计算机科学
范围(计算机科学)
相关性(法律)
推论
软件
代表(政治)
质量(理念)
情报检索
控制(管理)
数据科学
数据挖掘
航程(航空)
软件工程
人工智能
程序设计语言
哲学
复合材料
材料科学
法学
认识论
政治
政治学
作者
Omer Sabary,Yoav Orlev,Roy Shafir,Leon Anavy,Eitan Yaakobi,Zohar Yakhini
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2020-08-25
卷期号:37 (5): 720-722
被引量:24
标识
DOI:10.1093/bioinformatics/btaa740
摘要
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.
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