Bioinformatics Books

New and Published Books – Page 2

11. Practical Bioinformatics

    By Michael Agostino

    Practical Bioinformatics is specifically designed for biology majors, with a heavy emphasis on the steps required to perform bioinformatics analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example, database...

    Published September 25th 2012 by Garland Science
12. Genome Annotation

    By Jung Soh, Paul M.K. Gordon, Christoph W. Sensen

    Series: Chapman & Hall/CRC Mathematical & Computational Biology

    The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and...

    Published August 29th 2012 by Chapman and Hall/CRC
13. Computational Modelling of Objects Represented in Images III

    Fundamentals, Methods and Applications

    Edited by Paolo Di Giamberardino, Daniela Iacoviello, João Manuel R.S. Tavares, R.M. Natal Jorge

    Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7...

    Published August 27th 2012 by CRC Press
14. Quantitative Biology

    From Molecular to Cellular Systems

    Edited by Michael E. Wall

    Series: Chapman & Hall/CRC Mathematical & Computational Biology

    Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory, computation, experimental assays, and the control of...

    Published August 24th 2012 by CRC Press
15. Computational Systems Biology of Cancer

    By Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, Andrei Zinovyev

    Series: Chapman & Hall/CRC Mathematical & Computational Biology

    The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput...

    Published August 24th 2012 by CRC Press
16. Multiobjective Optimization Methodology

    A Jumping Gene Approach

    By K.S. Tang, T.M. Chan, R.J. Yin, K.F. Man

    Series: Industrial Electronics

    The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply adequate, viable solutions to multiobjective problems quickly and with low computational cost. Better...

    Published May 3rd 2012 by CRC Press
17. A First Course in Systems Biology

    By Eberhard Voit

    A First Course in Systems Biology is a textbook designed for advanced undergraduate and graduate students. Its main focus is the development of computational models and their applications to diverse biological systems. Because the biological sciences have become so complex that no...

    Published March 27th 2012 by Garland Science
18. Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition

    By Sorin Drăghici

    Series: Chapman & Hall/CRC Mathematical & Computational Biology

    Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms,...

    Published December 5th 2011 by Chapman and Hall/CRC
19. Stochastic Modelling for Systems Biology, Second Edition

    By Darren J. Wilkinson

    Series: Chapman & Hall/CRC Mathematical & Computational Biology

    Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything...

    Published November 8th 2011 by CRC Press
20. Feedback Control in Systems Biology

    By Carlo Cosentino, Declan Bates

    Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty—such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in...

    Published October 16th 2011 by CRC Press