new_contents: import pandas as pd
  import doctest
  
  import logging
  logging.basicConfig()
  LOG = logging.getLogger(__name__)
  
  def read_gtf(filepath_or_buffer):
      """
      Read a GTF (annotation) file and return a pandas DataFrame
  
      >>> gtf = read_gtf('sampleData/EBOLA.gtf')
      >>> gtf.columns
      Index([u'seqname', u'source', u'feature', u'start', u'end', u'score', u'strand', u'frame', u'gene_id', u'transcript_id'], dtype='object')
      """
      gtf = pd.read_table('sampleData/EBOLA.gtf',
                  '\s+',
                  names=['seqname','source','feature','start','end','score','strand','frame','gene_id','transcript_id'],
                  header=None,
                  index_col=False,
                  usecols=[0,1,2,3,4,5,6,7,9,11],
                  na_values=['.'],
                  true_values=['+'])
      return gtf
  
  def read_wig(filepath_or_buffer):
      """
      Read a WIG file and return a pandas DataFrame
  
      >>> wig = read_wig('sampleData/EBOLA.wig')
      >>> wig.columns 
      Index([u'wig'], dtype='object')
      >>> wig.shape
      (171323, 1)
      >>> wig.ix[wig.wig == 0,'wig'].index.values.mean()
      65220.647293912356
      """
      wig = pd.read_csv('sampleData/EBOLA.wig',header=None,skiprows=[0,1],names=['wig'])
      return wig
  
subject: Add some parsing code for wig and gtf I already had made