inst/assets/about.md
In TileDB-Inc/gwasexplorer: TileDB GWAS Explorer
Background
This demonstration app allows you to explore results from the Round 2 release of genome-wide association study (GWAS) results generated by the UKBiobank and the Neale Lab.
Association tests were performed on 361,194 samples for over 4,000 traits. Summary statistics for these analyses are publicly available can be viewed here.
As part of the UseR! 2021 TileDB tutorial, a subset of the GWAS results files were downloaded and ingested into a sparse TileDB array indexed by phenotype (i.e., the trait's descriptive name), variant chromosome, and chromosomal position.
Usage
Enter the URI for a TileDB array containing the GWAS results and click the Load Array button.
Switch to the Query tab and choose a phenotype of interest and a genomic region to slice from the array. You can then:
- view the data as a table in the Results tab
- visualize the results as a manhattan plot in the Plot tab
- see statistics about the latest query in the Stats tab
References
Neale Lab, http://www.nealelab.is/uk-biobank/, 2018.
TileDB-Inc/gwasexplorer documentation built on Oct. 31, 2022, 8 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Background
This demonstration app allows you to explore results from the Round 2 release of genome-wide association study (GWAS) results generated by the UKBiobank and the Neale Lab.
Association tests were performed on 361,194 samples for over 4,000 traits. Summary statistics for these analyses are publicly available can be viewed here.
As part of the UseR! 2021 TileDB tutorial, a subset of the GWAS results files were downloaded and ingested into a sparse TileDB array indexed by phenotype (i.e., the trait's descriptive name), variant chromosome, and chromosomal position.
Usage
Enter the URI for a TileDB array containing the GWAS results and click the Load Array button.
Switch to the Query tab and choose a phenotype of interest and a genomic region to slice from the array. You can then:
- view the data as a table in the Results tab
- visualize the results as a manhattan plot in the Plot tab
- see statistics about the latest query in the Stats tab
References
Neale Lab, http://www.nealelab.is/uk-biobank/, 2018.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.