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Computational Molecular Biology

Computational molecular biology is a new discipline, bringing together computational, statistical, experimental, and technological methods, which is energizing and dramatically accelerating the discovery of new technologies and tools for molecular biology. The MIT Press Series on Computational Molecular Biology is intended to provide a unique and effective venue for the rapid publication of monographs, textbooks, edited collections, reference works, and lecture notes of the highest quality.

Mining the Biomedical Literature

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A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text available

Algorithms in Structural Molecular Biology

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An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.

Learning and Inference in Computational Systems Biology

Edited by Neil D. Lawrence, Mark Girolami, Magnus Rattray and Guido Sanguinetti

Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific.

Combinatorics of Genome Rearrangements

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A comprehensive survey of a rapidly expanding field of combinatorial optimization, mathematically oriented but offering biological explanations when required.

Biological Modeling and Simulation

A Survey of Practical Models, Algorithms, and Numerical Methods
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A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems.

Ontologies for Bioinformatics

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Ontologies as a critical framework for the vast amounts of data in the postgenomic era: an introduction to the basic concepts and applications of ontologies and ontology languages for the life sciences.

Microarrays for an Integrative Genomics

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Immunological Bioinformatics

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Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms.

Gene Regulation and Metabolism

Post-Genomic Computational Approaches
Edited by Julio Collado-Vides and Ralf Hofestädt

An Introduction to Bioinformatics Algorithms

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An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.

Kernel Methods in Computational Biology

Edited by Bernhard Schölkopf, Koji Tsuda and Jean-Philippe Vert

A detailed overview of current research in kernel methods and their application to computational biology.

Computational Modeling of Genetic and Biochemical Networks

Edited by Hamid Bolouri

Current Topics in Computational Molecular Biology

Edited by Tao Jiang, Ying Xu and Michael Q. Zhang

A survey of current topics in computational molecular biology.

Computational Molecular Biology

An Algorithmic Approach
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