Teaching

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Their representative selection will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more. The aim is to teach students how to analyze molecular data in R programming language, introduce available packages for their analysis and practical trying out to work with own or provided data.

Don’t be afraid of command line! It is friendly and powerful tool allowing to process large data and automate tasks. Practically identical is command line also in Apple macOS, BSD and another UNIX-based systems, not only in Linux. The course is designed for total beginners as well as intermediate advanced students. The only requirement is an interest (or need) to work in command line, typically on Linux computing server.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Those will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more.

Previous knowledge of R is useful, but not necessary. At least basic knowledge of molecular biology is required, previous knowledge about any methods how to analyse DNA data is recommended.

Don’t be afraid of command line! It is friendly and powerful tool allowing to process large data and automate tasks. Practically identical is command line also in Apple macOS, BSD and another UNIX-based systems, not only in Linux. The course is designed for total beginners as well as intermediate advanced students. The only requirement is an interest (or need) to work in command line, typically on Linux computing server.

Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like macOS.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Those will be introduced during the course. The course will be taught from October 19^th to Friday 23^rd (see below). The course will be exclusively on-line, there will be no personal meeting.

Intensive 4-days (5^th day is not compulsory, but is open for any discussion, if there would be interest) course to learn all theory about HybSeq and practically learn how to analyze HybSeq data, how to solve all problems, and how to evaluate differences among gene trees. Important part is enough time to discuss everything, including practical problems and projects of individual participants.

Don’t be afraid of command line! It is friendly and powerful tool allowing to process large data and automate tasks. Practically identical is command line also in Apple osX, BSD and another UNIX-based systems, not only in Linux. The course is designed for total beginners as well as intermediate advanced students. The only requirement is an interest (or need) to work in command line, typically on Linux computing server.

Course will be taught in Linux, but most of the point are applicable also for another UNIX systems like osX.

R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Those will be introduced during the course.

The course contains theory of used methods, tutorials with test data, tasks for individual work of participants, and more.

Previous knowledge of R is useful, but not necessary. At least basic knowledge of molecular biology is required, previous knowledge about any methods how to analyse DNA data is recommended.

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.

Don’t be afraid of command line! It is friendly and powerful tool. Practically identical is command line also in Apple osX, 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 osX. 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.