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

Open access
Brown, Joseph, Pirrung, Meg, McCue, Lee Ann·2017·Bioinformatics

Abstract

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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Metadata

Authors
Brown, J., Pirrung, M., & McCue, L. A.
Venue
Bioinformatics
Published
2017-06-09
Volume
33
Issue
19
Pages
3137-3139
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2623802615
Cited by
1,097
References
0
FWCI
14.66
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. https://app.cochat.ai/papers/10.1093/bioinformatics/btx373
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Brown, J., Pirrung, M., & McCue, L. A. (2017). FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. Bioinformatics. https://doi.org/10.1093/bioinformatics/btx373

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.