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This is the follow-up course for "Practical Classes in Bioinformatics I" and continues in exercising practical bioinformatics programming.
Last update: Znamenáček Jiří (22.02.2018)
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Students will be graded by the work done on home exercises and the presentation on the given subject. Last update: Znamenáček Jiří (14.02.2018)
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R: Libeskind-Hadas, Ran; Bush, Eliot: "Computing for Biologists: Python Programming and Principles". Cambridge University Press, 2014. ISBN 978-1107642188 R: Mareš, Martin; Valla, Tomáš: "Průvodce labyrintem algoritmů". CZ.NIC, 2017. ISBN 978-80-88168-22-5 R: Jones, Neil C.; Pevzner, Pavel A.: "An Introduction to Bioinformatics Algorithms". The MIT Press, 2004. ISBN 978-0262101066 A: Antao, Tiago: "Bioinformatics with Python Cookbook". Packt Publishing, 2015. ISBN 978-1782175117 A: Wróblewski, Piotr: "Algoritmy". Computer Press, 2017. ISBN 978-80-251-4126 A: Bassi, Sebastian: "Python for Bioinformatics". Chapman and Hall/CRC, 2009. ISBN 978-1584889298 A: Compeau, Phillip; Pevzner, Pavel: "Bioinformatics Algorithms: An Active Learning Approach". Active Learning Publishers, 2014. ISBN 978-0990374602 A: Pilgrim, Mark: "Ponořme se do Python(u) 3". CZ.NIC, 2011. ISBN 978-80-904248-2-1 A: Stevens, Tim J.; Boucher, Wayne: "Python Programming for Biology: Bioinformatics and Beyond". Cambridge University Press, 2015. ISBN 978-0521720090 A: Haddock, Steven H.D.; Dunn, Casey W.: "Practical Computing for Biologists". Sinauer Associates, 2010. ISBN 978-0878933914 Last update: Znamenáček Jiří (05.11.2018)
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A graded credit: homeworks and presentation on the given subject Last update: Znamenáček Jiří (14.02.2018)
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1-2. Algorithm complexity II. Problémy třídy složitosti P a NP. 3-5. Protein folding. RNA structure. 6-8. Graph algorithms. Genome assembly. 9. Phylogenetics. 10. Genové regulatory networks. 11-14. Neural networks. Machine learning. Last update: Znamenáček Jiří (15.02.2018)
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web pages of the course at http://vyuka.ookami.cz Last update: Znamenáček Jiří (14.02.2018)
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Students will be able to: Use existing bioinformatics tools for their own work. Understand the principles of the most important bioinformatics challenges. Solve basic bioinformatics problems using Python programming language. Last update: Znamenáček Jiří (22.02.2018)
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Practical Classes in Bioinformatics I Last update: Znamenáček Jiří (14.02.2018)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1 | 28 | ||
Účast na seminářích | 1 | 28 | ||
2 / 2 | 56 / 56 |
Coursework assessment | |
Form | Significance |
Homework preparation | 40 |
Defense of an individual project | 60 |