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The Saved Sessions feature of the Browser has been around for quite some time, but many of our users have not made full use of it. It offers a great way to keep track of your thinking on a particular topic.

Difficulty level: Beginner
Duration: 7:16

This tutorial demonstrates the visibility controls on the Genome Browser, showing the affect on BED tracks, wiggle tracks and Conservation tracks. It also discusses supertracks and composite tracks.

Difficulty level: Beginner
Duration: 14:30

This tutorial describes the isPCR tool and demonstrates how to use it for predicting the size and location of PCR products and visualizing the genomic location on the genome. The tool operates on DNA templates for all organisms and DNA or RNA on human and mouse. It also demonstrates how to use the Browser to obtain DNA sequences from the genome.

Difficulty level: Beginner
Duration: 8:01

This tutorial describes the dbSNP resources in the UCSC Genome Browser, including display conventions and the subdivision of the data into several useful subset tracks, especially the Common SNPs. There is also a discussion about changes to the genome assemblies from one version to another, and of two ways to navigate between different assemblies of the human genome in the Browser.

Difficulty level: Beginner
Duration: 17:41

This tutorial demonstrates the Data Integrator, a tool that allows combination and intersection of data from up to five primary tables. In the example, data are extracted showing SNPs, genes and phenotypes from a genomic region.

Difficulty level: Beginner
Duration: 6:24

This tutorial shows how to obtain coordinates of genes, then input those coordinates into the Genome Browser for display. The regions do not have to be continuous in the genome.

Difficulty level: Beginner
Duration: 9:04

This tutorial demonstrates the Multi-Region exon-only display mode of the UCSC Genome Browser.

Difficulty level: Beginner
Duration: 5:15

This tutorial demonstrates viewing alternate haplotypes with the UCSC Genome Browser.

Difficulty level: Beginner
Duration: 7:04
Difficulty level: Beginner
Duration: 3:18

This tutorial demonstrates how to get the coordinates and sequences of exons using the UCSC Genome Browser.

Difficulty level: Beginner
Duration: 8:11

This tutorial will demonstrate how to locate amino acid numbers for coding genes using the UCSC Genome Browser.

Difficulty level: Beginner
Duration: 8:01

This tutorial will demonstrate how to find the tables in the UCSC database that are associated with the data tracks in the Genome Browser graphical viewer.

Difficulty level: Beginner
Duration: 8:39

This tutorial shows how to navigate between exons of a gene using the UCSC Genome Browser.

Difficulty level: Beginner
Duration: 4:24

Lecture on functional brain parcellations and a set of tutorials on bootstrap agregation of stable clusters (BASC) for fMRI brain parcellation which were part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Advanced
Duration: 50:28
Speaker: : Pierre Bellec

Introduction to reproducible research. The lecture provides an overview of the core skills and practical solutions required to practice reproducible research. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner
Duration: 1:25:17
Speaker: : Fernando Perez
Course:

BioImage Suite is an integrated image analysis software suite developed at Yale University. BioImage Suite has been extensively used at different labs at Yale since about 2001.

Difficulty level: Beginner
Duration: 01:47
Speaker: : BioImage Suite
Course:

Fibr is an app for quality control of diffusion MRI images from the Healthy Brain Network, a landmark mental health study that is collecting MRI images and other assessment data from 10,000 New York City area children. The purpose of the app is to train a computer algorithm to analyze the Healthy Brain Network dataset. By playing fibr, you are helping to teach the computer which images have sufficiently good quality and which images do not. 

Difficulty level: Beginner
Duration: 02:26
Speaker: : Ariel Rokem
Course:

Neuronify is an educational tool meant to create intuition for how neurons and neural networks behave. You can use it to combine neurons with different connections, just like the ones we have in our brain, and explore how changes on single cells lead to behavioral changes in important networks. Neuronify is based on an integrate-and-fire model of neurons. This is one of the simplest models of neurons that exist. It focuses on the spike timing of a neuron and ignores the details of the action potential dynamics. These neurons are modeled as simple RC circuits. When the membrane potential is above a certain threshold, a spike is generated and the voltage is reset to its resting potential. This spike then signals other neurons through its synapses.

Neuronify aims to provide a low entry point to simulation-based neuroscience.

Difficulty level: Beginner
Duration: 01:25
Speaker: : Neuronify