Decode Cellular Heterogeneity Through Advanced Single-Cell Transcriptomics and Computational Analysis
Single-cell RNA sequencing (scRNA-seq) has transformed genomics by enabling researchers to investigate gene expression at the resolution of individual cells, uncover cellular heterogeneity, identify rare cell populations, and understand developmental and disease mechanisms. This international workshop provides comprehensive training in scRNA-seq data analysis using R and Python through industry-standard computational workflows. Participants will gain hands-on experience with widely used bioinformatics tools, perform analyses on real-world public datasets, and learn best practices for interpreting single-cell transcriptomic data for research and precision medicine applications.
To equip participants with the theoretical knowledge and practical skills required to analyze single-cell RNA sequencing (scRNA-seq) data using R and Python. The workshop focuses on modern computational workflows for quality control, clustering, cell type annotation, differential expression analysis, and biological interpretation using state-of-the-art bioinformatics tools and publicly available datasets.
Hands-on 1: Import and explore publicly available scRNA-seq datasets using Seurat and Scanpy.
Hands-on 2: Perform quality control, filtering, normalization, and feature selection using R and Python.
Hands-on 1: Perform clustering, visualize cell populations, and identify marker genes.
Hands-on 2: Annotate cell types and conduct differential gene expression analysis using Seurat and Scanpy.
Hands-on 1: Perform trajectory analysis and integrate multiple scRNA-seq datasets.
Hands-on 2: Generate a complete single-cell analysis report with publication-quality visualizations and AI-assisted biological interpretation.
This workshop is designed for Undergraduate and Postgraduate Students, Ph.D. Scholars and Research Fellows, Faculty Members and Academicians, Bioinformatics and Computational Biology Professionals, Genomics, Transcriptomics, and Biomedical Researchers, Clinical Researchers, Biotechnology and Pharmaceutical Industry Professionals, Data Scientists working in Healthcare and Life Sciences, and Researchers interested in Precision Medicine and Systems Biology who wish to enhance their knowledge of modern computational approaches and next-generation therapeutics in diabetes research and drug discovery.
October 1, 2026
IST 3:30 PM
October 1, 2026 – October 3, 2026
IST 5:00 PM
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
with Abhimanyu
