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

Journal Article · Fri Jun 09 00:00:00 EDT 2017 · Bioinformatics

DOI:https://doi.org/10.1093/bioinformatics/btx373· OSTI ID:1460473

Brown, Joseph; Pirrung, Meg; McCue, Lee Ann; Wren, ed., Jonathan

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.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE; PNNL Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC06-76RL01830
• OSTI ID: 1460473
• Alternate ID(s): OSTI ID: 1430724
• Report Number(s): PNNL-SA-124428
• Journal Information: Bioinformatics, Journal Name: Bioinformatics Vol. 33 Journal Issue: 19; ISSN 1367-4803
• Publisher: Oxford University Press
• Country of Publication: United Kingdom
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
59 BASIC BIOLOGICAL SCIENCES
data and text mining