Abstract:
:Rapidly evolving sequencing technologies produce data on an unparalleled scale. A central challenge to the analysis of this data is sequence alignment, whereby sequence reads must be compared to a reference. A wide variety of alignment algorithms and software have been subsequently developed over the past two years. In this article, we will systematically review the current development of these algorithms and introduce their practical applications on different types of experimental data. We come to the conclusion that short-read alignment is no longer the bottleneck of data analyses. We also consider future development of alignment algorithms with respect to emerging long sequence reads and the prospect of cloud computing.
journal_name
Brief Bioinformjournal_title
Briefings in bioinformaticsauthors
Li H,Homer Ndoi
10.1093/bib/bbq015subject
Has Abstractpub_date
2010-09-01 00:00:00pages
473-83issue
5eissn
1467-5463issn
1477-4054pii
bbq015journal_volume
11pub_type
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