Search for tag: "bigtap"

This is a video demonstration on how to set up a Windows-based PC for using R and R Studio. It was used for the 2017 BigTap Summer boot camp as precourse material.

The was a precourse exercise for the 2017 BigTap Boot camp. It explains how to set up an Apple personal computer for using R and R studio.

This is an overview of the topics to be covered in the Purdue Summer boot camp on big data training for biomedical researchers.

In this video we explain the concepts for searching DNA to find transcription factor binding sites. This includes a discussion of databases and tools as well as a demonstration of a simple tool…

In this video we use IGV to visualize DNA-seq data. The demonstration uses date from the ENCODE project as well as BED file made from supplemental data in a published paper.

This video introduce why omics data are important for biomarker discovery.

This video explains the concept of different type of biomarkers and the clinical application of these biomarkers with examples.

This video is an introduction about the background and significance of biomarker discovery, esp. why the biomarker is the key to precision medicine.

This video is a brief introduction for the learning objectives of the next two units.

This video has two purposes. First, it is an introduction to the Integrative Genomics Viewer (IGV). Afterwards we demonstrate how IGV can be used to visualize RNA-seq data.

This video presents an overview of the topics that will be covered in Unit 2 of the BigTap online course.

This video explains how Jupyter notebooks work and how to use them. It is an essential prelude to the BigTap On-line course.

This video provides an overview of how to open, navigate, edit, save, restart, and close Jupyter notebooks for the BigTap on-line course.

This is a brief overview of the four major course resources that students will use in the BigTap on-line course.

This video introduces the GenePattern repository of user friendly bioinformatic tools. Afterwards we use GenePattern to make and visualize hierarchical clusters and heatmaps using trancriptome data.