[ 原始碼： arden ]
套件：arden（1.0-5）
specificity control for read alignments using an artificial reference
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. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.
其他與 arden 有關的套件
|
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: python3-htseq
- Python3 high-throughput genome sequencing read analysis utilities
-
- dep: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
-
- dep: python3-numpy
- Fast array facility to the Python 3 language
-
- dep: python3-scipy
- scientific tools for Python 3