Fundamentals of transcriptomics data analysis
The “Fundamentals of transcriptomic data analysis” is a three-day intensive workshop with insightful lectures and hands-on practical workshops, carefully curated to ensure an engaging and enriching learning experience. This workshop is designed specifically for researchers, who have little to no prior experience in omics data analysis. The workshop with include basics of bulk RNA-sequencing, single cell RNA-sequencing and spatial RNA-sequencing with hands-on workshops on the analysis.
Overview
Transcriptomic data analysis has become an indispensable tool for researchers studying a wide range of biological phenomena. By examining gene expression patterns, we can unlock the secrets behind cellular processes, understand disease mechanisms, and even explore potential therapeutic targets. In this workshop, we take this excitement to a whole new level by placing a special emphasis on single cell and spatial transcriptomics—the cutting-edge frontiers of omics research.
Key Highlights
- Single Cell Transcriptomics Unveiled: Understand the principles and applications of single cell RNA sequencing, and learn how to harness this technology to unravel cellular heterogeneity.
- Spatial Transcriptomics in Focus: Delve into the world of spatial transcriptomics, uncovering its potential to decode tissue architecture and understand cell-to-cell interactions.
- Hands-On Practical Workshops: Get hands-on experience working with single cell and spatial transcriptomic datasets, using state-of-the-art bioinformatics tools and analysis pipelines.
- Personalized Guidance: Our instructors understand that everyone learns at their own pace. That’s why we provide personalized guidance, allowing you to get the most out of the workshop and address any specific questions you may have.
- Networking Opportunities: Connect with fellow researchers and share your research at the elevator pitches. The workshop provides an excellent platform for you to build your professional network and collaborate on future projects.
Format
The lectures will be available in a hybrid format while the hands-on workshops will take place only in-person.
Audience and Pre-requisites
This workshop is tailor-made for undergraduate and graduate students, postdoctoral researchers, and early-career scientists with little to no experience in omics data analysis. However, there are some pre-requisites to attend the workshop:
- Participants must have an introductory background in biology and/or statistics.
- Participants must be familiar with R.
- Participants are required to have a personal laptop/computer. The details on software/packages required will be sent to the selected participants.
- At the workshop, participants will be required to prepare 2-minute Elevator pitches to introduce themselves (and their research) to the group with a maximum of 2 slides. The slides can also be replaced with illustrations on a sketch board.
Date
25th to 27th October 2023
Location
Center of Molecular Life Sciences (ZMB), Kiel University
Am Botanischen Garten 11, 24118 Kiel
Registration
Submit a concise research abstract to secure your spot in our transformative workshop focused on transcriptomic data analysis. Highlight your research interests and anticipated takeaways from the workshop. Up to 20 participants will be accepted for the in-person workshop based on the abstracts. There is no limit for the online participation. While accommodation will be arranged by the organizers, please note that travel to and from Kiel will not be covered. However, a limited number of travel grants are available to participants who apply during registration, with decisions based on abstract submissions. Registrations for the in-person workshop are accepted only until 20th September 2023. Participants for the online lectures can register until 24th October 2023.
Contact
You can send your questions/enquiries to events@ikmb.uni-kiel.de.
