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- basic FastQC report
- report on BWA mem alignments of the datasets to hsMVK amplicon and plasmid backbone contigs
- http://web.corral.tacc.utexas.edu/iyer/mvk/mvk_mqc_report.bwa.html
- standard reports from samtools flagstat, samtools idxstats, Picard MarkDuplicates
- custom data reports from bedtools genomecov and from insert size distribution data Anna computed
- report using custom data from a specialized deep mutational screening tool from the Jesse Bloom lab
- http://web.corral.tacc.utexas.edu/iyer/mvk/mvk_mqc_report.jbloom.html
- this tool looks only at the overlapping portions of paired-end R1 and R2 reads
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Code Workshop
Produce a consolidated FastQC report
The FastQC took is great for producing detailed reports for every individual fastq file. For example, for Igor's 2 PE datasets, 4 reports are produced from running fastqc (http://web.corral.tacc.utexas.edu/iyer/igor/fastqc/).
The shortcoming is that you have to browse through all the individual reports one at a time, which can be tedious for large experiments.
This is where MultiQC's power comes in. You can point MultiQC to a directory where FastQC has been run and it will magically produce a consolidated report.