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A natural number based linear time filtering approach to finding all occurrences of a DNA pattern
String matching and searching techniques have been extensively studied in different research works [[1], [4], [5]]. They currently play an essential part in the field of computational biology. Most of those techniques, from classics to their improved versions could successfully accomplish the task i...
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creator | Le, Vu Quang |
description | String matching and searching techniques have been extensively studied in different research works [[1], [4], [5]]. They currently play an essential part in the field of computational biology. Most of those techniques, from classics to their improved versions could successfully accomplish the task in linear time. In this paper, I propose a new searching approach based on the delivery of distinct natural numbers over a transition matrix of four nucleotides to find all occurrences of a DNA pattern in a given string. My algorithm has only Θ( - 1) time complexity for the worst case with n to be the length of a given string s for a DNA pattern p of length m to be searched on. |
doi_str_mv | 10.1109/ICISIP.2006.4286078 |
format | conference_proceeding |
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They currently play an essential part in the field of computational biology. Most of those techniques, from classics to their improved versions could successfully accomplish the task in linear time. In this paper, I propose a new searching approach based on the delivery of distinct natural numbers over a transition matrix of four nucleotides to find all occurrences of a DNA pattern in a given string. My algorithm has only Θ( - 1) time complexity for the worst case with n to be the length of a given string s for a DNA pattern p of length m to be searched on.</description><identifier>ISBN: 9781424406111</identifier><identifier>ISBN: 1424406110</identifier><identifier>EISBN: 1424406129</identifier><identifier>EISBN: 9781424406128</identifier><identifier>DOI: 10.1109/ICISIP.2006.4286078</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer science ; DNA ; Filtering ; Frequency ; Genetics ; Matched filters ; Nonlinear filters ; Pattern matching ; Sequences ; Table lookup</subject><ispartof>2006 Fourth International Conference on Intelligent Sensing and Information Processing, 2006, p.134-137</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4286078$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4286078$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Le, Vu Quang</creatorcontrib><title>A natural number based linear time filtering approach to finding all occurrences of a DNA pattern</title><title>2006 Fourth International Conference on Intelligent Sensing and Information Processing</title><addtitle>ICISIP</addtitle><description>String matching and searching techniques have been extensively studied in different research works [[1], [4], [5]]. They currently play an essential part in the field of computational biology. Most of those techniques, from classics to their improved versions could successfully accomplish the task in linear time. In this paper, I propose a new searching approach based on the delivery of distinct natural numbers over a transition matrix of four nucleotides to find all occurrences of a DNA pattern in a given string. My algorithm has only Θ( - 1) time complexity for the worst case with n to be the length of a given string s for a DNA pattern p of length m to be searched on.</description><subject>Computer science</subject><subject>DNA</subject><subject>Filtering</subject><subject>Frequency</subject><subject>Genetics</subject><subject>Matched filters</subject><subject>Nonlinear filters</subject><subject>Pattern matching</subject><subject>Sequences</subject><subject>Table lookup</subject><isbn>9781424406111</isbn><isbn>1424406110</isbn><isbn>1424406129</isbn><isbn>9781424406128</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1UMtOwzAQNEJIQOkX9OIfaNm1nYePUXg0UgVIwLnaxBswSp3ISQ_8PRGUucxDmjmMECuEDSLY26qsXquXjQJIN0blKWT5mbhGo4yBFJU9F0ub5f8e8VIsx_ELZmibGKWuBBUy0HSM1MlwPNQcZU0jO9n5wBTl5A8sW99NHH34kDQMsafmU079nAb3m3Wd7JvmGCOHhkfZt5Lk3VMhB5rmWrgRFy11Iy9PvBDvD_dv5Xa9e36symK39pgl09qAbR1qgzoDbjJ2CtmkddvqOsdsljknMylltNMWTQLkAGplAVxKDeuFWP3tembeD9EfKH7vT6_oH-0xVfw</recordid><startdate>200612</startdate><enddate>200612</enddate><creator>Le, Vu Quang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200612</creationdate><title>A natural number based linear time filtering approach to finding all occurrences of a DNA pattern</title><author>Le, Vu Quang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-409fd1341370ec7ed21e46bff3b817e468e57e42243d391450ad00b2900d6ace3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Computer science</topic><topic>DNA</topic><topic>Filtering</topic><topic>Frequency</topic><topic>Genetics</topic><topic>Matched filters</topic><topic>Nonlinear filters</topic><topic>Pattern matching</topic><topic>Sequences</topic><topic>Table lookup</topic><toplevel>online_resources</toplevel><creatorcontrib>Le, Vu Quang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Le, Vu Quang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A natural number based linear time filtering approach to finding all occurrences of a DNA pattern</atitle><btitle>2006 Fourth International Conference on Intelligent Sensing and Information Processing</btitle><stitle>ICISIP</stitle><date>2006-12</date><risdate>2006</risdate><spage>134</spage><epage>137</epage><pages>134-137</pages><isbn>9781424406111</isbn><isbn>1424406110</isbn><eisbn>1424406129</eisbn><eisbn>9781424406128</eisbn><abstract>String matching and searching techniques have been extensively studied in different research works [[1], [4], [5]]. They currently play an essential part in the field of computational biology. Most of those techniques, from classics to their improved versions could successfully accomplish the task in linear time. In this paper, I propose a new searching approach based on the delivery of distinct natural numbers over a transition matrix of four nucleotides to find all occurrences of a DNA pattern in a given string. My algorithm has only Θ( - 1) time complexity for the worst case with n to be the length of a given string s for a DNA pattern p of length m to be searched on.</abstract><pub>IEEE</pub><doi>10.1109/ICISIP.2006.4286078</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computer science DNA Filtering Frequency Genetics Matched filters Nonlinear filters Pattern matching Sequences Table lookup |
title | A natural number based linear time filtering approach to finding all occurrences of a DNA pattern |
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