What is FastQC?

What is FastQC?

FastQC Tutorial & FAQ. FastQC, written by Simon Andrews of Babraham Bioinformatics, is a very popular tool used to provide an overview of basic quality control metrics for raw next generation sequencing data. There are a number different analyses (called modules) that may be performed on a sequence data set.

What is the fastqcr R package?

Therefore, we developed the fastqcr R package, which contains helper functions to easily and automatically parse, aggregate and analyze FastQC reports for large numbers of samples. Additionally, the fastqcr package provides a convenient solution for building a multi-QC report and a one-sample FastQC report with the result interpretations.

How do I interpret the data in the FastQC report?

The other modules in the FastQC report can also help interpret the quality of the data. The “Per sequence quality scores” plot gives you the average quality score on the x-axis and the number of sequences with that average on the y-axis.

What’s new in FastQC 3-5-12?

3-5-12: Version 0.10.1 released Added a workround to allow the analysis of concatenated gzipped files Fixed a bug when FastQC was installed in a path containing characters needing to be escaped in a URL Added an option to specify the location of the java interpreter on the command line