Articoli correlati a Bioinformatics: An Introduction: 21

Bioinformatics: An Introduction: 21 - Rilegato

Libro 21 di 21: Computational Biology

Ramsden, Jeremy

 
9783030456061: Bioinformatics: An Introduction: 21
Rilegato
ISBN 10: 3030456064 ISBN 13: 9783030456061
Casa editrice: Springer Nature, 2023

Sinossi

This invaluable textbook presents a self-contained introduction to the field of bioinformatics. Providing a comprehensive breadth of coverage while remaining accessibly concise, the text promotes a deep understanding of the field, supported by basic mathematical concepts, an emphasis on biological knowledge, and a holistic approach that highlights the connections unifying bioinformatics with other areas of science.

The thoroughly revised and enhanced fourth edition features new chapters focusing on cancer research applications, data mining, and causal inference in biology. This edition additionally includes new and updated material on inference engines, stem cell programmability, the ontology of bioinformatics, and natural and artificial ecosystems. Also covered are new developments in sequencing technologies, gene editing methods, and the modelling of the brain, as well as state-of-the-art medical applications. Of especial topicality is a new chapter on bioinformatics aspects of the present coronavirus epidemic.

Topics and features: explains the fundamentals of set theory, combinatorics, probability, likelihood, causality, clustering, pattern recognition, randomness, complexity, systems, and networks; discusses topics on ontogeny, phylogeny, and genome structure, as well as aspects of molecular biology; critically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the data; provides a varied selection of problems throughout the book, to stimulate further thinking; encourages further reading through the inclusion of an extensive bibliography.

This classic textbook builds upon the successful formula of previous editions with coverage of the latest advances in this exciting and fast-moving field. With its interdisciplinary scope, this unique guide will prove to be an essential study companion to a broad audience of undergraduate and beginning graduate students, spanning computer scientists focusing on bioinformatics, students of the physical sciences seeking a helpful primer on biology, and biologists desiring to better understand the theory underlying important applications of information science in biology.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Clore Laboratory at the University of Buckingham, UK.

Dalla quarta di copertina

This invaluable textbook presents a self-contained introduction to the field of bioinformatics. Providing a comprehensive breadth of coverage while remaining accessibly concise, the text promotes a deep understanding of the field, supported by basic mathematical concepts, an emphasis on biological knowledge, and a holistic approach that highlights the connections unifying bioinformatics with other areas of science.

The thoroughly revised and enhanced fourth edition features new chapters focusing on cancer research applications, data mining, and causal inference in biology. This edition additionally includes new and updated material on inference engines, stem cell programmability, the ontology of bioinformatics, and natural and artificial ecosystems. Also covered are new developments in sequencing technologies, gene editing methods, and the modelling of the brain, as well as state-of-the-art medical applications. Of especial topicality is a new chapter on bioinformatics aspects of the present coronavirus epidemic.

Topics and features:

  • Explains the fundamentals of set theory, combinatorics, probability, likelihood, causality, clustering, pattern recognition, randomness, complexity, systems, and networks
  • Discusses topics on ontogeny, phylogeny, and genome structure, as well as aspects of molecular biology
  • Critically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the data
  • Provides a varied selection of problems throughout the book, to stimulate further thinking
  • Encourages further reading through the inclusion of an extensive bibliography

This classic textbook builds upon the successful formula of previous editions with coverage of the latest advances in this exciting and fast-moving field. With its interdisciplinary scope, this unique guide will prove to be an essential study companion to a broad audience of undergraduate and beginning graduate students, spanning computer scientists focusing on bioinformatics, students of the physical sciences seeking a helpful primer on biology, and biologists desiring to better understand the theory underlying important applications of information science in biology.

Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Clore Laboratory at the University of Buckingham, UK.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
3030456064
ISBN 13 
9783030456061
Rilegatura
Copertina rigida
Numero edizione
4
Numero di pagine
426
Contatto del produttore
non disponibile
Persona responsabile
non disponibile