 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195;
- 2Department of Medicine, University of Washington, Seattle, Washington 98195;
- 3Howard Hughes Medical Institute, Seattle, Washington 98195
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.
Footnotes
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↵4 Correspondence: fields{at}uw.edu; lstarita{at}uw.edu
- © 2015 Cold Spring Harbor Laboratory Press










