BIO-SCS-2026-02 | Single Cell Sequencing - SCS in Bioinformatics
Datum und Uhrzeit
Von 22.06.2026 - 26.06.2026
08:30 - 15:30
Preis pro Seminar
1300,00 €MwSt. frei
Dauer
5 Tage
Trainer/-in
Ioana Lemnian
Teilnehmer
Max. 12
Fragen?
Inhalt
What do you learn?
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.
What do you achieve?
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.
Duration / Seminar schedule
The live online seminar runs from 8:30 a.m. to 3:30 p.m. each day, with a total of one hour of breaks in between, over the course of five days.
Zielgruppe
Who is the training aimed at?
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.
Überblick
Topics and procedure
Module 1: Introduction to Single-Cell RNA Sequencing
Module 2: Data Processing and Quality Control
Module 3: Dimensionality Reduction and Clustering
Module 4: Annotation of Cell Types
Module 5: Advanced Topics
Voraussetzungen
Your qualification
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)