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 […]
This workshop will cover the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. Different Library Preparation Techniques (DNA-seq, ChIP-seq, RNA-seq, Methyl-seq) are explained the first and second day in […]
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be […]
Through this seminar, attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. These tests and the underlying bioinformatical lesson about resampling will be […]
This workshop (UNIX Command Line II) continues Workshop W1: UNIX Command Line I and uses the Hoffman2 campus computing cluster. The focus is on features that make dealing with large […]
This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis […]
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 […]
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 […]
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 […]
Mergeomics is a computational tool designed to elucidate the underlying pathways, networks, and key regulators of complex diseases by integrating multi-omics data (genomics, transcriptomics, epigenomics, proteomics, etc). With use of […]
