Bioinformatics Books
You are currently browsing 31–40 of 131 new and published books in the subject of Bioinformatics — sorted by publish date from newer books to older books.
For books that are not yet published; please browse forthcoming books.
You are currently browsing 31–40 of 131 new and published books in the subject of Bioinformatics — sorted by publish date from newer books to older books.
For books that are not yet published; please browse forthcoming books.
Series: Chapman & Hall/CRC Mathematical & Computational Biology
Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. The book starts with the analysis of individual entities and works...
Published December 8th 2010 by Chapman and Hall/CRC
Under the vast umbrella of Plant Sciences resides a plethora of highly specialized fields. Botanists, agronomists, horticulturists, geneticists, and physiologists each employ a different approach to the study of plants and each for a different end goal. Yet all will find themselves in the...
Published November 18th 2010 by CRC Press
Series: Chapman & Hall/CRC Mathematical & Computational Biology
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery....
Published November 14th 2010 by CRC Press
Series: Chapman & Hall/CRC Mathematical & Computational Biology
Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully...
Published September 21st 2010 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Biostatistics Series
Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad...
Published September 2nd 2010 by Chapman and Hall/CRC
Series: Embedded Multi-Core Systems
New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic...
Published July 14th 2010 by CRC Press
From the hydrophobic effect to protein-ligand binding, statistical physics is relevant in almost all areas of molecular biophysics and biochemistry, making it essential for modern students of molecular behavior. But traditional presentations of this material are often difficult to penetrate....
Published June 1st 2010 by CRC Press
Series: Chapman & Hall/CRC Mathematical & Computational Biology
The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis,...
Published May 3rd 2010 by CRC Press
Series: Chapman & Hall/CRC Mathematical & Computational Biology
Unlike in the related area of bioinformatics, few books currently exist that document the techniques, tools, and algorithms of chemoinformatics. Bringing together worldwide experts in the field, the Handbook of Chemoinformatics Algorithms provides an overview of the most common chemoinformatics...
Published April 20th 2010 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Computer Science & Data Analysis
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to...
Published January 24th 2010 by Chapman and Hall/CRC