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- Title
SOLQC: Synthetic Oligo Library Quality Control tool.
- Authors
Sabary, Omer; Orlev, Yoav; Shafir, Roy; Anavy, Leon; Yaakobi, Eitan; Yakhini, Zohar
- Abstract
Motivation Recent years have seen a growing number and an expanding scope of studies using synthetic oligo libraries for a range of applications in synthetic biology. As experiments are growing by numbers and complexity, analysis tools can facilitate quality control and support better assessment and inference. Results We present a novel analysis tool, called SOLQC , which enables fast and comprehensive analysis of synthetic oligo libraries, based on NGS analysis performed by the user. SOLQC provides statistical information such as the distribution of variant representation, different error rates and their dependence on sequence or library properties. SOLQC produces graphical reports from the analysis, in a flexible format. We demonstrate SOLQC by analyzing literature libraries. We also discuss the potential benefits and relevance of the different components of the analysis. Availability and implementation SOLQC is a free software for non-commercial use, available at https://app.gitbook.com/ @yoav-orlev/s/solqc/. For commercial use please contact the authors. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects
STATISTICS; DISTRIBUTION (Probability theory); FREEWARE (Computer software); ERROR rates; SYNTHETIC biology; QUALITY control
- Publication
Bioinformatics, 2021, Vol 37, Issue 5, p720
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btaa740