A Comprehensive Bioinformatics Approach to Analysis of Variants: Variant Calling, Annotation, and Prioritization
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Date
Authors
Journal Title
Journal ISSN
Volume Title
dc.identifier.issn
1064-3745
1940-6029
1940-6029
dc.identifier.doi
10.1007/978-1-0716-4322-8_15
dc.identifier.other
dc.description.volume
2889
dc.description.issue
Publisher
HUMANA PRESS INC
DOI
10.1007/978-1-0716-4322-8_15
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.
Description
Keywords
Next Generation Sequencing (NGS) , Bioinformatics , Germline variant calling , Somatic variant calling , Annotation , SOMATIC POINT MUTATIONS , WHOLE-GENOME , SEQUENCE VARIANTS , DATABASE , ASSOCIATION , CANCER , GUIDELINES , DISCOVERY , FRAMEWORK , FORMAT , Biochemical Research Methods , Biochemistry & Molecular Biology , Genetics & Heredity
