title: Sequencing quality assessment tools to enable data-driven informatics for high throughput genomics.
abstract: The processes of quality assessment and control are an active area of research at The Genome Analysis Centre (TGAC). Unlike other sequencing centers that often concentrate on a certain species or technology, TGAC applies expertise in genomics and bioinformatics to a wide range of projects, often requiring bespoke wet lab and in silico workflows. TGAC is fortunate to have access to a diverse range of sequencing and analysis platforms, and we are at the forefront of investigations into library quality and sequence data assessment. We have developed and implemented a number of algorithms, tools, pipelines and packages to ascertain, store, and expose quality metrics across a number of next-generation sequencing platforms, allowing rapid and in-depth cross-platform Quality Control (QC) bioinformatics. In this review, we describe these tools as a vehicle for data-driven informatics, offering the potential to provide richer context for downstream analysis and to inform experimental design.
authors.affiliation: The Genome Analysis Centre Norwich, UK.
authors.forename: Richard M
authors.initials: RM
authors.lastname: Leggett
authors.affiliation: The Genome Analysis Centre Norwich, UK.
authors.forename: Ricardo H
authors.initials: RH
authors.lastname: Ramirez-Gonzalez
authors.affiliation: The Genome Analysis Centre Norwich, UK.
authors.forename: Bernardo J
authors.initials: BJ
authors.lastname: Clavijo
authors.affiliation: The Genome Analysis Centre Norwich, UK.
authors.forename: Darren
authors.initials: D
authors.lastname: Waite
authors.affiliation: The Genome Analysis Centre Norwich, UK.
authors.forename: Robert P
authors.initials: RP
authors.lastname: Davey
keywords: NGS data analysis; QC; bioinformatics tools; contamination screening; quality assessment and improvement; quality control; run statistics; sequence analysis