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

Methods Mol Biol. 2025:2889:207-233. doi: 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.

Keywords: Annotation; Bioinformatics; Germline variant calling; Next Generation Sequencing (NGS); Somatic variant calling.

MeSH terms

  • Computational Biology* / methods
  • Genetic Variation
  • Genomics* / methods
  • High-Throughput Nucleotide Sequencing* / methods
  • Humans
  • Molecular Sequence Annotation* / methods
  • Software*