Bookbot

Introduction to computational biology

An Evolutionary Approach

Ocena książki

Parametry

  • 328 stron
  • 12 godzin czytania

Więcej o książce

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.

Zakup książki

Introduction to computational biology, Bernhard Haubold

Język
Rok wydania
2006
Oprawa
(twarda)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

3,5
Dobra
2 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Introduction to computational biology
Podtytuł
An Evolutionary Approach
Język
angielski
Rok wydania
2006
Oprawa
twarda
Liczba stron
328
ISBN10
3764367008
ISBN13
9783764367008
Seria
Ocena
3,5 z 5
Opis
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.