This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature.
This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computing tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second.
The field of bioinformatics continues to develop energetically. This second edition covers new findings using the formula of the original text. It is self-contained, bringing together the multiple disciplines necessary for a profound grasp of the field.
This book presents fundamental principles for problem analysis and algorithm design used in bioinformatics. It includes numerous cause studies from the main fields of bioinformatics, from sequencing and mapping to pseudo-knot detection.
This unique text describes the state-of-the-art in computational gene finding, with a particular focus on comparative approaches. It summarizes advances in the field and includes detailed descriptions of the models and algorithms and how to implement them.
The problem many microbiologists face is simply that of too much information. Built around teaching computational and bioinformatic methodology, this book details published methods for comparing genomes and provides examples of how to make custom comparisons.
In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines.
This book introduces a cutting-edge mathematical formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution.
This book offers state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments.