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Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring the abundances of mRNA molecules in cells and tissues while retaining information about their spatial locations. This workshop will introduce the basic concepts, major techniques, […]
This workshop aims to introduce the basic concepts and algorithms for single-cell RNA-seq analysis. It will help participants obtain a better idea of how to use scRNA-seq technology, from considerations in experimental design to data analysis and interpretation. This workshop can serve researchers who are interested in designing an scRNA-seq study or who have acquired […] |
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The workshop introduces Cytoscape (https://cytoscape.org/) – an open source platform for retrieval and visualization of complex biological interactions that are available from public interaction resources: The IMEx Consortium (https://www.imexconsortium.org/), STRING (https://string-db.org/) and BioGIRD (https://thebiogrid.org/). It covers querying for interactions data using built-in search interface, interaction data cleanup and visualization as well as overlying of the […] |
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This 3-day workshop (3 hours per day) introduces participants to the foundations and practical implementation of AI agents using large language models (LLMs) and LangChain. The course covers how LLMs reason, how retrieval-augmented generation (RAG) works, and how to extend models with tool use to automate tasks
This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with Python is necessary, and basic knowledge about ML workflows is preferred. At the end of this workshop, you WILL be comfortable with loading, inferencing and […] |
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RNA-seq I aims to provide an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). The workshop can serve also as a starting point to develop a gene expression project. This workshop is divided in three days that will cover major steps of processing RNA-seq. To facilitate learning, the […] |
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RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study based approach appropriate for Illumina read data (same as RNA-seq I).
This workshop will cover the basic principles involved in the applications mentioned above, such as pattern recognition, linear and non-linear regression and cluster analysis. The workshop will be oriented towards hands-on activities, starting from the basics of how to load and prepare biological datasets in a Python environment. |
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