UCSC Genome Browser advanced topics
Tutorial and training materials by OpenHelix
|Learn to use the advanced features, including the Table Browser and custom tracks, of the UCSC Genome Browser with this free tutorial, sponsored by UCSC Genome Bioinformatics Group. The UCSC Genome Browser provides a way to query and extract the data from many genomes, with extensive annotation for various data types including known genes, predicted genes, SNPs, comparative multi-species analysis and much more. Obtain large lists of genes, SNPs, or any other features of interest, or display your own data, using the tools underlying the UCSC Genome Browser. This tutorial is the second in a series of tutorials on the UCSC Genome Browser and explores many aspects beyond the basic search and analysis functions covered in the introductory tutorial.|
- to perform advanced searches of the UCSC genome databases
- to export and download large quantities of targeted data
- to create custom tracks resulting from your advanced searches
- to create custom annotation tracks of your data to share with others
- to use the Genome Graphs tool for visualizing GWAS data
This tutorial is a part of the tutorial group UCSC Tutorials. You might find the other tutorials in the group interesting:
Recent BioMed Central research articles citing this resource
Kalashikam Rao Rajender et al., Leptin gene promoter DNA methylation in WNIN obese mutant rats. Lipids in Health and Disease (2014) doi:10.1186/1476-511X-13-25
Silverman M Ian et al., RNase-mediated protein footprint sequencing reveals protein-binding sites throughout the human transcriptome. Genome Biology (2014) doi:10.1186/gb-2014-15-1-r3
Liu Hui et al., Detection of type 2 diabetes related modules and genes based on epigenetic networks Selected articles from the Twelfth Asia Pacific Bioinformatics Conference (APBC 2014): Systems Biology The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014). BMC Systems Biology (2014) doi:10.1186/1752-0509-8-S1-S5
Li Guangxin et al., Exome sequencing identified new mutations in a Marfan syndrome family. Diagnostic Pathology (2014) doi:10.1186/1746-1596-9-25
Miller A Jeremy et al., Improving reliability and absolute quantification of human brain microarray data by filtering and scaling probes using RNA-Seq Transcriptomic methods. BMC Genomics (2014) doi:10.1186/1471-2164-15-154
More about the resource:
The UCSC Genome Browser, sometimes referred to as the "Golden Path" browser, offers a well-organized and user-friendly view of the human genome, and dozens of other genomes as well. The official genomic sequence is supplemented with many other data types which are useful to researchers: expression, variation, comparative genomics, and many more. The data can be accessed with simple text or sequence searches, or probed in depth with customized queries.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
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