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 and ask how to test various hypotheses, introducing the relevant methods along the way. There will be homework assignments each night to solidify the concepts…

The workshop will cover experimental approaches to protein interaction determination; processing and presentation of interaction data available from online resources, and the role of interaction data in the interpretation of large scale datasets.

The Genome Browser is a widely used visualization tool giving access to the genomes of human and more than one hundred other animals. Dr. Kuhn’s responsibilities include identifying important datasets for inclusion into the Browser, enabling researchers through teaching the Genome Browser in workshops and seminars and learning from them how to improve the Browser.

Imaging datasets are becoming easier to acquire and more difficult to analyze. This workshop will provide an introduction to some of the computational tools available for manipulating images and extracting quantitative information from them. The main focus of this workshop will be on cellular imaging however much of the techniques are broadly applicable to other data types. We will cover image conversion and handling in python, different methods for normalizing, aligning and segmenting images and finally work on applying these…

This workshop aims to provide an entry-level introduction to the basic concepts and data analysis tools for single-cell RNA-seq techniques. It will help the attenders obtain a better idea of the important applications of scRNA-seq, the important considerations in designing a scRNA-seq experiment, the major differences between popular technical platforms, and the main steps in preliminary data analysis. It can serve as a starting point to conceive a scRNA-seq study or to analyze a scRNA-seq dataset.  

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 workshop will be centered on hands-on tutorial that will guide students in processing the data from raw reads through read counts using a real case…