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 […]
The goal of the workshop is to enable the participants to submit and rationally evaluate results of the AlphaFold protein structure predictions. The class will cover the basic principles of […]
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 […]
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 […]
Daniella Meeker, Associate Professor of Biomedical Informatics & Data Science, Chief Research Information Officer, Yale New Haven Health System Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
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 […]
Dmitri Petrov, Professor, Stanford University Real and Not Just Hopeful Monsters: Evolution by Very Large Jumps Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
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 […]
