Panel design

Functions to optimize genomic region panels

select_greedy()

Select mutations by maximal coverage

reduce_panel()

Reduce panel regions to input target ranges by respecting a minimum region size.

Evaluate

Functions for evaluating given panels

panel_to_patient()

Get mapping of panel regions to covered patients and mutations.

eval_panel()

Evaluate and annotate a given set of regions (panel)

eval_regions()

Evaluate and annotate a given region to patient association data set

Mutation and ranges

Functions to work with mutation data and genomic ranges

mut_to_gr()

Create GRanges object out of mutations

mut_to_reg_gr()

Create unique regions of fixed size around mutations as GRanges

get_exons()

Get all exons as GRanges object

Data

Toy example datasets

gr_toy

A toy example genomic ranges object.

mut_toy

A toy example data set linking patients to mutations.

sv_toy

A toy example data set linking patients to structural variants