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Vyučující
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Bulah Chia-Hsiang Wu, MSc. Ph.D.
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Nguyen Petr, RNDr. Ph.D.
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Obsah předmětu
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Lectures and practicals cover the following topics: 1) Introducing the Shell, basic commands 2) Files and directories 3) Pipes and filters 4) Loops 5) Shell scripts 6) Finding things 7) Introduction to R, basic operations 8) Data types and data structures (vector, matrix, data frame, list) 9) Data import and export, data manipulating and formatting 10) Installing packages, using built-in functions, getting help 11) Loops, custom functions 12) Graphs basics, ggplot2
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Studijní aktivity a metody výuky
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- Účast na výuce
- 39 hodin za semestr
- Příprava na zkoušku
- 20 hodin za semestr
- Domácí příprava na výuku
- 16 hodin za semestr
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Výstupy z učení
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The course presents the basic computing tools needed to build automated and reproducible pipelines for biological data analysis, visualization and publication.
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Předpoklady
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nespecifikováno
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Hodnoticí metody a kritéria
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nespecifikováno
credit: attendance at practicals, final test (min. 50 %)
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Doporučená literatura
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Allesina S, Wilmes M (2019) Computing Skills for Biologists - A Toolbox. Princeton University Press.
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Haddock SHD, Dunn CW (2010) Practical Computing for Biologists. Sinauer Associates https://swcarpentry.github.io/shell-novice/ https://swcarpentry.github.io/r-novice-gapminder/.
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