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FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

SUMMARY: FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for n...

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Detalles Bibliográficos
Autores principales: Brown, Joseph, Pirrung, Meg, McCue, Lee Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870778/
https://www.ncbi.nlm.nih.gov/pubmed/28605449
http://dx.doi.org/10.1093/bioinformatics/btx373
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author Brown, Joseph
Pirrung, Meg
McCue, Lee Ann
author_facet Brown, Joseph
Pirrung, Meg
McCue, Lee Ann
author_sort Brown, Joseph
collection PubMed
description SUMMARY: FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data. AVAILABILITY AND IMPLEMENTATION: FQC is implemented in Python 3 and Javascript, and is maintained under an MIT license. Documentation and source code is available at: https://github.com/pnnl/fqc.
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spelling pubmed-58707782018-03-29 FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool Brown, Joseph Pirrung, Meg McCue, Lee Ann Bioinformatics Applications Notes SUMMARY: FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data. AVAILABILITY AND IMPLEMENTATION: FQC is implemented in Python 3 and Javascript, and is maintained under an MIT license. Documentation and source code is available at: https://github.com/pnnl/fqc. Oxford University Press 2017-10-01 2017-06-09 /pmc/articles/PMC5870778/ /pubmed/28605449 http://dx.doi.org/10.1093/bioinformatics/btx373 Text en © The Author 2017. 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
Brown, Joseph
Pirrung, Meg
McCue, Lee Ann
FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title_full FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title_fullStr FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title_full_unstemmed FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title_short FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool
title_sort fqc dashboard: integrates fastqc results into a web-based, interactive, and extensible fastq quality control tool
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870778/
https://www.ncbi.nlm.nih.gov/pubmed/28605449
http://dx.doi.org/10.1093/bioinformatics/btx373
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