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A Comprehensive Bioinformatics Approach to Analysis of Variants: Variant Calling, Annotation, and Prioritization

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dc.identifier.issn

1064-3745
1940-6029

dc.identifier.doi

10.1007/978-1-0716-4322-8_15

dc.identifier.other

dc.description.volume

2889

dc.description.issue

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HUMANA PRESS INC

DOI

10.1007/978-1-0716-4322-8_15
10.1007/978-1-0716-4322-8_15

Abstract

Next-Generation Sequencing (NGS), also known as high-throughput sequencing technologies, has enabled rapid and efficient sequencing of large amounts of DNA and RNA. These technologies have revolutionized the field of genomics, transcriptomics, and proteomics and have been widely used in cancer research, leading to advances in clinical diagnosis and treatment. Improvements in the NGS technologies enabled millions of fragments to be sequenced simultaneously in a time- and cost-effective manner and resulted in large amount of genomic data which require efficient analysis methods. Analysis of the genomic data requires both efficient computer resources and bioinformatics approaches. This chapter details a comprehensive computational approach and analysis steps for genomic data analysis.

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