Presentation 2013/6/20
Evaluation of Sparse k-mer graph algorithm and its implementation on Velvet
SHUNSUKE YOSHIKAWA, TAKASHI ISHIDA, MASAKAZU SEKIJIMA, YUTAKA AKIYAMA,
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Abstract(in English) Development of Next Generation Sequencing technologies has provided an unprecedented increase in DNA sequencing throuput while this technology produces shorter reads than previous technology. These two factors make a number of new short read de novo assemblers. In this report, by evaluation of Sparse Assembler, we clarified that this asssembler is useful at the point of memory usage and time, while producing less quality of contigs than other assemblers already developed. This study was made to assembly with less computer memory and in shorter time than previous study by implement Sparse k-mer graph algorithm on Velvet, which is the most widely used assembler.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Next Generartion Sequencing / de novo assembly / Velvet / Sparse Assembler
Paper # Vol.2013-BIO-34 No.1
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Sparse k-mer graph algorithm and its implementation on Velvet
Sub Title (in English)
Keyword(1) Next Generartion Sequencing
Keyword(2) de novo assembly
Keyword(3) Velvet
Keyword(4) Sparse Assembler
1st Author's Name SHUNSUKE YOSHIKAWA
1st Author's Affiliation Department of Computer Science, Graduate school of Information Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name TAKASHI ISHIDA
2nd Author's Affiliation Department of Computer Science, Graduate school of Information Science and Engineering, Tokyo Institute of Technology
3rd Author's Name MASAKAZU SEKIJIMA
3rd Author's Affiliation Department of Computer Science, Graduate school of Information Science and Engineering, Tokyo Institute of Technology:Global Scientific Information and Computing Center, Tokyo Institute of Technology
4th Author's Name YUTAKA AKIYAMA
4th Author's Affiliation Department of Computer Science, Graduate school of Information Science and Engineering, Tokyo Institute of Technology
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.1
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 7
Date of Issue