articleBioinformaticsJun 16, 2016HYBRID OA

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

PEPhilip EwelsMMMåns MagnussonSLSverker LundinMKMax Käller

Stockholm University · Science for Life Laboratory · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

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…

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Topics & keywords

Topics
Keywords
  • Python (programming language)
  • Computer science
  • MIT License
  • Data mining
  • Documentation
  • Outlier
  • Software
  • Sample (material)
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