AlmostSignificant: simplifying quality control of high-throughput sequencing data

Joseph Ward, Christian Cole (Lead / Corresponding author), Melanie Febrer, Geoffrey J. Barton (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
97 Downloads (Pure)

Abstract

Motivation: The current generation of DNA sequencing technologies produce a large amount of data quickly. All of these data need to pass some form of quality control (QC) processing and checking before they can be used for any analysis. The large number of samples that are run through Illumina sequencing machines makes the process of QC an onerous and time-consuming task that requires multiple pieces of information from several sources.

Results: AlmostSignificant is an open-source platform for aggregating multiple sources of quality metrics as well as run and sample meta-data associated with DNA sequencing runs from Illumina sequencing machines. AlmostSignificant is a graphical platform to streamline the QC of DNA sequencing data, to store these data for future reference together with extra meta-data associated with the sequencing runs not typically retained. This simplifies the challenge of monitoring the volume of data produced by Illumina sequencers. AlmostSignificant has been used to track the quality of over 80 sequencing runs covering over 2500 samples produced over the last three years.

Availability: The code and documentation for AlmostSignificant is freely available at https://github.com/bartongroup/AlmostSignificant CONTACT: c.cole@dundee.ac.uk, g.j.barton@dundee.ac.uk.

Original languageEnglish
Pages (from-to)3850-3851
Number of pages2
JournalBioinformatics
Volume32
Issue number24
Early online date24 Aug 2016
DOIs
Publication statusPublished - 15 Dec 2016

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