MIG Workshop: Advanced methods for scRNA-seq data

Join us for an intensive one-day workshop designed to equip research students, postdocs and professional bioinformaticians with essential skills for analysing scRNA-seq data. Led by Dr Belinda Phipson (WEHI), Melody Jin (WEHI) and Dr Jiadong Mao (MIG), this hands-on workshop guides participants through a complete computational workflow. We will cover quality control and batch integration through to clustering, differential expression analysis using limma and edgeR and marker-based cell type annotation. For downstream analysis, you'll explore reference-based annotation with Φ-Space, differential cell proportion analysis with propeller and cell-specific gene regulatory network inference using NeighbourNet. Whether you're starting your first scRNA-seq project or looking to expand your analytical toolkit, this workshop offers practical, immediately applicable skills combining established methods with cutting-edge tools for modern single-cell analysis.

Lead Instructors: Dr Belinda Phipson (WEHI), Melody Jin (WEHI) and Dr Jiadong Mao (MIG)

Prerequisites: basic knowledge of R; some experience with scRNA-seq pipelines (e.g. Seurat)

Desirable: attendance at Xiaochen Zhang (MIG)’s workshop or any introductory workshop

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To secure your place in this workshop, the registration fee must be paid at the time of booking. This policy supports participant commitment and allows us to plan and allocate resources effectively.

Cancellations Made in Advance: If you need to cancel your registration, please notify us at least one week prior to the workshop start time. In this case, a full refund will be issued. Refunds will be processed within five business days.

No-Show Policy: If you do not attend the workshop and have not cancelled in advance, your registration fee will be non-refundable.

Late Cancellations: Cancellations made less than one week before the workshop will be considered a no-show, and the registration fee will not be refunded.

Illness or Exceptional Circumstances: If you are unable to attend due to illness or other exceptional circumstances, please contact us. Refunds may be granted at MIG’s discretion, on a case-by-case basis.

This policy is designed to ensure fairness to all participants and to support the smooth delivery of our workshops.

Thank you for your understanding.

If you have any questions or need assistance with your registration, please contact us at [email protected]

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