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๐ฉ๐ช Heidelberg ยท ๐ Data
Data engineering, analytics, databases. 5 upcoming in Heidelberg โ next in November 2026.
The last decade has witnessed a profound transformation in molecular biology, fueled by revolutionary technologies enhancing our ability to systematically and quantitatively measure molecules and cells. The use of genomics, proteomics, and imaging have become routine, generating vast amounts of high-resolution data characterizing biological systems across multiple scales. This technological leap p
Proteomic technologies are advancing rapidly, creating new opportunities to address pressing questions across diverse areas of biological research. Mass spectrometry is now widely accessible through core facilities and collaborative networks. However, analysis and interpretation of proteomic data remains a challenge, requiring dedicated strategies for the proper handling of large data sets.
This course provides a comprehensive overview of current metagenomic approaches for studying microbial communities, integrating experimental and computational methodologies within a single training framework. It covers the complete workflow, from environmental sampling and DNA extraction from diverse matrices (soil and water) to advanced sequencing and in silico data analysis.
Applications for this event are not open yet. If you are interested in receiving more information, please register your interest.
This course will teach biological researchers how to analyse biological data sets using open-source software.
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