Tidy Verbs for Dealing with Genomic Data Frames

Documentation for package ‘tidygenomics’ version 0.1.2

cluster_interval	Cluster ranges which are implemented as 2 equal-length numeric vectors.
genome_anti_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_cluster	Intersect data frames based on chromosome, start and end.
genome_complement	Calculates the complement to the intervals covered by the intervals in a data frame. It can optionally take a 'chromosome_size' data frame that contains 2 or 3 columns, the first the names of chromosome and in case there are 2 columns the size or first the start index and lastly the end index on the chromosome.
genome_full_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_inner_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_intersect	Intersect data frames based on chromosome, start and end.
genome_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_left_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_right_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_semi_join_closest	Join intervals on chromosomes in data frames, to the closest partner
genome_subtract	Subtract one data frame from another based on chromosome, start and end.