@inbook{a8fa41aa4a734cf185d0277f482fbace,

title = "Two algorithms for LCS consecutive suffix alignment",

abstract = "The problem of aligning two sequences A and B to determine their similarity is one of the fundamental problems in pattern matching. A challenging, basic variation of the sequence similarity problem is the incremental string comparison problem, denoted Consecutive Suffix Alignment, which is, given two strings A and B, to compute the alignment solution of each suffix of A versus B. Here, we present two solutions to the Consecutive Suffix Alignment Problem under the LCS metric. The first solution is an O(nL) time and space algorithm for constant alphabets, where n is the size of the compared strings and L < n denotes the size of the LCS of A and B. The second solution is an O(nL + n log |∑|) time and O(L) space algorithm for general alphabets, where S denotes the alphabet of the compared strings. (Note that \∑\ < n.)",

author = "Landau, {Gad M.} and Eugene Myers and Michal Ziv-Ukelson",

year = "2004",

doi = "10.1007/978-3-540-27801-6_13",

language = "English",

isbn = "354022341X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "173--193",

editor = "Sahinalp, {Suleyman Cenk} and S. Muthukrishnan and Ugur Dogrusoz",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}