Structural variation is an important class of genetic variation in mammals. High-throughput
sequencing (HTS) technologies promise to revolutionize copy-number variation (CNV) …

Copy‐number variation (CNV) is a major class of genomic variation with potentially
important functional consequences in both normal and diseased populations. Remarkable …

The development of high-throughput sequencing (HTS) technologies has opened the door
to novel methods for detecting copy number variants (CNVs) in the human genome. While in …

Motivation: Analysing next-generation sequencing (NGS) data for copy number variations
(CNVs) detection is a relatively new and challenging field, with no accepted standard …

Recent advances in sequencing technologies provide the means for identifying copy
number variation (CNV) at an unprecedented resolution. A single next-generation …

Copy number variations (CNVs) are widely known to be an important mediator for diseases
and traits. The development of high-throughput sequencing (HTS) technologies has …

Background As next-generation sequencing technology made rapid and cost-effective
sequencing available, the importance of computational approaches in finding and analyzing …

Background Copy number variation (CNV) is an important structural variation (SV) in human
genome. Various studies have shown that CNVs are associated with complex diseases …

Copy number variation (CNV) is a class of key biomarkers in many complex traits and
diseases. Detecting CNV from sequencing data is a substantial bioinformatics problem and …

Copy number variations (CNVs) are genomic structural mutations consisting of abnormal
numbers of fragment copies. Next-generation sequencing of read-depth signals mirrors …