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

Philip Ewels | Zendy; Måns Magnusson | Zendy; Sverker Lundin | Zendy; Max Käller | Zendy

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

Author(s) -

Philip Ewels,

Måns Magnusson,

Sverker Lundin,

Max Käller

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw354

Subject(s) - python (programming language) , computer science , mit license , data mining , documentation , outlier , software , sample (material) , personalization , programming language , artificial intelligence , world wide web , chemistry , chromatography

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.

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