ExonCNV This tool uses a more sensitive copy number variation detection algorithm, and develops a complete set of interactive systems in combination with visualization methods.

Introduction

Copy number variation is one of the common forms of variation in genomic structural variation, and is closely related to the occurrence and development of many diseases including cancer. With the rapid development of high-throughput sequencing technology, the mainstream of copy number variation detection is based on sequencing data. At present, the copy number variation detection algorithm based on exon sequencing data improves the accuracy of detection while reducing costs. However, due to insufficient consideration of the influence of noise, the sensitivity needs to be further improved.

This tool uses a more sensitive copy number variation detection algorithm, and develops a complete set of interactive systems in combination with visualization methods. If you want to know more detail about ExonCNV, please see the ExonCNV page.

Publications

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Credits

  1. Liang Hao 1461779085@qq.com
    Developer

    Faculty of Electronic Information Engineering, Xian Jiaotong University, China

  2. KAI YE kaiye@xjtu.edu.cn
    Investigator

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  3. Xiaofei Yang xfyang@xjtu.edu.cn

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  4. Li Guo li_guo@xjtu.edu.cn

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  5. PENG JIA pengjia@stu.xjtu.edu.cn

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

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Summary
AccessionBT007257
Tool TypeApplication
CategoryCNV detection
PlatformsLinux/Unix
TechnologiesPython3
User InterfaceTerminal Command Line
Input DataBAM
Latest Release1.0.0 (September 10, 2021)
Download Count500
Country/RegionChina
Submitted ByLiang Hao
Fundings

2018YFC0910400