Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

blogpost for Alan Rubin talk today (18.04.2024) in Freiburg #2515

Merged
merged 3 commits into from
May 13, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
17 changes: 17 additions & 0 deletions content/news/2024-04-18-Alan-Rubin-Talk/index.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
---
title: "Talk by Alan Rubin in Freiburg"
date: "2024-04-18"
authors: Engy Nasr, Polina Polunina
tease: "Bioinformatics club talk by Alan Rubin: Analyzing and Sharing Data from High-throughput Mutagenesis Experiments"
subsites: [all-eu]
---

Modern functional genomics techniques, like deep mutational scanning (DMS), have revolutionized genetic research, enabling scientists to evaluate the impact of thousands of genetic variants simultaneously. Alan Rubin, from Walter and Eliza Hall Institute of Medical Research in Melbourne, Australia, visited Freiburg Galaxy on 18.04.2024 and shared insights into these cutting-edge methods in a talk **Analyzing and Sharing Data from High-throughput Mutagenesis Experiments** given within [Bioinformatics club](https://bioinformatik-club.imbi.uni-freiburg.de/en/node/140).

Alan Rubin delved into Multiplexed Assays of Variant Effect (MAVEs), highlighted the challenges and opportunities they present for bioinformaticians and computational biologists.

A significant aspect of Alan's discussion was the development of analysis methods and software tailored for MAVE data. He emphasized the importance of these tools in deciphering the wealth of information generated by these experiments.

Moreover, Alan shed light on MaveDB, a vital resource for the scientific community. This community-driven database provides access to hundreds of datasets spanning diverse genes and experimental systems, facilitating collaboration and data sharing.

In summary, the talk underscored the transformative potential of MAVE techniques in advancing our understanding of genetics and their applications in diverse fields, from basic research to clinical practice.