MultiQC: summarize analysis results for multiple tools and samples in a single report

被引：5007

作者：

Ewels, Philip ^{[1
]}

Magnusson, Mans ^{[2
]}

Lundin, Sverker ^{[3
]}

Kaller, Max ^{[3
]}

机构：

[1] Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, S-10691 Stockholm, Sweden

[2] Karolinska Inst, Ctr Mol Med, Dept Mol Med & Surg, Sci Life Lab, Stockholm, Sweden

[3] Royal Inst Technol, Sch Biotechnol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden

来源：

BIOINFORMATICS | 2016年 / 32卷 / 19期

关键词：

D O I：

10.1093/bioinformatics/btw354

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

Motivation: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis. Results: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified. MultiQC can plot data from many common bioinformatics tools and is built to allow easy extension and customization.

引用

页码：3047 / 3048

页数：2

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