comparison damid_deseq2_to_peaks.py @ 1:edca422b6cd6 draft default tip

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/damid_deseq2_to_peaks commit 77e1df794a4bceebf80dc0d800c18577c531a277

0:3fd7995da4fd

def significant_gatcs_to_peaks(df, p_value_cutoff):
    # Add `pass` column for sig. GATCs
    df['pass'] = 0
    df.loc[df[6] < p_value_cutoff, 'pass'] = 1
    # Create pass_id column for consecutive pass or no-pass GATCs
    # True whenever there is a value change (from previous value):
    df['pass_id'] = df.groupby('chr')['pass'].diff().ne(0).cumsum()
    gb = df.groupby('pass_id')
    # aggregate

1:edca422b6cd6

def significant_gatcs_to_peaks(df, p_value_cutoff):
    # Add `pass` column for sig. GATCs
    df['pass'] = 0
    df.loc[(df[6] < p_value_cutoff) & (df[2] > 0), 'pass'] = 1
    # Create pass_id column for consecutive pass or no-pass GATCs
    # True whenever there is a value change (from previous value):
    df['pass_id'] = df.groupby('chr')['pass'].diff().ne(0).cumsum()
    gb = df.groupby('pass_id')
    # aggregate