Search Results - Chapman & Hall/CRC Computational Biology Series

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Handbook of Hidden Markov Models in Bioinformatics

Biological computation

Introduction to proteins: structure, function and motion

Stochastic modelling for systems biology

Introduction to proteins: structure, function, and motion

Game-theoretical models in biology

Chromatin: structure, dynamics, regulation

Statistical modeling and machine learning for molecular biology

Biological sequence analysis using SeqAn C++ library

Normal mode analysis: theory and applications to biological and chemical systems - 9

Statistical Methods for QTL Mapping - 53

Genome annotation

Genome annotation

RNA-seq data analysis: a practical approach

Big data analysis for bioinformatics and biomedical discoveries

Introduction to proteins: structure, function and motion

Bioinformatics Methods: From Omics to Next Generation Sequencing

Big data in omics and imaging: integrated analysis and causal inference

Optimal control applied to biological models - 0

Computational biology: a statistical mechanics perspective

Managing your biological data with Python - 52

Combinatorial pattern matching algorithms in computational biology using Perl and R

Introduction to bioinformatics - 13

Game-theoretical models in biology

Stochastic modelling for systems biology

Glycome Informatics: Methods and Applications

An introduction to systems biology: design principles of biological circuits

Statistics and data analysis for microarrays using R and Bioconductor

Bioinformatics Methods: From Omics to Next Generation Sequencing

Algorithms for next-generation sequencing

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