DocumentCode :
258581
Title :
PoC-align: An open-source alignment accelerator using FPGAs
Author :
Preusser, Thomas B. ; Knodel, Oliver ; Spallek, Rainer G.
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
fYear :
2014
fDate :
8-10 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The mapping of reads, i.e. short DNA base pair strings, to large genome databases has become a critical operation for genetic analysis and diagnosis. The underlying alignment operation essentially is a string search tolerating some character mismatches and possibly character deletions or insertions with respect to a reference genome. Its output comprises the locations within the reference that are likely to correspond to the mapped DNA snippet. This paper describes PoC-Align, an alignment infrastructure using FPGA accelerators. It is an extension of our preceding FPGA aligner [1], which has been enhanced to tolerate alignment gaps (insertions and deletions) and to be more customizable though generic parameters. In addition to the descriptions of the implementation of these extensions, we also name the mainly software-carried enhancements, such as the support of mapping paired-end reads, that are implemented on top of the FPGA accelerator. Providing a thorough overview on the complete infrastructure, we aim at advertising the disclosure of the sources of our solution and hope to encourage other groups to use and extend this platform.
Keywords :
biocomputing; field programmable gate arrays; DNA base pair strings; FPGA accelerators; FPGA aligner; PoC-Align; character deletions; character insertions; genetic analysis; genetic diagnosis; genome databases; mapped DNA snippet; open-source alignment accelerator; paired-end reads mapping; reference genome; software-carried enhancements; string search; Bioinformatics; Databases; Field programmable gate arrays; Genomics; Hardware; Servers; Synchronization; FPGA; Sequence Alignment; Short-Read Mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ReConFigurable Computing and FPGAs (ReConFig), 2014 International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-5943-3
Type :
conf
DOI :
10.1109/ReConFig.2014.7032548
Filename :
7032548
Link To Document :
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