Author | : Golan Yona |
Publisher | : CRC Press |
Total Pages | : 767 |
Release | : 2010-12-09 |
ISBN 10 | : 9781420010770 |
ISBN 13 | : 1420010778 |
Language | : EN, FR, DE, ES & NL |
Language: en
Pages: 767
Pages: 767
Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems
Language: en
Pages: 767
Pages: 767
Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems
Language: en
Pages: 461
Pages: 461
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematic
Language: en
Pages: 203
Pages: 203
Computational methodologies and modeling play a growing role for investigating mechanisms, and for the diagnosis and therapy of human diseases. This progress ga
Language: en
Pages: 462
Pages: 462
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data
Language: en
Pages: 343
Pages: 343
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult com
Language: en
Pages: 316
Pages: 316
Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good tra
Language: en
Pages: 380
Pages: 380
Proteomics and Systems Biology, Volume 127 in the Advances in Protein Chemistry and Structural Biology series, outlines current proteomic methodologies and disc
Language: en
Pages: 276
Pages: 276
Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogene
Language: en
Pages: 557
Pages: 557
Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneo