Frontiers in Computational and Systems Biology by Jianfeng Feng
Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician's fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual's susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially leadto the development of useful brain-machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.-
Modeling in Systems Biology
-
Models and Algorithms for Genome Evolution
-
Sequence Analysis and Modern C++
-
Networks in Systems Biology
-
Phenotypes and Genotypes
-
Video Bioinformatics
-
Distributed and Sequential Algorithms for Bioinformatics
-
Parameter Advising for Multiple Sequence Alignment
-
Artificial Intelligence Methods and Tools for Systems Biology
-
Bioinformatics and Phylogenetics
-
Theoretical and Applied Aspects of Systems Biology
-
Advances in Artificial Intelligence, Computation, and Data Science
-
Comparative Gene Finding
-
Protein-protein Interactions and Networks
-
Summarizing Biological Networks
-
Algorithms and Methods in Structural Bioinformatics
-
Computing for Comparative Microbial Genomics
-
Bioinformatics
-
Anatomy Ontologies for Bioinformatics
-
Sequence Comparison
-
Foundations of Systems Biology
-
Bioinformatics: An Introduction
-
Comparative Genomics
-
Phylogenetic Supertrees
-
Hidden Markov Models for Bioinformatics
From the reviews:
“This mosaic of reviews and research precisely reflects the dynamic field of computational and systems biologyAll of the major organizational levels of life are represented … . Each chapter has a brief introduction to a biological subject, a review of the main mathematical and statistical models for that particular topic, and a description of the main applications and conclusions. There are an abundant number of references for each chapter. … This compilation … is likely to inspire generations of students, researchers, and readers.” (Adrian Pasculescu, ACM Computing Reviews, January, 2011)Michael S. Waterman, Ting Chen, and Fengzhu Sun are with the Departments of Biology, Computer Science and Mathematics at the University of Southern California, USA.
| SKU | Unavailable |
| ISBN 13 | 9781447125709 |
| ISBN 10 | 1447125703 |
| Title | Frontiers in Computational and Systems Biology |
| Author | Jianfeng Feng |
| Series | Computational Biology |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2012-09-05 |
| Number of pages | 24 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |