[ 原始碼： arden ]
套件：arden（1.0-4）
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: python
- interactive high-level object-oriented language (Python2 version)
-
- dep: python-htseq
- Python high-throughput genome sequencing read analysis utilities
同時作為一個虛擬套件由這些套件填實： python3-htseq
-
- dep: python-matplotlib
- Python based plotting system in a style similar to Matlab
-
- dep: python-numpy
- Numerical Python adds a fast array facility to the Python language
-
- dep: python-scipy
- scientific tools for Python