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PMID: 22407708 Published · ppublish English Journal Article Review

Next-generation sequencing technologies and fragment assembly algorithms.

Methods in molecular biology (Clifton, N.J.) ·Vol. 855 ·2012-00-00 ·Pages 155-74

Lee H, Tang H

Abstract

As a classic topic in bioinformatics, the fragment assembly problem has been studied for over two decades. Fragment assembly algorithms take a set of DNA fragments as input, piece them together into a set of aligned overlapping fragments (i.e., contigs), and output a consensus sequence for each of the contigs. The rapid advance of massively parallel sequencing, often referred to as next-generation sequencing (NGS) technologies, has revolutionized DNA sequencing by reducing both its time and cost by several orders of magnitude in the past few years, but posed new challenges for fragment assembly. As a result, many new approaches have been developed to assemble NGS sequences, which are typically shorter with a higher error rate, but at a much higher throughput, than classic methods provided. In this chapter, we review both classic and new algorithms for fragment assembly, with a focus on NGS sequences. We also discuss a few new assembly problems emerging from the broader applications of NGS techniques, which are distinct from the classic fragment assembly problem.

MeSH Terms
Algorithms Animals Computational Biology/methods High-Throughput Nucleotide Sequencing/methods Humans Sequence Analysis, DNA/methods
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Lee Heewook
School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Tang Haixu
Article Info
Journal
Methods in molecular biology (Clifton, N.J.)
Abbr.
Methods Mol Biol
ISSN
1940-6029
Published
2012-00-00
Pages
155-74
Language
English
Region
United States
NLM ID
9214969
Subset
IM
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