Bioinformatics Bioinformatics

Bioinformatics

An Introductory Textbook

    • ‏37٫99 US$
    • ‏37٫99 US$

وصف الناشر

This book, which picks up the reader at the basics, provides a gripping introduction to bioinformatics as the fastest growing field of biology with easy-to-follow examples and a well-prepared software appendix for the reader.

After the basics of sequence analysis we discuss analysis options from DNA, RNA and proteins to networks, distinguishing regulatory and metabolic pathways with exciting examples from biology for illustration and an exercise section for training.

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.

The Authors

Thomas Dandekar holds the chair of bioinformatics at the University of Würzburg.

Meik Kunz is Academic Counsellor at the Chair of Medical Informatics at the Friedrich Alexander University of Erlangen-Nuremberg.
This book is a translation of an original German edition. 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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Advances in Bioinformatics Advances in Bioinformatics
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Bioinformatics Bioinformatics
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Catalyzing Inquiry at the Interface of Computing and Biology Catalyzing Inquiry at the Interface of Computing and Biology
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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
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Soft Computing for Biological Systems Soft Computing for Biological Systems
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Bioinformatics Bioinformatics
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Bioinformatik am Beispiel des SARS-CoV2 Virus und der Covid19 Pandemie Bioinformatik am Beispiel des SARS-CoV2 Virus und der Covid19 Pandemie
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Bioinformatik Bioinformatik
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Bioinformatik Bioinformatik
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