Phylogeny

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.

Non-coding repetitive DNA (repeatome) is an active part of the nuclear genome, involved in its structure, evolution and function. It is dominated by transposable elements (TEs) and satellite DNA and is prone to the most rapid changes over time. The TEs activity presumably causes the global genome reorganization and may play an adaptive or regulatory role in response to environmental challenges.

Practical course of phylogenomic methods focused on Hyb-Seq NGS method. The Hyb-Seq method combines target enrichment and genome skimming of the genome. The course covers the theory, discussion of the newest papers from the field, probe design, laboratory and computer part. Several methodological approaches to data analysis, from raw data to species tree analysis, are demonstrated within the course. The lab part includes NGS library preparation (using sonicator) and enrichment.

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.

Custom probe design for target enrichment in phylogenetics is tedious and often hinders broader phylogenetic synthesis. The universal angiosperm probe set Angiosperms353 may be the solution. Here, we test the relative performance of Angiosperms353 on the Rosaceae subtribe Malinae in comparison with custom probes that we specifically designed for this clade. We then address the impact of bioinformatically altering the performance of Angiosperms353 by replacing the original probe sequences with orthologs extracted from the Malus domestica genome.

Set of scripts to run STRUCTURE in parallel on computing grids like MetaCentrum. Scripts are designed for grids and clusters using PBS Pro, but can be easily adopted for another queue system.

Parallel evolution provides powerful natural experiments for studying repeatability of evolution and genomic basis of adaptation. Well-documented examples from plants are, however, still rare, as are inquiries of mechanisms driving convergence in some traits while divergence in others. Arabidopsis arenosa, a predominantly foothill species with scattered morphologically distinct alpine occurrences is a promising candidate. Yet, the hypothesis of parallelism remained untested.

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 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.

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.