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Introduction to Computational Biology: An Evolutionary Approach
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Bester Preis: € 10,58 (vom 05.03.2017)Introduction to Computational Biology - An Evolutionary Approach
ISBN: 9783764373870 bzw. 3764373873, in Deutsch, Birkhäuser, neu, E-Book, elektronischer Download.
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
Introduction to Computational Biology: An Evolutionary Approach (2008)
ISBN: 9788184890624 bzw. 8184890621, in Englisch, New Age International (P) Limited, Taschenbuch, neu.
Von Händler/Antiquariat, BookVistas.
New Age International (P) Limited, 2008. First edition. Softcover. New. Molecular biology has changed dramatically over the past two decades. Until the early 1990 genes were studied one at time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologist, mathematicians, and computer scientists. Printed Pages: 344.
Introduction to Computational Biology: An Evolutionary Approach (2008)
ISBN: 9788184890624 bzw. 8184890621, in Englisch, 344 Seiten, Springer (sie), Taschenbuch, neu.
Von Händler/Antiquariat, All India Book House.
Molecular biology has changed dramatically over the past two decades. Until the early 1990 genes were studied one at time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as new sub discipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologist, mathematicians and computer scientists. This special low-priced edition is for sale in India, Bangladesh, Nepal, Pakistan and Sri Lanka only. Paperback, लेबल: Springer (sie), Springer (sie), उत्पाद समूह: Book, प्रकाशित: 2008-01-01, स्टूडियो: Springer (sie), बिक्री रैंक: 239602.
Introduction to Computational Biology
ISBN: 9783764373870 bzw. 3764373873, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists. eBook.
Introduction to Computational Biology: An Evolutionary Approach (2008)
ISBN: 9788184890624 bzw. 8184890621, in Englisch, New Age International (P) Limited, Taschenbuch, neu, Erstausgabe.
Molecular biology has changed dramatically over the past two decades. Until the early 1990 genes were studied one at time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologist, mathematicians, and computer scientists. Printed Pages: 344.
Introduction to Computational Biology: An Evolutionary Approach (2008)
ISBN: 9788184890624 bzw. 8184890621, in Englisch, New Age International (P) Limited, Taschenbuch, neu, Erstausgabe.
Molecular biology has changed dramatically over the past two decades. Until the early 1990 genes were studied one at time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologist, mathematicians, and computer scientists. Printed Pages: 344.
Introduction to Computational Biology
ISBN: 9783764373870 bzw. 3764373873, vermutlich in Englisch, Birkhäuser Basel, Taschenbuch, neu.
Introduction to Computational Biology
ISBN: 9783764373870 bzw. 3764373873, in Deutsch, Birkenhäuser Verlag, Basel/Boston/Stuttgart, Schweiz, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Introduction to Computational Biology als eBook von Bernhard Haubold, Thomas Wiehe
ISBN: 9783764373870 bzw. 3764373873, in Deutsch, Birkhäuser Basel, neu.
Introduction to Computational Biology ab 40.49 EURO An Evolutionary Approach.