DNA Sequencing Data Analysis

Keyi Long; Lei Cai; Lin He

doi:10.1007/978-1-4939-7717-8_1

DNA Sequencing Data Analysis

Methods Mol Biol. 2018:1754:1-13. doi: 10.1007/978-1-4939-7717-8_1.

Authors

Keyi Long¹, Lei Cai¹, Lin He²

Affiliations

¹ Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Genetics and Development, Shanghai Jiao Tong University, Shanghai, 200240, China.
² Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Genetics and Development, Shanghai Jiao Tong University, Shanghai, 200240, China. helinhelin3@yeah.net.

PMID: 29536434
DOI: 10.1007/978-1-4939-7717-8_1

Abstract

Among various biological data, DNA sequence is doubtlessly a fundamental datum. By obtaining particular DNA sequence data and analyzing, biologists get to understand life science more precisely. This chapter is an overview of DNA sequencing technology and its data analysis methods, providing information about DNA sequencing, several different methods, and tools applied in data analysis. Both advantages and disadvantages are discussed.

Keywords: DNA sequence; DNA sequencing; Data analysis; Methods and tools; Sequence comparison.

MeSH terms

Algorithms
Base Sequence / genetics
Computational Biology / instrumentation
Computational Biology / methods*
Data Analysis*
High-Throughput Nucleotide Sequencing / instrumentation
High-Throughput Nucleotide Sequencing / methods*
Sequence Analysis, DNA / instrumentation
Sequence Analysis, DNA / methods*
Software