Teaching

Course of work with molecular data in R 2017

Submitted by vojta on Tue, 10/11/2016 - 14:38

R is nowadays probably the most powerful tool for statistics of all types. There are plenty of modules available for work with molecular data. Those will be introduced during the course. Previous knowledge of R is useful, but not necessary. If there is at least one participant not speaking Czech, the course will be in English.

Course of work in Linux command line not only for MetaCentrum 2017

Submitted by vojta on Tue, 10/11/2016 - 11:57

Don’t be afraid of command line! It is friendly and powerful tool. Practically identical is command line also in Mac OS X, BSD and another UNIX-based systems, not only in Linux. Basic knowledge of Linux is not conditional. Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like Mac OS X. Knowledge of Linux/UNIX is useful e.g. for working with molecular and another data. MetaCentrum is service provided by CESNET allowing access to huge computational capacity.

Course of work with molecular data in R 2016

Submitted by vojta on Thu, 11/26/2015 - 18:35

R is nowadays probably the most powerful tool for statistics of all types. There are plenty of modules available for work with molecular data. Those will be introduced during the course. Previous knowledge of R is useful, but not necessary. If there is at least one participant not speaking Czech, the course will be in English.

Course of work in Linux command line not only for MetaCentrum 2016

Submitted by vojta on Thu, 11/26/2015 - 18:25

Don’t be afraid of command line! It is friendly and powerful tool. Practically identical is command line also in Mac OS X, BSD and another UNIX-based systems, not only in Linux. Basic knowledge of Linux is not conditional. Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like Mac OS X. Knowledge of Linux/UNIX is useful e.g. for working with molecular and another data. MetaCentrum is service provided by CESNET allowing access to huge computational capacity.