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Volumn 96, Issue 6, 2005, Pages 197-201

Optimal algorithms for locating the longest and shortest segments satisfying a sum or an average constraint

Author keywords

Algorithms; Longest segment; Sequence analysis; Shortest segment

Indexed keywords

CONSTRAINT THEORY; LINEAR SYSTEMS; ONLINE SYSTEMS; PROBLEM SOLVING;

EID: 27644536221     PISSN: 00200190     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipl.2005.08.006     Document Type: Article
Times cited : (16)

References (11)
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    • An optimal algorithm for the maximum-density segment problem
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    • Chung, K.1    Lu, H.-I.2
  • 5
    • 35248869778 scopus 로고    scopus 로고
    • An optimal algorithm for maximum-sum segment and its application in bioinformatics
    • CIAA. Springer Berlin
    • T.-H. Fan, S. Lee, H.-I. Lu, T.-S. Tsou, T.-C. Wang, and A. Yao An optimal algorithm for maximum-sum segment and its application in bioinformatics CIAA Lecture Notes in Comput. Sci. vol. 2759 2003 Springer Berlin 251 257
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    • Fan, T.-H.1    Lee, S.2    Lu, H.-I.3    Tsou, T.-S.4    Wang, T.-C.5    Yao, A.6
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    • Linear-time algorithms for computing maximum-density sequence segments with bioinformatics applications
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  • 7
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    • An algorithm for identifying regions of a DNA sequence that satisfy a content requirement
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    • MAVG: Locating non-overlapping maximum average segments in a given sequence
    • Y.-L. Lin, X. Huang, T. Jiang, and K.-M. Chao MAVG: Locating non-overlapping maximum average segments in a given sequence Bioinformatics 19 2003 151 152
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    • Efficient algorithms for locating the length-constrained heaviest segments with applications to biomolecular sequence analysis
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    • SEGID: Identifying interesting segments in (multiple) sequence alignments
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.