Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

O(N log N) algorithm for finding primary tandem repeats in a DNA genomic sequence

Full metadata record
DC Field Value Language
dc.contributor.authorSangback Ma-
dc.contributor.authorHyeong-hwa Jun-
dc.date.accessioned2021-06-24T00:05:15Z-
dc.date.available2021-06-24T00:05:15Z-
dc.date.created2021-02-01-
dc.date.issued2005-06-
dc.identifier.issn1226-9433-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46343-
dc.description.abstractThe genomes of organism are being published in an enormous speed. The genomes has a lot of intronic regions, and repeats constitute a substantial part of that. Repeats play a crucial role in DNA ?nger-printing, and detecting certain genomic diseases, such as Huntington disease, which has a high number of CAG repeats. Also, they throw important clues about the evolutionary history. Repeats are in two types, Tandem Repeats and Interspersed Repeats. In this paper we address ourselves to the problem of detecting Primary Tandem Repeats, which are tandem repeats that are not contained in any tandem repeats. We show that our algorithm takes O(n log n) time, where n is the length of genome.-
dc.language영어-
dc.language.isoen-
dc.publisher한국산업응용수학회-
dc.titleO(N log N) algorithm for finding primary tandem repeats in a DNA genomic sequence-
dc.typeArticle-
dc.contributor.affiliatedAuthorSangback Ma-
dc.identifier.bibliographicCitationJournal of the Korean Society for Industrial and Applied Mathematics, v.9, no.1, pp.1 - 7-
dc.relation.isPartOfJournal of the Korean Society for Industrial and Applied Mathematics-
dc.citation.titleJournal of the Korean Society for Industrial and Applied Mathematics-
dc.citation.volume9-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage7-
dc.type.rimsART-
dc.identifier.kciidART000963255-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00991143-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE