R is a powerful tool for statistical analysis and visualization in bioinformatics. This training course will provide you with a solid foundation in R, focusing on data handling, statistical analysis, and graphical representation of biological data. 

Biological networks provide insights into the complex interactions within biological systems. This module will introduce you to different types of biological networks and the methods used to analyze them.

This training offers a foundational overview of the Linux operating system, emphasizing essential commands, file management, and system navigation. Tailored for beginners, particularly biologists, it aims to build confidence in using Linux for research and computational tasks in bioinformatics.

This training offers an introduction to Next-Generation Sequencing (NGS) data analysis, covering essential workflows, tools, and techniques. It is designed to help researchers process and interpret NGS data efficiently for genomic studies.

This training delves into various data visualization techniques tailored for biological research. Participants will learn how to effectively present complex biological data using different tools and methods for clearer insights and communication.

This training introduces the basics of text mining, focusing on extracting meaningful patterns and information from large sets of textual data. It is designed for beginners, particularly in the life sciences, to help them leverage text analysis in their research.

This training provides an overview of scientometrics, focusing on measuring and analyzing research impact throughublications, and other metrics. Ideal for beginners, it helps researchers understand the tools and techniques used to evaluate scientific output.