Training material for the course "Exome analysis with GALAXY"
Description
Galaxy is an open source, web-based platform for data intensive biomedical research. It makes accessible bioinformatics applications to users lacking programming skills, enabling them to easily build analysis workflows for NGS data.
The course "Exome analysis using Galaxy" is aimed at PhD student, biologists, clinicians and researchers who are analysing, or need to analyse in the near future, high throughput exome sequencing data. The aim of the course is to make participants familiarise with the Galaxy platform and prepare them to work independently, using state-of-the art tools for the analysis of exome sequencing data.
The course will be delivered using a mixture of lectures and computer based hands-on practical sessions. Lectures will provide an up-to-date overview of the strategies for the analysis of exome next-generation experiments, starting from the raw sequence data. Analyses include sequence quality control, alignment to a reference genome, refinement of aligned sequences, variant calling, annotation and interpretation, and tools for visual inspection of results. Participants will apply the knowledge gained during the course to the analysis of Illumina’s real exome datasets, and implement workflows to reproduce the complete analysis. After the course, participants will be able to create pipeline for their individual analyses.
Those are the needed datasets for this course.
Files
Pedigree.txt
Files
(3.8 GB)
Name | Size | Download all |
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md5:3147fb92a21d33209e28a6bf1c2df1f9
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571.5 MB | Download |
md5:c4bb7d614766247814a1f87a6d242164
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506.9 MB | Download |
md5:ba863a68cd6c8aab78fd06631d2f1b96
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506.9 MB | Download |
md5:45e729d7bfac3fde174f1368f4d9a685
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149.3 MB | Download |
md5:868542038099ac56fc6fad13bbaf4b3d
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444.9 MB | Download |
md5:ce235e1b5a737206378e6862a19bc47d
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444.9 MB | Download |
md5:dcb4921c090c00f6a2193cadd506672b
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707.4 kB | Download |
md5:930f58091b6af6c29ee33a5d748f366f
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385.9 kB | Download |
md5:bdbbcd46e154be5d756075edecfe90b3
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372.1 kB | Download |
md5:be8690f273e7fb29ecb1dd7a8cf2e818
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68 Bytes | Preview Download |
md5:0c28ac556c491fa61b48ec7c96f3181d
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599.3 MB | Download |
md5:a5e98a44f8dd1f3f00980606f0c568e9
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599.3 MB | Download |