Verwandte Artikel zu DNA Motif Discovery: Intelligent Computing Techniques
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Regulatory motifs are short patterns of nucleotides, usually 5-20 bp long, found common in the promoter region of set of co-expressed genes. Identification of these motifs gives insight into the regulatory mechanism of genes, as they control the expression or regulation of a group of genes involved in a similar cellular function. Motif discovery algorithms aim to discover these common patterns, which may present in either strand of the DNA double helix. Identification of DNA motifs is complex due to mutations, which make them weekly conserved patterns. This book describes two intelligent computing algorithms for discovering regulatory motifs. First algorithm, MotifMiner, is a table driven greedy algorithm. Even though it could identify meaningful motifs from the test dataset, due to greedy approach it may fall into local optimum. The second algorithm, AISMOTIF, is an artificial immune system based pattern discovery algorithm. The major advantage of this algorithm is its ability to generate all possible motifs in the input sequences simultaneously in reasonable time. This book is intended to research scholars in the areas of pattern matching and computational biology.
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Über die Autorin bzw. den Autor
The author received Ph.D. in Computer Science from Jamia Hamdard University,India. Her research interests are Data Mining, Algorithm Design and Bioinformatics. She has published many research papers in referred journals. Currently, she is Assistant Professor in the Department of Computer Science, Jamia Hamdard University, New Delhi, India
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DNA Motif Discovery
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LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659392928
ISBN 13: 9783659392924
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regulatory motifs are short patterns of nucleotides, usually 5-20 bp long, found common in the promoter region of set of co-expressed genes. Identification of these motifs gives insight into the regulatory mechanism of genes, as they control the expression or regulation of a group of genes involved in a similar cellular function. Motif discovery algorithms aim to discover these common patterns, which may present in either strand of the DNA double helix. Identification of DNA motifs is complex due to mutations, which make them weekly conserved patterns. This book describes two intelligent computing algorithms for discovering regulatory motifs. First algorithm, MotifMiner, is a table driven greedy algorithm. Even though it could identify meaningful motifs from the test dataset, due to greedy approach it may fall into local optimum. The second algorithm, AISMOTIF, is an artificial immune system based pattern discovery algorithm. The major advantage of this algorithm is its ability to generate all possible motifs in the input sequences simultaneously in reasonable time. This book is intended to research scholars in the areas of pattern matching and computational biology. 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659392924
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K.R. SeejaThe author received Ph.D. in Computer Science from Jamia Hamdard University,India. Her research interests are Data Mining, Algorithm Design and Bioinformatics. She has published many research papers in referred journals. Cu. Bestandsnummer des Verkäufers 5153254
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Regulatory motifs are short patterns of nucleotides, usually 5-20 bp long, found common in the promoter region of set of co-expressed genes. Identification of these motifs gives insight into the regulatory mechanism of genes, as they control the expression or regulation of a group of genes involved in a similar cellular function. Motif discovery algorithms aim to discover these common patterns, which may present in either strand of the DNA double helix. Identification of DNA motifs is complex due to mutations, which make them weekly conserved patterns. This book describes two intelligent computing algorithms for discovering regulatory motifs. First algorithm, MotifMiner, is a table driven greedy algorithm. Even though it could identify meaningful motifs from the test dataset, due to greedy approach it may fall into local optimum. The second algorithm, AISMOTIF, is an artificial immune system based pattern discovery algorithm. The major advantage of this algorithm is its ability to generate all possible motifs in the input sequences simultaneously in reasonable time. This book is intended to research scholars in the areas of pattern matching and computational biology.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659392924
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DNA Motif Discovery : Intelligent Computing Techniques
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ISBN 10: 3659392928
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Regulatory motifs are short patterns of nucleotides, usually 5-20 bp long, found common in the promoter region of set of co-expressed genes. Identification of these motifs gives insight into the regulatory mechanism of genes, as they control the expression or regulation of a group of genes involved in a similar cellular function. Motif discovery algorithms aim to discover these common patterns, which may present in either strand of the DNA double helix. Identification of DNA motifs is complex due to mutations, which make them weekly conserved patterns. This book describes two intelligent computing algorithms for discovering regulatory motifs. First algorithm, MotifMiner, is a table driven greedy algorithm. Even though it could identify meaningful motifs from the test dataset, due to greedy approach it may fall into local optimum. The second algorithm, AISMOTIF, is an artificial immune system based pattern discovery algorithm. The major advantage of this algorithm is its ability to generate all possible motifs in the input sequences simultaneously in reasonable time. This book is intended to research scholars in the areas of pattern matching and computational biology. Bestandsnummer des Verkäufers 9783659392924
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