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_aDandekar, Thomas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aBioinformatics _h[electronic resource] : _bAn Introductory Textbook / _cby Thomas Dandekar, Meik Kunz. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2023. |
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_aIX, 357 p. 1 illus. _bonline resource. |
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| 505 | 0 | _aI 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aBioinformatics. | |
| 650 | 1 | 4 | _aBioinformatics. |
| 650 | 2 | 4 | _aComputational and Systems Biology. |
| 700 | 1 |
_aKunz, Meik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783662650356 |
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_iPrinted edition: _z9783662650370 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-65036-3 |
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