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Single Cell Sequencing - SCS in Bioinformatics
Type of event
- Live-Online
Target audience
Course contents
Single Cell Sequencing
Insights into single-cell analysis - compactly explained
Watch the video to find out how bioinformatics methods help to visualize cell heterogeneity - from raw data processing to the interpretation of results.
Next course date: 22.06.2026 - 26.06.2026
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Our training program is designed for professionals, scientists, researchers, and doctoral candidates working in the Life Sciences.
As a practitioner, you will gain hands-on expertise in cutting-edge scRNA-seq analysis tools and workflows, allowing you to stay competitive in the rapidly evolving biotechnology and healthcare industries. You will learn practical approaches to process and interpret complex single-cell data, which can directly impact diagnostics, therapeutics, or other applications in your professional practice. In just one week, you will acquire actionable knowledge that can be immediately applied to your ongoing or future projects, boosting productivity and results.
As a scientist, you will acquire advanced analytical techniques to explore cellular heterogeneity, identify novel biomarkers, and uncover key biological mechanisms while accelerating your research output. During our course, you will be exposed to the innovative insights of single-cell transcriptomics and bioinformatics, sparking new ideas and methodologies for your research projects.
As a student or doctoral candidate, you will enhance your academic expertise and accelerate your career growth by acquiring essential bioinformatics skills for next-generation sequencing (NGS) data analysis, with a special focus on single-cell datasets. You’ll develop the confidence and independence to work with real-world single-cell data, applying sophisticated analytical techniques effectively. These highly sought-after bioinformatics capabilities are vital qualifications that open doors to prominent research roles and career opportunities across both academia and industry.
Across all roles, this course provides a focused, intensive opportunity to gain knowledge from experienced instructors, stay ahead in a competitive field, and build confidence in working with sophisticated technologies. It’s not just a learning experience—it’s an investment in your professional growth and research journey.
What requirements do I need?
To make the most of our training program, participants should ideally meet the following prerequisites:
- Understanding of molecular biology and genetics, including concepts like gene expression, RNA, and DNA, and familiarity with the role of RNA sequencing in studying cells
- Basic ability to work with command-line interfaces (bash) and experience with the programming language R
- Familiarity with statistical concepts like mean, variance, and p-values
- Exposure to sequencing technologies and bioinformatics pipelines (advantageous but not mandatory)
What will you achieve?
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.
What topics does the training course cover?
Module 1: Introduction to Single-Cell RNA Sequencing
- Overview of scRNA-seq technology and its applications
- Comparison with bulk RNA-seq and its advantages
- Understanding experimental workflows: sample preparation, library construction, and sequencing
Module 2: Data Processing and Quality Control
- Introduction to sequencing data formats (e.g., FASTQ files)
- Preprocessing steps: demultiplexing, alignment, quantification, and generation of count matrices
- Quality control metrics and filtering techniques to identify low-quality cells and genes
Module 3: Dimensionality Reduction and Clustering
- Techniques for reducing high-dimensional data (e.g., t-SNE, UMAP, PCA)
- Identifying cell clusters and understanding their biological relevance
- Hands-on implementation using Seurat, an R toolkit for single-cell transcriptomics
Module 4: Annotation of Cell Types
- Strategies to annotate clusters with known cell types using marker genes
- Introduction to automated cell type annotation tools
- Single Cell Expression Atlas
Module 5: Advanced Topics
- Trajectory inference to study dynamic processes with Monocle3
- Integration of multi-omics data
- Dealing with batch effects and data integration methods
Course data
Price
for self-payers or corporate customers
1.300,00 €, VAT exempt
5 live online course days with a total of 40 teaching units of 45 minutes each, max. 12 participants, Course language: English
Course dates
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Nassim El Masri
Christoph Knorr
Contact person
Nassim El Masri
Christoph Knorr
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