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 class. The third day, Quality Control steps of the starting input material and final libraries are performed in the Lab (TapeStation). Purification from Primer Dimers […]
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 a unique analysis challenge, and packages may not always work out-of-the-box. In this workshop, we will explore some popular computational tools to extract quantitative information […]
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 of use to most scientific disciplines. The course makes no assumptions about familiarity with traditional statistics – we will simply go through relatable experimental examples […]
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 files or large numbers of files or repetitive tasks easier. These include shell variables, substitutions, redirections, pipes, loops, conditionals, subshells, shell functions, and shell scripts. […]
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 using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME, including statistical analyses and functional analyses.
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 […]
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 […]
