ParaPindel A Parallel Detection Framework for Structural Variation
Introduction
ParaPindel, an optimized version of serial Pindel that utilizes distributed multi-process and shared multi-threading, for efficient large-scale detection of structural variation for human whole-genome sequencing data. ParaPindel divides the chromosome into multiple small windows with a fixed-length window size, so as to realize the parallel detection between different windows and different chromosomes. A cross-window with a smaller length is introduced to cope with possible structural variations at the edge of the window. The experimental results show that ParaPindel shortens the time to detect an individual's genome-wide structural variation from 186 hours to 33 minutes under the premise that the detection results are basically consistent. Employing 256 processes on 128 nodes on the TH-1HN supercomputer, the speedup ratio has reached 163 times, and the parallel efficiency has reached 69.74%.
Publications
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Credits
- Yaning Yang yangyn@hnu.edu.cn InvestigatorDeveloper
College of Computer Science and Electronic Engineering, Hunan University, China
- Shaoliang Peng slpeng@hnu.edu.cn InvestigatorDeveloper
College of Computer Science and Electronic Engineering, Hunan University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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Accession | BT007209 |
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Tool Type | Framework |
Category | Structural variant detection |
Platforms | Linux/Unix |
Technologies | C++ |
User Interface | Terminal Command Line |
Input Data | BAM, FASTA |
Download Count | 0 |
Country/Region | China |
Submitted By | Shaoliang Peng |
2018YFC0910400