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:
View additional tutorials for resources in
Recent BioMed Central research articles citing this resource
Tagu Denis et al., Genomic data integration for ecological and evolutionary traits in non-model organisms Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-490
Elhaik Eran et al., Gene expression and nucleotide composition are associated with genic methylation level in Oryza sativa Results and data. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-23
Landstorfer Richard et al., Comparison of strand-specific transcriptomes of enterohemorrhagic Escherichia coli O157:H7 EDL933 (EHEC) under eleven different environmental conditions including radish sprouts and cattle feces Prokaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-353
Grande Laura et al., Whole genome sequence comparison of vtx2 -converting phages from Enteroaggregative Haemorrhagic Escherichia coli strains Prokaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-574
Quek June et al., Validity and intra-rater reliability of an Android phone application to measure cervical range-of-motion. Journal of NeuroEngineering and Rehabilitation (2014) doi:10.1186/1743-0003-11-65
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.