Sort-seq under the hood: implications of design choices on large-scale characterization of sequence-function relations.

ABSTRACT:

Background

Sort-seq is an effective approach for simultaneous activity measurements in a large-scale library, combining flow cytometry, deep sequencing, and statistical inference. Such assays enable the characterization of functional landscapes at unprecedented scale for a wide-reaching array of biological molecules and functionalities in vivo. Applications of sort-seq range from footprinting to establishing quantitative models of biological systems and rational design of synthetic genetic elements. Nearly as diverse are implementations of this technique, reflecting key design choices with extensive impact on the scope and accuracy the results. Yet how to make these choices remains unclear. Here we investigate the effects of alternative sort-seq designs and inference methods on the

SUBMITTER: Peterman N 

PROVIDER: S-EPMC4784318 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature