Opening book details…
Can I read Introduction to Computational Genomics : A Case Studies Approach on EtoBox?
Introduction to Computational Genomics : A Case Studies Approach by Nello Cristianini; Matthew William Hahn is a nonfiction available to read on EtoBox.
What is Introduction to Computational Genomics : A Case Studies Approach about?
<p>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.</p>
Who reads Introduction to Computational Genomics : A Case Studies Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Nello Cristianini; Matthew William Hahn
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2007
- Language
- EN
- ISBN
- 9780511808982
- Category
- nonfiction
- Subjects
- Science, Mathematics, Computer Science
Other editions & translations
More by Nello Cristianini; Matthew William Hahn
Browse all works by Nello Cristianini; Matthew William Hahn
Similar books
- Evolutionary Genomics : Statistical and Computational Methods — Maria Anisimova (2019)
- Computational and Statistical Approaches to Genomics — Wei Zhang, Ilya Shmulevich, (2002)
- Frontiers in Computational Genomics (Functional Genomics Series) — edited by Michael Y. Galperin and Eugene V. Koonin (2003)
- Introduction to Visual Effects : A Computational Approach — Bruno Madeira; Luiz Velho (2022)
- Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. (Computational Imaging and Vision (39)) — Aapo Hyvärinen, Jarmo Hurri, Patrick O. Hoyer (2009)
- Introduction to Evolutionary Genomics (Computational Biology Book 17) — Naruya Saitou (2014)