Weighted shortest common supersequence

Amihood Amir, Zvi Gotthilf, B. Riva Shalom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The Shortest Common Supersequence (SCS) is the problem of seeking a shortest possible sequence that contains each of the input sequences as a subsequence. In this paper we consider applying the problem to Position Weight Matrices (PWM). The Position Weight Matrix was introduced as a tool to handle a set of sequences that are not identical, yet, have many local similarities. Such a weighted sequence is a 'statistical image' of this set where we are given the probability of every symbol's occurrence at every text location. We consider two possible definitions of SCS on PWM. For the first, we give a polynomial time algorithm, having two input sequences. For the second, we prove NP-hardness.

Original languageEnglish
Title of host publicationString Processing and Information Retrieval - 18th International Symposium, SPIRE 2011, Proceedings
Pages44-54
Number of pages11
DOIs
StatePublished - 2011
Event18th International Symposium on String Processing and Information Retrieval, SPIRE 2011 - Pisa, Italy
Duration: 17 Oct 201121 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7024 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Symposium on String Processing and Information Retrieval, SPIRE 2011
Country/TerritoryItaly
CityPisa
Period17/10/1121/10/11

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