Baskadia

Bioinformatics: An Introductory Textbook by Thomas Dandekar, Meik Kunz

• Bioinformatics: An Introductory Textbook
  

• Thomas Dandekar, Meik Kunz
  

• Page: 357
  

• Format: pdf, ePub, mobi, fb2
  

• ISBN: 9783662650356
  

• Publisher: Springer Berlin Heidelberg
  

Bioinformatics: An Introductory Textbook

Amazon audio books downloads Bioinformatics: An Introductory Textbook 9783662650356 (English literature)

This book offers a gripping introduction to the fastest growing field of biology with easy-to-follow examples and a well-prepared appendix for the reader to cook up and experience everything right away. The book gets the reader started with the basics, such as how to easily find sequence information and then analyze it. In further chapters, the authors go into the various analysis options from RNA, DNA and proteins to entire metabolic pathways. Exciting examples from biology are chosen in each chapter to illustrate the analysis. Each chapter concludes with an exercise section that immediately puts what has been learned to use. The subject of this book is a must for any biology student, whether undergraduate or graduate, as bioinformatics is now unearthing amazing insights into the molecular basis of all living things. Computer science students and other students from related sciences will get a good introduction to bioinformatics, as biology and current topics (e.g. AI) are systematically introduced step by step alongside the software. Discover the key to life together with the authors and learn to understand the language of life. This book is a translation of the original German 2nd edition Bioinformatik by Thomas Dandekar and Meik Kunz, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Introduction to Bioinformatics - E-Books Directory
The rise of a new discipline, bioinformatics, brings together molecular biology, biotechnology and information technology. This book presents some theoretical 
Bioinformatics: An Introductory Textbook - Barnes & Noble
This book offers a gripping introduction to the fastest growing field of biology with easy-to-follow examples and a well-prepared appendix for the reader to 
Textbook of Bioinformatics, A: Information-Theoretic - Hooked
Description. This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a 
Introductory textbook in Bioinformatics for maths/stats/comp
But not prior education in biology, genetics or chemistry. Can you suggest an introductory textbook for bioinformatics geared towards people who 
What book or other material is the best introduction to - Quora
Start reading “Bioinformatics: Sequence and Genome analysis” by David W Mount. Its one of the best books to get an introduction to bioinformatics. I think, 
Genomics and Bioinformatics: An Introduction to - Tertulia
Programming examples are kept at an introductory level, avoiding complex mathematics that students often find daunting. The book demonstrates that even 
Can anyone recommend a textbook on bioinformatics?
44 answers
Bioinformatics: An Introduction (Computational - Village Books
Bioinformatics: An Introduction (Computational Biology #21) (Hardcover) · Other Books in Series · Related Editions · Description · About the Author 
20 Best-Selling Bioinformatics Books of All Time - BookAuthority
This introduction to computational molecular biology will help programmers and biologists learn the skills needed to start work in this important, expanding 
Algorithms in Bioinformatics: A Practical Introduction (Hardcover)
This book is intended to be an introductory bioinformatics textbook for mathematicians and computer scientists. It focuses on using algorithms and discrete