Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-29700-7_27
DC FieldValue
dc.titleFast relative Lempel-Ziv self-index for similar sequences
dc.contributor.authorDo, H.H.
dc.contributor.authorJansson, J.
dc.contributor.authorSadakane, K.
dc.contributor.authorSung, W.-K.
dc.date.accessioned2013-07-04T08:00:48Z
dc.date.available2013-07-04T08:00:48Z
dc.date.issued2012
dc.identifier.citationDo, H.H.,Jansson, J.,Sadakane, K.,Sung, W.-K. (2012). Fast relative Lempel-Ziv self-index for similar sequences. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7285 LNCS : 291-302. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-29700-7_27" target="_blank">https://doi.org/10.1007/978-3-642-29700-7_27</a>
dc.identifier.isbn9783642296994
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40284
dc.description.abstractRecent advances in biotechnology and web technology are generating huge collections of similar strings. People now face the problem of storing them compactly while supporting fast pattern searching. One compression scheme called relative Lempel-Ziv compression uses textual substitutions from a reference text as follows: Given a (large) set S of strings, represent each string in S as a concatenation of substrings from a reference string R. This basic scheme gives a good compression ratio when every string in S is similar to R, but does not provide any pattern searching functionality. Here, we describe a new data structure that supports fast pattern searching. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-29700-7_27
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-29700-7_27
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7285 LNCS
dc.description.page291-302
dc.identifier.isiutNOT_IN_WOS
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