CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations

2017160 citationsJournal Articlegold Open Access

Authors

Xihong Wang · Northwest A&F University

Zhuqing Zheng · Northwest A&F University

Yudong Cai · Northwest A&F University

Ting Chen · Northwest A&F University

Chao Li · Northwest A&F University

Weiwei Fu · Northwest A&F University

Yu Jiang ·

Abstract

The fast generalized detection algorithms included in CNVcaller overcome prior computational barriers for detecting CNVs in large-scale sequencing data with complex genomic structures. Therefore, CNVcaller promotes population genetic analyses of functional CNVs in more species.

Topics & Keywords

Genomic variations and chromosomal abnormalities Chromosomal and Genetic Variations Molecular Biology Techniques and Applications

UN Sustainable Development Goals

Life in Land

Publication Details

Published in: GigaScience

Volume 6, Issue 12, pp. 1-12

DOI: 10.1093/gigascience/gix115

Field-Weighted Citation Impact: 12.54