Xiaohongshu
- Hosted by Genetics Society
LOCATION: IOE Bedford Way (20) - 429 - PC Lab 1
We are excited to introduce our special workshop-style Journal Club focused on Computational Biology and Bioinformatics with hands-on exercise 💻!
As biological datasets grow larger and more complex, skills in data analysis , workflow management , and reproducible research are becoming essential💡. In this session, we will explore how researchers use single-cell RNA sequencing and automated computational pipelines to transform raw data into meaningful biological insight.
We are excited to welcome 2 PhD students from the Functional Genomics Lab at the MRC Laboratory of Medical Sciences, Imperial College London, working at the cutting edge of cancer genomics and computational biology.
Ms. Lumi Ruje will introduce her research on gene regulation and cellular dynamics 🧬, highlighting how single-cell RNA sequencing is used to investigate complex biological systems and disease processes.
Ms. Shev Acharya will provide an introduction to computational workflows in genomics, drawing on her experience in disease and large-scale sequencing analyses. She will also introduce Snakemake 🐍, a workflow management system widely used to build reproducible and scalable data analysis pipelines.
🧪 Hands-On Workshop: Analysing Single-Cell RNA-seq Data
You will get the chance to work through a guided scRNA-seq workflow using a mini dataset and annotated script. The workshop will cover:
* Preprocessing and quality control of single-cell RNA-seq data
* Differential gene expression analysis
* Pseudotime trajectory analysis to study cellular progression
By the end of the session, you’ll get a basic understanding of how single-cell RNA-seq data is processed, analysed, and interpreted in real research settings, and how computational tools are used to make these workflows reproducible and scalable.
This session is designed to be beginner-friendly and accessible , so no prior coding experience is required. Whether you're interested in cancer genomics, computational biology, or just curious about how data is handled in modern research, you’re very welcome to come along.
Looking forward to seeing you guys there!