Biotech und Life Science

You will learn statistics and programming for the interface between biosciences and bioinformatics. This includes evaluation methods such as sequence analysis, next generation sequencing (NGS), the visualization of structures like pymol, the use of molecular biology databases like NCBI and Biopython and the application of statistical methods with R / R Studio. You will round off your profile with elements of programming. This includes writing small scripts using the Python and R programming language.

You will learn statistics and programming for the interface between biosciences and bioinformatics. This includes evaluation methods such as sequence analysis, next generation sequencing (NGS), the visualization of structures like pymol, the use of molecular biology databases like NCBI and Biopython and the application of statistical methods with R / R Studio. You will round off your profile with elements of programming. This includes writing small analysis scripts using the Python and R programming language.

You will learn statistics and programming for the interface between biosciences and bioinformatics. This includes evaluation methods such as sequence analysis, next generation sequencing (NGS), the visualization of structures like pymol, the use of molecular biology databases like NCBI and Biopython and the application of statistical methods with R / R Studio. You will round off your profile with elements of programming. This includes writing small analysis scripts using the Python and R programming language.

Immerse yourself in the exciting world of single-cell RNA-sequencing data analysis with our intensive one-week bioinformatics course! Designed for researchers, graduate students, and professionals, our comprehensive online program covers not only the fundamentals of single-cell sequencing but also offers an in-depth exploration of the latest methodologies and tools in the field. Throughout the week, you will master cutting-edge techniques to process, analyze, and interpret complex single-cell transcriptomic data, gaining valuable insights into cellular heterogeneity and gene expression patterns.

Our instructors will guide you through each step, combining interactive lectures with hands-on workshops to ensure a practice-oriented learning experience. In addition to understanding the concepts of single-cell RNA-seq, you will also learn to navigate prominent tools and software platforms, empowering you to tackle real-world challenges and accelerate your research endeavors. Whether you’re looking to build your skills, advance your career, or contribute to groundbreaking discoveries, this course is your gateway to mastering single-cell RNA sequencing data analysis.

Ms Ioana Lemnian, diploma in bioinformatics and Head of Bioinformatics at PathoNext GmbH, is our expert instructor on the short web seminar and SCS course in October.

You will learn statistics and programming for the interface between biosciences and bioinformatics. This includes evaluation methods such as sequence analysis, next generation sequencing (NGS), the visualization of structures like pymol, the use of molecular biology databases like NCBI and Biopython and the application of statistical methods with R / R Studio. You will round off your profile with elements of programming. This includes writing small analysis scripts using the Python and R programming language.