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