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Handbook of hidden Markov models in bioinformatics

Biological computation

Introduction to proteins: structure, function, and motion

Introduction to proteins: structure, function and motion

Stochastic modelling for systems biology

Big data analysis for bioinformatics and biomedical discoveries

Chromatin: structure, dynamics, regulation

Introduction to mathematical oncology

Spatiotemporal patterns in ecology and epidemiology: theory, models, and simulation

Stochastic dynamics for systems biology : 54

An introduction to physical oncology: how mechanistic mathematical modeling can improve cancer therapy outcomes

RNA-seq data analysis: a practical approach

Game-theoretical models in biology

Bayesian phylogenetics: methods, computational algorithms, and applications

Cancer systems biology : 32

Multiscale cancer modeling : 34

Clustering in bioinformatics and drug discovery

Quantitative biology: from molecular to cellular systems

Computational and visualization techniques for structural bioinformatics using Chimera

Statistical methods for QTL mapping : 53

Managing your biological data with Python : 52

Dynamics of biological systems

Python for bioinformatics

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

Spatial ecology

Combinatorial pattern matching algorithms in computational biology using Perl and R

Handbook of chemoinformatics algorithms

Engineering genetic circuits

Glycome informatics: methods and applications : 0

Optimal control applied to biological models : 0

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