Learn to use the Galaxy resource from the Galaxy Teams at various institutions. 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.
You will learn:
This tutorial is a part of the tutorial group Advanced Analysis and Queries. You might find the other tutorials in the group interesting:
BioMart: Management and querying of many types of biological data
UniProt: UniProt, Universal Protein Resource
DBTSS: Database of Transcriptional Start Sites
ENCODE Data at UCSC: ENCODE Data at UCSC
Algorithms and Analysis : This category contains various tools that may help perform analysis of different genomics data types. This may include sequence alignment, large-scale or complex queries, motif finding, or comparative assessments.
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Recent BioMed Central research articles citing this resource
Breitschwerdt B. Edward et al., Did Bartonella henselae contribute to the deaths of two veterinarians?. Parasites Vectors (2015) doi:10.1186/s13071-015-0920-4
Guiblet M Wilfried et al., SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations. GigaScience (2015) doi:10.1186/2047-217X-4-1
Mills D James et al., High expression of long intervening non-coding RNA OLMALINC in the human cortical white matter is associated with regulation of oligodendrocyte maturation. Molecular Brain (2015) doi:10.1186/s13041-014-0091-9
Solomon A Lauren et al., Genome-wide comparison of PU.1 and Spi-B binding sites in a mouse B lymphoma cell line Human and rodent genomics. BMC Genomics (2015) doi:10.1186/s12864-015-1303-0
Kelly J Benjamin et al., Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics. Genome Biology (2015) doi:10.1186/s13059-014-0577-x