EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem

EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem

Finding DNA motifs is a widely studied area in the field of Computational Biology. Motifs signify different information that are useful for biologists like discovering transcription factor-binding sites and helps them identify potential therapeutic drug t

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Bibliographic Details
Main Author: MARK JOSEPH, RONQUILLO
Format: text
Published: Archīum Ateneo 2016
Subjects:
Nucleotide sequence > Data processing
Nucleotide sequence > Statistical methods
Algorithms
DNA > Structure > Computer simulation
Molecular biology > Mathematical models
Computational biology > Methods
Online Access:https://archium.ateneo.edu/theses-dissertations/328
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Institution: Ateneo De Manila University
id ph-ateneo-arc.theses-dissertations-1454
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spelling ph-ateneo-arc.theses-dissertations-14542021-04-11T05:42:03Z EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem MARK JOSEPH, RONQUILLO Finding DNA motifs is a widely studied area in the field of Computational Biology. Motifs signify different information that are useful for biologists like discovering transcription factor-binding sites and helps them identify potential therapeutic drug t 2016-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/328 Theses and Dissertations (All) Archīum Ateneo Nucleotide sequence -- Data processing Nucleotide sequence -- Statistical methods Algorithms DNA -- Structure -- Computer simulation Molecular biology -- Mathematical models 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 Nucleotide sequence -- Data processing
Nucleotide sequence -- Statistical methods
Algorithms
DNA -- Structure -- Computer simulation
Molecular biology -- Mathematical models
Computational biology -- Methods
spellingShingle Nucleotide sequence -- Data processing
Nucleotide sequence -- Statistical methods
Algorithms
DNA -- Structure -- Computer simulation
Molecular biology -- Mathematical models
Computational biology -- Methods
MARK JOSEPH, RONQUILLO
EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
description Finding DNA motifs is a widely studied area in the field of Computational Biology. Motifs signify different information that are useful for biologists like discovering transcription factor-binding sites and helps them identify potential therapeutic drug t
format text
author MARK JOSEPH, RONQUILLO
author_facet MARK JOSEPH, RONQUILLO
author_sort MARK JOSEPH, RONQUILLO
title EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
title_short EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
title_full EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
title_fullStr EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
title_full_unstemmed EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
title_sort ems-gt2 : an improved exact solution for the (l, d)-planted motif search problem
publisher Archīum Ateneo
publishDate 2016
url https://archium.ateneo.edu/theses-dissertations/328
_version_ 1712577831983120384

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