Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
E-BookPDF1 - PDF WatermarkE-Book
357 Seiten
Englisch
Springer Berlin Heidelbergerschienen am02.03.20231st ed. 2023
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.






Thomas Dandekar is Chair of Bioinformatics at the University of Würzburg.

Meik Kunz is Academic Councillor at the Chair of Medical Informatics at the Friedrich-Alexander University Erlangen-Nuremberg
mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR42,79
E-BookPDF1 - PDF WatermarkE-Book
EUR42,79

Produkt

KlappentextThis 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.






Thomas Dandekar is Chair of Bioinformatics at the University of Würzburg.

Meik Kunz is Academic Councillor at the Chair of Medical Informatics at the Friedrich-Alexander University Erlangen-Nuremberg
Details
Weitere ISBN/GTIN9783662650363
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2023
Erscheinungsdatum02.03.2023
Auflage1st ed. 2023
Seiten357 Seiten
SpracheEnglisch
Dateigrösse13960 Kbytes
IllustrationenIX, 357 p. 1 illus.
Artikel-Nr.8853504
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
I How does bioinformatics work?.- 1 Sequence analysis: deciphering the language of life.- 2 Magic RNA.- 3 Genomes - molecular maps of living organisms.- 4 Modeling metabolism and finding new antibiotics.- 5 Systems biology and uncovering the causes of disease. II How do I understand bioinformatics?"- 6 Superfast sequence comparisons identify which molecules are present.- 7 Better understand signaling cascades by measuring encoded information.- 8 When does a computer stop computing?"- 9 Complex systems behave in fundamentally similar ways.- 10 Better compare evolution with a computer.- 11 Design principles of a cell. III What is the magical, fascinating thing about bioinformatics?.- 12 Life is always developing new information in dialogue with the environment.- 13 Life is always inventing new levels of language.- 14 We can think about ourselves - the computer cannot.- 15 How is our own, extremely powerful brain built?.- 16 Bioinformatics connects life with the universe and all the rest.- 17 Conclusion. 17 Concluding remarks and summary.- IV Glossary, tutorial, solutions and web links.- 18 Glossary.- 19 Tutorial: an overview of important databases and programs.- 20 Solutions to the exercises.- Appendix: overview of important databases and programs and their general use.- Index.mehr

Autor