@inproceedings{f98d35eeb4f24f5c801d997253e3d25d,
title = "PocaCNV: A Tool to Detect Copy Number Variants from Population-Scale Genome Sequencing Data",
abstract = "Among the procedures of modern genome analysis, the variation calling is a crucial part. Copy Number Variation(CNV) is an important variation type, many algorithms are developed to detect them. As the scale of samples in genome projects growing, it's wise to use data from multiple samples jointly to call variants. We present PocaCNV, a population caller of CNVs that can call CNVs from multiple samples of the same population. PocaCNV can produce many unique results with good precision and sensitivity, and can be a good supplement to other modern SV calling procedures. PocaCNV can be openly accessed from https://github.com/CoREse/PocaCNV.",
keywords = "NGS data, copy number variant, variant detection",
author = "Zhendong Zhang and Yongzhuang Liu and Gaoyang Li and Yadong Wang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; Conference date: 09-12-2021 Through 12-12-2021",
year = "2021",
doi = "10.1109/BIBM52615.2021.9669405",
language = "英语",
series = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1912--1918",
editor = "Yufei Huang and Lukasz Kurgan and Feng Luo and Hu, \{Xiaohua Tony\} and Yidong Chen and Edward Dougherty and Andrzej Kloczkowski and Yaohang Li",
booktitle = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
address = "美国",
}