DocumentCode
3121192
Title
Umap: Use Unique Sequence for Alignment of Short Sequence Reads and SNP Detection
Author
Lu, Zhi-Yuan ; Xie, Jian-Ming ; Sun, Xiao
Author_Institution
Sch. of Biol. Sci. & Med. Eng., Southeast Univ., Nanjing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Many high-throughput DNA sequencing methods provide very short reads, typically of a few tens of base pairs. New algorithms and softwares are needed to analysis those short reads effectively. There are some software tools for aligning short reads to a reference genome. Here we introduce a new method, Umap, to align theses short reads faster and more exact. Applying Umap to simulated very short reads generated by slicing human genome chromosome 22 into reads of length 20~100, one can identify 95% of the simulated reads´ relative position. When applying to real Illumine Sequence Analyzer data sets without read pairs, Umap identify 85% of the whole reads´ relative position to a Streptococcus suis genome. Umap presents a new approach to alignment short reads to reference genome quickly.
Keywords
DNA; biological techniques; biology computing; cellular biophysics; genomics; molecular biophysics; molecular configurations; SNP detection; Streptococcus suis genome; Umap; base pairs; high-throughput DNA sequencing methods; human genome chromosome slicing; sequence analyzer data sets; short sequence read alignment; software tools; unique sequence; Algorithm design and analysis; Bioinformatics; Biological information theory; Biology; DNA; Genomics; Indexing; Laboratories; Sequences; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5516449
Filename
5516449
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