Bioinformatics algorithms: an active learning approach
Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approa...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
La Jolla, CA
Active Learning Publ.
2014
|
| Ausgabe: | 2. print. |
| Schlagworte: | |
| Online-Zugang: | Book website |
| Zusammenfassung: | Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. |
| Beschreibung: | Includes bibliographical references (pages 357-362) |
| Beschreibung: | XXII, 362 S. graph. Darst., Ill. 23 cm |
| ISBN: | 9780990374602 |
Internformat
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| 500 | |a Includes bibliographical references (pages 357-362) | ||
| 520 | |a Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. | ||
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| author | Compeau, Phillip Pevzner, Pavel |
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| discipline | Biologie |
| edition | 2. print. |
| format | Book |
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| spelling | Compeau, Phillip Verfasser aut Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner 2. print. La Jolla, CA Active Learning Publ. 2014 XXII, 362 S. graph. Darst., Ill. 23 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 357-362) Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Bioinformatik (DE-588)4611085-9 s Algorithmus (DE-588)4001183-5 s 2\p DE-604 Pevzner, Pavel Verfasser (DE-588)101596737X aut http://bioinformaticsalgorithms.com Book website 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Compeau, Phillip Pevzner, Pavel Bioinformatics algorithms an active learning approach Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4001183-5 (DE-588)4611085-9 (DE-588)4123623-3 |
| title | Bioinformatics algorithms an active learning approach |
| title_auth | Bioinformatics algorithms an active learning approach |
| title_exact_search | Bioinformatics algorithms an active learning approach |
| title_full | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_fullStr | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_full_unstemmed | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_short | Bioinformatics algorithms |
| title_sort | bioinformatics algorithms an active learning approach |
| title_sub | an active learning approach |
| topic | Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus Bioinformatik Lehrbuch |
| url | http://bioinformaticsalgorithms.com |
| work_keys_str_mv | AT compeauphillip bioinformaticsalgorithmsanactivelearningapproach AT pevznerpavel bioinformaticsalgorithmsanactivelearningapproach |