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.
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 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.