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MultiQC: summarize analysis results for multiple tools and samples in a single report
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
Number of Authors: 4
2016 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 32, no 19, 3047-3048 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 32, no 19, 3047-3048 p.
National Category
Biological Sciences Environmental Biotechnology Computer and Information Science Mathematics
Identifiers
URN: urn:nbn:se:su:diva-137526DOI: 10.1093/bioinformatics/btw354ISI: 000386020100028PubMedID: 27312411OAI: oai:DiVA.org:su-137526DiVA: diva2:1066223
Available from: 2017-01-17 Created: 2017-01-09 Last updated: 2017-01-17Bibliographically approved

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