Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique

Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique

DNA motif finding is widely recognized as a difficult problem in computational biology and computer science. Because of the usual large search space involved, exact solutions typically require a significant amount of execution time before discovering a mo

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Bibliographic Details
Main Author: MARIA CLARA ISABEL, SIA
Format: text
Published: Archīum Ateneo 2015
Subjects:
Genetics > Data processing
DNA > Structure > Computer simulation
Molecular biology > Mathematical models
Nucleotide sequence > Statistical methods > Computer simulation
Computational biology > Methods
Online Access:https://archium.ateneo.edu/theses-dissertations/298
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Institution: Ateneo De Manila University
id ph-ateneo-arc.theses-dissertations-1424
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spelling ph-ateneo-arc.theses-dissertations-14242021-04-11T05:42:03Z Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique MARIA CLARA ISABEL, SIA DNA motif finding is widely recognized as a difficult problem in computational biology and computer science. Because of the usual large search space involved, exact solutions typically require a significant amount of execution time before discovering a mo 2015-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/298 Theses and Dissertations (All) Archīum Ateneo Genetics -- Data processing DNA -- Structure -- Computer simulation Molecular biology -- Mathematical models Nucleotide sequence -- Statistical methods -- Computer simulation Computational biology -- Methods
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Genetics -- Data processing
DNA -- Structure -- Computer simulation
Molecular biology -- Mathematical models
Nucleotide sequence -- Statistical methods -- Computer simulation
Computational biology -- Methods
spellingShingle Genetics -- Data processing
DNA -- Structure -- Computer simulation
Molecular biology -- Mathematical models
Nucleotide sequence -- Statistical methods -- Computer simulation
Computational biology -- Methods
MARIA CLARA ISABEL, SIA
Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
description DNA motif finding is widely recognized as a difficult problem in computational biology and computer science. Because of the usual large search space involved, exact solutions typically require a significant amount of execution time before discovering a mo
format text
author MARIA CLARA ISABEL, SIA
author_facet MARIA CLARA ISABEL, SIA
author_sort MARIA CLARA ISABEL, SIA
title Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
title_short Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
title_full Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
title_fullStr Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
title_full_unstemmed Improving an exact solution to the (l,d)-Planted motif problem using a pattern-based speedup technique
title_sort improving an exact solution to the (l,d)-planted motif problem using a pattern-based speedup technique
publisher Archīum Ateneo
publishDate 2015
url https://archium.ateneo.edu/theses-dissertations/298
_version_ 1712577826555691008

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