Analysis tools for researchers
Tutorial and training materials by OpenHelix
|Learn to use the Galaxy resource from the Galaxy Team at the Center for Comparative Genomics and Bioinformatics at Pennsylvania State University. Galaxy is an excellent online genome analysis tool that combines the power of existing genome annotation databases with a simple web portal with a variety of tools and algorithms, to enable users to search remote resources, combine data from independent queries, prepare, manipulate and analyze the data using a large suite of analysis tools. A history is created for every analysis providing a record ensuring reproducibility of results. Galaxy also presents the opportunity to create and share workflows of analysis.|
- to navigate the basics of the Galaxy interfaces
- how to upload data from various databases and sources
- how to prepare and manipulate your data for further analysis
- how to use Galaxy to perform many different types of analyses on your data
This tutorial is a part of the tutorial group Advanced Analysis. You might find the other tutorials in the group interesting:
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Recent BioMed Central research articles citing this resource
Feldmesser Ester et al., Improving transcriptome construction in non-model organisms: integrating manual and automated gene definition in Emiliania huxleyi Transcriptomic methods. BMC Genomics (2014) doi:10.1186/1471-2164-15-148
Hutchins Paul Andrew et al., glbase: a framework for combining, analyzing and displaying heterogeneous genomic and high-throughput sequencing data. Cell Regeneration (2014) doi:10.1186/2045-9769-3-1
Blumenstiel P Justin et al., Whole genome sequencing in Drosophila virilis identifies Polyphemus , a recently activated Tc1-like transposon with a possible role in hybrid dysgenesis. Mobile DNA (2014) doi:10.1186/1759-8753-5-6
Shrestha Krishna Ram et al., QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform Sequence analysis (methods). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-33
Cole Charles et al., Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data Results and data. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-28
More about the resource:
Galaxy is developed by the Galaxy Team at the Center for Comparative Genomics and Bioinformatics at Pennsylvania State University and funded by NSF, Penn State and the Huck Institutes of the Life Sciences. The Galaxy analysis tool is publicly available and free to use for all users. Galaxy is designed both for experimental biologists to perform genomic analyses and for developers as an easy-to-use, open-source, scalable framework for tool and data integration.
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.
Copyright 2009, OpenHelix, LLC.