Jun 182014
 

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

Bernhard Y. Renard

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
  • HTSeq
  • matplotlib

:: DOWNLOAD

 ARDEN 

:: 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

17 views

Sorry, the comment form is closed at this time.