Peak Caller: A Peak Calling Algorithm for DNase-seq Data
| Main Author: | Hamdan A. Taleb |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2019
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/3243632 |
Daftar Isi:
- With the development of bioinformatics, the performance of Next Generation Sequencing (NGS) technology is also improving. Peak detection is always a very active field in NGS, because the success of data analysis largely depends on the accuracy of peak detection. based on the characteristics of existing peak detection technology, in this paper we developed a peak detection algorithm for DNase-seq data analysis. The process of PeakCaller algorithm mainly includes the following three stages: 1) data preprocessing; 2) data analysis, which is specifically divided into a) detecting the genomic location of dnase-seq data, b) using gaussian convolution to trim configuration data, c) determining candidate peaks, and d) determining DHSS peaks; 3) algorithm performance evaluation. PeakCaller algorithm is a peak detection algorithm for DNase-seq data. PeakCaller is written in Python3. the algorithm is open source and available at: https://sourceforge.net/projects/peakcaller1/