Over the past decade, single-cell sequencing and analysis have emerged as essential tools for modern biological research. These approaches unlock high-resolution insights into complex systems and have transformed fields such as immunology, developmental biology, and cancer research.
Mixing classroom-based theory with practical laboratory sessions, at the Francis Crick Institute in London, this five-day course introduces the cutting-edge technologies and analytical frameworks driving the single-cell revolution.
Participants will gain hands-on experience with a complete end-to-end workflow: from generating single-cell data using 10x Genomics platform and protocols, to performing data analysis using Python’s scverse ecosystem.
The course is designed to equip learners with the most relevant and in-demand toolkit to enhance their experimental design and scientific discovery – from bench to bioinformatics.
Participants are expected to have experience of molecular biology methodologies, but no experience of single-cell analysis is required. They should be comfortable with basic Python programming. Participants must also bring their own laptops and chargers to use.
Before the event, attendees will get access to a short online course covering the core Python principles that underpin key Scanpy concepts, helping you make the most of the in-person training. Completion of this course is required to ensure everyone starts with a shared foundation.
This technical training course has been developed by experts from the Crick’s Genomics and Bioinformatics and Biostatistics scientific technology platforms (STPs).
By the end of the course, participants will be able to:
- Describe the technological landscape and key applications of single-cell sequencing
- Design and plan single-cell experiments suited to specific biological questions
- Perform sample preparation and assess sample quality using standard QC practices
- Execute single-cell capture using the 10x Genomics Chromium platform
- Prepare high-quality single-cell libraries for sequencing
- Evaluate data quality and troubleshoot common issues in single-cell workflows
- Apply Cell Ranger to process sequencing data and interpret the quality control outputs
- Analyse single-cell transcriptomic data using scanpy
- Demonstrate awareness of advanced single-cell data analysis tools within the scverse Python ecosystem
Prerequisite knowledge and skills
Single-cell techniques are advanced experimental workflows. To gain the most benefit from this training, participants are strongly recommended to have prior hands-on experience with core molecular biology techniques, including:
- Master mix calculations and preparation
- PCR setup
- Single- and multi-channel pipetting (P2, P10, P20, P200, P1000)
Candidates are required to apply by completing the form below. We will review applications in two rounds (w/c 14 September and 5 October). Successful applicants who have applied before each deadline will be notified shortly after.
This training is approved by the Royal Society of Biology. Training course approval is an independent review process that recognises relevant, high-quality training. Upon completion of this course, attendees can claim 138 CPD points.
By applying and/or registering to this course, you acknowledge that you have read, understood, and agreed to the Terms and Conditions.