mecfs_bio.build_system.task.gwaslab

Tasks using to GWASLab (https://github.com/Cloufield/gwaslab), a Python toolkit for GWAS summary statistics.

Modules:

• gwaslab_cell_analysis_by_sldsc –

  This task uses LDSC's wrapper around the original LDSC to implement cell-type specific analysis

• gwaslab_create_sumstats_task –

  Task to read in a dataframe from disk and process it using the GWASLAB pipeline.

• gwaslab_genetic_corr_by_ct_ldsc_task –

  This task uses GWASLAB's wrapper around the original LDSC code to estimate genetic correlation by cross-trait

• gwaslab_lead_variants_task –
• gwaslab_manhattan_and_qq_plot_task –
• gwaslab_region_plot_task_arbitrary_locus –
• gwaslab_region_plots_task –
• gwaslab_snp_heritability_by_ldsc_task –

  This task uses GWASLAB's wrapper around the original LDSC code to estimate compute heritability

• gwaslab_sumstats_to_table_task –
• gwaslab_transform_sumstats –

  Contains a task for transforming gwaslab Sumstats objefts.

• gwaslab_util –
• sldsc_scatter_plot_task –