Computer File

Introduction to computational genomics: a case studies approach

---

Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book.

---

Availability

Detail Information

Series Title

-

Call Number

[SIF-LIB-67]

Publisher

enk : Cambridge University Press., 2007

Collation

xvii, 182 p. : ill. ; 26 cm.

Language

English

ISBN/ISSN

9780521671910

Classification

QH438.4.S73 C75 2007

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Genomics
Computational biology

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment