We organise bioinformatic workshops for beginners and professionals focused on statistical data analysis in R, RNA sequencing data analysis, chromatographic data processing and analysis in non-commercial programs. Our workshops take place in Poznan, less than 270km from Berlin. It can be connected by highway, multiple trains and bus lines.

Our courses last one or two days. We can also organise our workshop in your company or lab according to your needs. If you are interested in individual training - contact us.

Upcoming workshops:

Introduction to R for the beginners (Poznań/2-days workshops)

This introduction is directed to people who have never had contact with programming in R. We will start with very basic issues that will persist during
a series of exercises. We invite academic staff, people from the banking and financial sector and anyone interested in acquiring skills in the R
language.

Date: TBA

Place: Poznan (city center)

Group: max. 10 students

Language: English

Lecturer: Adolfo Álvarez, Ph.D., a very experienced R expert.

Price: 399 EUR (+VAT).

Course content:

Introduction to R and RStudio

Basic operators in R, mathematical and statistical functions, R as a calculator

Basic objects in R: vectors, matrices, data frames, lists

Introduction to programming: loops, conditional statements, functions

Introduction to data analysis: basic descriptive statistics, statistical tests: t test, anova, tests for checking equality of variance, testing for
normal distribution

Introduction to R for the beginners (Poznań/2-days workshops)

This introduction is directed to people who have never had contact with programming in R. We will start with very basic issues that will persist during
a series of exercises. We invite academic staff, people from the banking and financial sector and anyone interested in acquiring skills in the R
language.

Date: TBA

Place: Poznan (city center)

Group: max. 10 students

Language: English

Lecturer: Adolfo Álvarez, Ph.D., a very experienced R expert.

Price: 399 EUR (+23% VAT).

Course content:

Introduction to R and RStudio

Basic operators in R, mathematical and statistical functions, R as a calculator

Basic objects in R: vectors, matrices, data frames, lists

Introduction to programming: loops, conditional statements, functions

Introduction to data analysis: basic descriptive statistics, statistical tests: t test, anova, tests for checking equality of variance, testing for
normal distribution

RNA-seq Data Analysis in R (Poznań/2-days workshop)

This course will start with a short introduction on the basics of R, and then we will present the specifics of
highthrouput RNA-seq analysis. Next, we will study the preliminary analysis of such data, i.e. quality analysis,
mapping, and preliminary filtration and normalization, and then we will proceed to higher-order analysis, i.e.
differential expression analysis, gene ontology. We provide practical knowledge supported by examples,
exercises and case study. The course aims to introduce the basics of analyzing big data sets such as NGS data.

Date: 27-28th March 2020 10:00-15:00

Place: Poznan (city center)

Group: max. 10 students

Language: English

Lecturer: Joanna Zyprych-Walczak, Ph.D.

Price: 399 EUR (+VAT).

Course content:

Brief introduction to R. Package dplyr.

Basic descriptive statistics: measures of central tendency, measures of dispersion, analysis of data distribution

Basic plots

Basics of data visualization: the ggplot2 package

Introduction to RNA-seq and Bioconductor

Quality analysis, mapping, counts

Chi-square independence tests

Basic statistical tests for NGS data: edgeR, deseq, limma.

GO and KEGG analysis

Visualization of results

Case study

RNA-seq Data Analysis in R (Poznań/2-days workshop)

This course will start with a short introduction on the basics of R, and then we will present the specifics of
highthrouput RNA-seq analysis. Next, we will study the preliminary analysis of such data, i.e. quality analysis,
mapping, and preliminary filtration and normalization, and then we will proceed to higher-order analysis, i.e.
differential expression analysis, gene ontology. We provide practical knowledge supported by examples,
exercises and case study. The course aims to introduce the basics of analyzing big data sets such as NGS data.

Date: 27-28th March 2020 10:00-15:00

Place: Poznan (city center)

Group: max. 10 students

Language: English

Lecturer: Joanna Zyprych-Walczak, Ph.D.

Price: 399 EUR (+VAT).

Course content:

Brief introduction to R. Package dplyr.

Basic descriptive statistics: measures of central tendency, measures of dispersion, analysis of data distribution

Basic plots

Basics of data visualization: the ggplot2 package

Introduction to RNA-seq and Bioconductor

Quality analysis, mapping, counts

Chi-square independence tests

Basic statistical tests for NGS data: edgeR, deseq, limma.

GO and KEGG analysis

Visualization of results

Case study

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