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Video Tutorials for Computational Genomics
YouTube videos by Laura Harris on a variety of genomics and bioinformatics topics.
Listed in Teaching Materials | resource by group Video Education Faculty Network for Biological Big Data Education and Research
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Version 1.0 - published on 12 Apr 2018 doi:10.25334/Q4X98V - cite this
Licensed under CC Attribution-ShareAlike 4.0 International according to these terms
Description
This video is a product of the Genomics Videos FMN (https://qubeshub.org/groups/genomicsvideos) with the goal of developing online video tutorials to enhance computational genomics education.
Contents
How to create "funny symbols" (aka math / statistical notation) in Microsoft Word / Office (v1.0)
YouTube video on using statistical notation in Microsoft Word.
Brief introduction to how gene set enrichment analysis works.
A walk through on how to find protein sequences and use BLASTP and PSI-BLAST in NCBI.
How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute
An overview of some of the databases within NCBI and how to get FASTA sequences.
How to determine physiochemical features of proteins using ExPasy Protpram, SOSUI server, and PSortB programs.
Simple Heat Maps with Morpheus (v1.0)
Learn how to load an Excel file of raw data into Morpheus and change between relative and global scales.
Brief description of UniProt and its databases and features
How to use Phrye2 and 3DLigandSite to computationally predict protein and active site structure and binding partners (substrates/cofactors/coenzymes).
What is bioinformatics? (v1.0)
Short description of what bioinformatics is, it's potential applications, and what it is not.
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Cite this work
Researchers should cite this work as follows:
- Harris, L. (2018). Video Tutorials for Computational Genomics. Video Education Faculty Network for Biological Big Data Education and Research, QUBES Educational Resources. doi:10.25334/Q4X98V
Tags
Video Education Faculty Network for Biological Big Data Education and Research
This publication belongs to the Video Education Faculty Network for Biological Big Data Education and Research group.
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