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AlmostSignificant: simplifying quality control of high-throughput sequencing data

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 seque...

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Detalles Bibliográficos
Autores principales: Ward, Joseph, Cole, Christian, Febrer, Melanie, Barton, Geoffrey J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167069/
https://www.ncbi.nlm.nih.gov/pubmed/27559158
http://dx.doi.org/10.1093/bioinformatics/btw559
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author Ward, Joseph
Cole, Christian
Febrer, Melanie
Barton, Geoffrey J.
author_facet Ward, Joseph
Cole, Christian
Febrer, Melanie
Barton, Geoffrey J.
author_sort Ward, Joseph
collection PubMed
description 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 and Implementation: The code and documentation for AlmostSignificant is freely available at https://github.com/bartongroup/AlmostSignificant. Contacts: c.cole@dundee.ac.uk or g.j.barton@dundee.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-51670692016-12-20 AlmostSignificant: simplifying quality control of high-throughput sequencing data Ward, Joseph Cole, Christian Febrer, Melanie Barton, Geoffrey J. Bioinformatics Applications Notes 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 and Implementation: The code and documentation for AlmostSignificant is freely available at https://github.com/bartongroup/AlmostSignificant. Contacts: c.cole@dundee.ac.uk or g.j.barton@dundee.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-12-15 2016-08-24 /pmc/articles/PMC5167069/ /pubmed/27559158 http://dx.doi.org/10.1093/bioinformatics/btw559 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Ward, Joseph
Cole, Christian
Febrer, Melanie
Barton, Geoffrey J.
AlmostSignificant: simplifying quality control of high-throughput sequencing data
title AlmostSignificant: simplifying quality control of high-throughput sequencing data
title_full AlmostSignificant: simplifying quality control of high-throughput sequencing data
title_fullStr AlmostSignificant: simplifying quality control of high-throughput sequencing data
title_full_unstemmed AlmostSignificant: simplifying quality control of high-throughput sequencing data
title_short AlmostSignificant: simplifying quality control of high-throughput sequencing data
title_sort almostsignificant: simplifying quality control of high-throughput sequencing data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167069/
https://www.ncbi.nlm.nih.gov/pubmed/27559158
http://dx.doi.org/10.1093/bioinformatics/btw559
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