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Falco: high-speed FastQC emulation for quality control of sequencing data

Quality control is an essential first step in sequencing data analysis, and software tools for quality control are deeply entrenched in standard pipelines at most sequencing centers. Although the associated computations are straightforward, in many settings the total computing effort required for qu...

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Detalles Bibliográficos
Autores principales: de Sena Brandine, Guilherme, Smith, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845152/
https://www.ncbi.nlm.nih.gov/pubmed/33552473
http://dx.doi.org/10.12688/f1000research.21142.2
Descripción
Sumario:Quality control is an essential first step in sequencing data analysis, and software tools for quality control are deeply entrenched in standard pipelines at most sequencing centers. Although the associated computations are straightforward, in many settings the total computing effort required for quality control is appreciable and warrants optimization. We present Falco, an emulation of the popular FastQC tool that runs on average three times faster while generating equivalent results. Compared to FastQC, Falco also requires less memory to run and provides more flexible visualization of HTML reports.