Tutorial describing the basic search and navigation features of the Allen Mouse Brain Atlas

Tutorial describing the basic search and navigation features of the Allen Developing Mouse Brain Atlas

Tutorial describing the basic features of the Brain Explorer® 3-D viewer for the mouse brain

This tutorial demonstrates how to use the differential search feature of the Allen Mouse Brain Atlas to find gene markers for different regions of the brain and to visualize this gene expression in three-dimensional space. Differential search is also available for the Allen Developing Mouse Brain Atlas and the Allen Human Brain Atlas.

This lecture will provide an overview of neuroimaging techniques and their clinical applications.

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.

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. 

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.

This lecture will provide an overview of neuroimaging techniques and their clinical applications

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

The lecture focuses on rationale for employing neuroimaging methods for movement disorders

How genetics can contribute to our understanding of psychiatric phenotypes.

GeneWeaver is a web application for the integrated cross-species analysis of functional genomics data to find convergent evidence from heterogeneous sources. The application consists of a large database of gene sets curated from multiple public data resources and curated submissions, along with a suite of analysis tools designed to allow flexible, customized workflows through web-based interactive analysis or scripted API driven analysis. Gene sets come from multiple widely studied species and include ontology annotations, brain gene expression atlases, systems genetic study results, gene regulatory information, pathway databases, drug interaction databases and many other sources. Users can retrieve, store, analyze and share gene sets through a graded access system. Analysis tools are based on combinatorics and statistical methods for comparing, contrasting and classifying gene sets based on their members.

This tutorial shows how to use the UCSC genome browser to find a list of genes in a given genomic region.

This tutorial shows how to find all the single nucleotide polymorphisms upstream from genes using the UCSC Genome Browser.

This tutorial demonstrates how to find all the single nucleotide polymorphisms in a gene using the UCSC Genome Browser.

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.

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.

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.