DocumentCode :
1779947
Title :
Quadratic-backtracking algorithm for string reconstruction from substring compositions
Author :
Acharya, Jayadev ; Das, Hirakendu ; Milenkovic, Olgica ; Orlitsky, Alon ; Shengjun Pan
Author_Institution :
UCSD, La Jolla, CA, USA
fYear :
2014
fDate :
June 29 2014-July 4 2014
Firstpage :
1296
Lastpage :
1300
Abstract :
Motivated by the problem of deducing the structure of proteins using mass-spectrometry, we study the reconstruction of a string from the multiset of its substring compositions. We specialize the backtracking algorithm used for the more general turnpike problem for string reconstruction. Employing well known results about transience of random walks in ≥ 3 dimensions, we show that the algorithm reconstructs random strings over alphabet size ≥ 4 with high probability in near-optimal quadratic time.
Keywords :
mass spectroscopy; proteins; quadratic programming; set theory; quadratic backtracking algorithm; string reconstruction; substring compositions; turnpike problem; Approximation methods; Complexity theory; Information theory; Polynomials; Proteins; Reconstruction algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/ISIT.2014.6875042
Filename :
6875042
Link To Document :
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