A New Algorithm for Fused Blocked Pattern Matching-Reference-Cited by-同舟云学术

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A New Algorithm for Fused Blocked Pattern Matching

Published:2013 Issue:4 Volume:E96.A Page:830-832
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

ZHAO Hua¹,LU Songfeng¹,LIU Yan²

Affiliation:

1. School of Computer Science, Huazhong University of Science and Technology

2. Huawei Technologies Co. Ltd.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E96.A/4/E96.A_830/_pdf

Reference4 articles.

1. [1] J. Ng, A. Amir, and P.A. Pevzner, “Blocked pattern matching problem and its applications in proteomics,” Proc. RECOMB 2011, pp.298-319, 2011.

2. [2] K.S.J. Elenitoba-Johnson, D.K. Crockett, J.A. Schumacher, S.D. Jenson, C.M. Coffin, A.L. Rockwood, and M.S. Lim, “Proteomic identification of oncogenic chromosomal translocation partners encoding chimeric anaplastic lymphoma kinase fusion proteins,” Proc. National Academy of Sciences vol.103, no.19, pp.7402-7407, 2006.

3. [3] S. Tanner, H. Shu, A. Frank, L.C. Wang, E. Zandi, M. Mumby, P.A. Pevzner, and V. Bafna, “Inspect: Identification of posttranslationally modified peptides from tandem mass spectra,” Analytical Chemistry, vol.77, no.14, pp.4626-4639, 2005.

4. [4] J. Ng and P.A. Pevzner, “Algorithm for identification of fusion proteins via mass spectrometry,” J. Proteome Research, vol.7, no.1, pp.89-95, 2008.

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