ARDEN 1.0
:: DESCRIPTION
ARDEN (Artificial Reference Driven Estimation of false positives in NGS data) is a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- Python
- HTSeq
- matplotlib
:: DOWNLOAD
:: MORE INFORMATION
Citation
SH Giese, F Zickmann, BY Renard (2014).
Specificity Control for Read Alignments Using an Artificial Reference Genome Guided False Discovery Rate.
Bioinformatics, 2014, 30(1): 9-16 [10.1093/bioinformatics/btt255