Tools#

Import Pycallingcards as:

import pycallingcards as cc

tools.call_motif

Call motif by HOMER and [Heinz et al., 2010].

tools.compare_motif

Compare the motifs from the motif results of two groups from HOMER and [Heinz et al., 2010].

tools.rank_peak_groups

Rank peaks for characterizing groups.

tools.rank_peak_groups_mu

Rank peaks for characterizing groups.

tools.rank_peak_groups_df

pycallingcards.tl.rank_peak_groups() results in the form of a DataFrame.

tools.diff2group_bygroup

Compare the peak difference between two groups for specific peak by group.

tools.diff2group_bysample

Comapare the peak difference between two groups for a specific peak by sample.

tools.DE_pvalue

Compare the peak difference between two groups for specific peak.

tools.pair_peak_gene_bulk

Pair related peaks and genes.

tools.pair_peak_gene_sc

Pair related peaks and genes.

tools.pair_peak_gene_sc_mu

Pair related peaks and genes.

tools.liftover

Use liftover to transform from one genome to another [Hinrichs et al., 2006].

tools.find_location

Find the gene location for a specfic genome.

tools.result_mapping

Map from one genome to another for the result table [Hinrichs et al., 2006].

tools.GWAS

Calculate the GWAS result for the peak in the data.

tools.GWAS_adata_bulk

Plot GWAS results for different cell types for bulk calling cards data.

tools.GWAS_adata_sc

Plot GWAS results for different cell types for single-cell calling cards data.

tools.footprint

Find the CC footprint in yeast CC data.

tools.find_fastq

Find the fastq file of a specific part of a gene.