AUTHOR=Pirooznia Mehdi , Goes Fernando S. , Zandi Peter P. TITLE=Whole-genome CNV analysis: advances in computational approaches JOURNAL=Frontiers in Genetics VOLUME=6 YEAR=2015 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2015.00138 DOI=10.3389/fgene.2015.00138 ISSN=1664-8021 ABSTRACT=

Accumulating evidence indicates that DNA copy number variation (CNV) is likely to make a significant contribution to human diversity and also play an important role in disease susceptibility. Recent advances in genome sequencing technologies have enabled the characterization of a variety of genomic features, including CNVs. This has led to the development of several bioinformatics approaches to detect CNVs from next-generation sequencing data. Here, we review recent advances in CNV detection from whole genome sequencing. We discuss the informatics approaches and current computational tools that have been developed as well as their strengths and limitations. This review will assist researchers and analysts in choosing the most suitable tools for CNV analysis as well as provide suggestions for new directions in future development.