fgcQC-package: fgcQC: QC metric calculations for CRISPR screen data produced...
In alex-kalinka-cruk/fgcQC: QC metric calculations for CRISPR screen data produced at the FGC
Description
Implementations of QC metric calcluations pertaining to sequencing, laboratory, and analysis metrics; both standard and novel metrics are included.
Details
Provides QC metric calculation functions for FGC CRISPR pooled screen data. The main entry point is 'QC_fgc_crispr_data' and this function takes an analysis config JSON file, count data, bagel output, sequencing metrics (bcl2fastq), and a gRNA library file. QC data is produced for a single comparison in the analysis config.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
alex-kalinka-cruk/fgcQC documentation built on June 23, 2020, 9:05 p.m.
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Description
Implementations of QC metric calcluations pertaining to sequencing, laboratory, and analysis metrics; both standard and novel metrics are included.
Details
Provides QC metric calculation functions for FGC CRISPR pooled screen data. The main entry point is 'QC_fgc_crispr_data' and this function takes an analysis config JSON file, count data, bagel output, sequencing metrics (bcl2fastq), and a gRNA library file. QC data is produced for a single comparison in the analysis config.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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