ngsReports: a Bioconductor package for managing FastQC reports and other NGS related log files | Zendy

Christopher M. Ward | Zendy; ThuHien To | Zendy; Stephen Pederson | Zendy

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ngsReports: a Bioconductor package for managing FastQC reports and other NGS related log files

Author(s) -

Christopher M. Ward,

ThuHien To,

Stephen Pederson

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz937

Subject(s) - bioconductor , computer science , visualization , r package , data mining , cluster analysis , sample (material) , identification (biology) , outlier , throughput , hierarchical clustering , operating system , programming language , artificial intelligence , biology , biochemistry , chemistry , botany , chromatography , gene , wireless

High throughput next generation sequencing (NGS) has become exceedingly cheap, facilitating studies to be undertaken containing large sample numbers. Quality control (QC) is an essential stage during analytic pipelines and the outputs of popular bioinformatics tools such as FastQC and Picard can provide information on individual samples. Although these tools provide considerable power when carrying out QC, large sample numbers can make inspection of all samples and identification of systemic bias a challenge.

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