Multi-omic data integration for microbiome research using scikit-bio
2024-07-12
·
1 min read
Led the training session covering sequence analysis workflows, data structures, and algorithms within scikit-bio, a fundamental Python library for biological omics data. The tutorial walked participants through workflow on using protein embeddings for sequence analysis within the library.
Authors
Valentyn Bezshapkin
(he/him)
MD, PhD Researcher in Bioinformatics
MD and PhD student in Bioinformatics at ETH Zürich, applying deep learning
and computational methods to decode the human gut microbiome. Building tools
that bridge metagenomics, machine learning, and clinical insights.