--- a/SNP_Mapping.py	Fri May 09 15:41:24 2014 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,458 +0,0 @@
-#!/usr/bin/python
-
-import re
-import sys
-import optparse
-import csv
-import re
-import pprint
-from decimal import *
-from rpy import *
-
-def main():
-	csv.field_size_limit(1000000000)
-
-	parser = optparse.OptionParser()
-	parser.add_option('-v', '--sample_vcf', dest = 'sample_vcf', action = 'store', type = 'string', default = None, help = "Sample VCF from GATK Unified Genotyper")
-	parser.add_option('-l', '--loess_span', dest = 'loess_span', action = 'store', type = 'float', default = .1, help = "Loess span")
-	parser.add_option('-d', '--d_yaxis', dest = 'd_yaxis', action = 'store', type = 'float', default = 1, help = "y-axis upper limit for dot plot")  
-	parser.add_option('-y', '--h_yaxis', dest = 'h_yaxis', action = 'store', type = 'int', default = 0, help = "y-axis upper limit for histogram plot")   
-	parser.add_option('-c', '--points_color', dest = 'points_color', action = 'store', type = 'string', default = "gray27", help = "Color for data points") 
-	parser.add_option('-k', '--loess_color', dest = 'loess_color', action = 'store', type = 'string', default = "red", help = "Color for loess regression line")        
-	parser.add_option('-z', '--standardize', dest = 'standardize', default= 'true', help = "Standardize X-axis")
-	parser.add_option('-b', '--break_file', dest = 'break_file', action = 'store', type = 'string', default = 'C.elegans', help = "File defining the breaks per chromosome")
-	parser.add_option('-x', '--bin_size', dest = 'bin_size', action = 'store', type = 'int', default = 1000000, help = "Size of histogram bins, default is 1mb")
-	parser.add_option('-n', '--normalize_bins', dest = 'normalize_bins', default= 'true', help = "Normalize histograms")
-
-
-	parser.add_option('-o', '--output', dest = 'output', action = 'store', type = 'string', default = None, help = "Output file name")
-	parser.add_option('-s', '--location_plot_output', dest = 'location_plot_output', action = 'store', type = 'string', default = "SNP_Mapping_Plot.pdf", help = "Output file name of SNP plots by chromosomal location")
-
-	(options, args) = parser.parse_args()
-
-	vcf_info = parse_vcf(sample_vcf = options.sample_vcf)
-
-	output_vcf_info(output = options.output, vcf_info = vcf_info)
-	
-	rounded_bin_size = int(round((float(options.bin_size) / 1000000), 1) * 1000000)
-	
-	normalized_histogram_bins_per_mb = calculate_normalized_histogram_bins_per_xbase(vcf_info = vcf_info, xbase = rounded_bin_size, normalize_bins = options.normalize_bins)
-	max_y_hist_mb = normalized_histogram_bins_per_mb[max(normalized_histogram_bins_per_mb, key = lambda x: normalized_histogram_bins_per_mb.get(x) )]
-	
-	normalized_histogram_bins_per_5kb = calculate_normalized_histogram_bins_per_xbase(vcf_info = vcf_info, xbase = (rounded_bin_size / 2), normalize_bins = options.normalize_bins)
-	max_y_hist_5kb = normalized_histogram_bins_per_5kb[max(normalized_histogram_bins_per_5kb, key = lambda x: normalized_histogram_bins_per_5kb.get(x) )]
-	
-	max_y_hist_overall = myround(max(max_y_hist_mb, max_y_hist_5kb) + int(round(round(max(max_y_hist_mb, max_y_hist_5kb)) * .1)))
-
-	break_dict = parse_breaks(break_file = options.break_file)
-
-	output_scatter_plots_by_location(location_plot_output = options.location_plot_output, vcf_info = vcf_info, loess_span=options.loess_span, d_yaxis=options.d_yaxis, h_yaxis=options.h_yaxis, points_color=options.points_color, loess_color=options.loess_color, standardize =options.standardize, normalized_hist_per_mb = normalized_histogram_bins_per_mb, normalized_hist_per_5kb = normalized_histogram_bins_per_5kb, breaks = break_dict, rounded_bin_size = rounded_bin_size, max_y_hist_overall = max_y_hist_overall)
-
-
-def myround(x, base=5):
-    return int(base * round(float(x)/base))
-
-def skip_headers(reader = None, i_file = None):
-	# count headers
-	comment = 0
-	while reader.next()[0].startswith('#'):
-		comment = comment + 1
-	
-	# skip headers
-	i_file.seek(0)
-	for i in range(0, comment):
-		reader.next()
-
-def parse_breaks(break_file = None):
-	if break_file == 'C.elegans':
-		break_dict = { 'I' : 16 , 'II' : 16,  'III' : 14, 'IV' : 18, 'V' : 21, 'X' : 18 }
-		return break_dict
-	elif break_file == 'Brachypodium':
-		break_dict = { '1' : 75 , '2' : 60,  '3' : 60, '4' : 50, '5' : 30 }
-		return break_dict	
-	elif break_file == 'Arabidopsis':
-		break_dict = { '1' : 31 , '2' : 20,  '3' : 24, '4' : 19, '5' : 27 }
-		return break_dict
-	else:
-		i_file = open(break_file, 'rU')
-		break_dict = {}
-		reader = csv.reader(i_file, delimiter = '\t')
-		for row in reader:
-			chromosome = row[0].upper()
-			chromosome = re.sub("CHROMOSOME_", "", chromosome, flags = re.IGNORECASE)
-			chromosome = re.sub("chr", "", chromosome, flags = re.IGNORECASE)
-			break_count = row[1]
-			break_dict[chromosome] = int(break_count)
-		return break_dict
-
-
-def location_comparer(location_1, location_2):
-	chr_loc_1 = location_1.split(':')[0]
-	pos_loc_1 = int(location_1.split(':')[1])
-
-	chr_loc_2 = location_2.split(':')[0]
-	pos_loc_2 = int(location_2.split(':')[1])
-
-	if chr_loc_1 == chr_loc_2:
-		if pos_loc_1 < pos_loc_2:
-			return -1
-		elif pos_loc_1 == pos_loc_1:
-			return 0
-		elif pos_loc_1 > pos_loc_2:
-			return 1
-	elif chr_loc_1 < chr_loc_2:
-		return -1
-	elif chr_loc_1 > chr_loc_2:
-		return 1
-
-def output_vcf_info(output = None, vcf_info = None):
-	o_file = open(output, 'wb')
-	writer = csv.writer(o_file, delimiter = '\t')
-
-	writer.writerow(["#Chr\t", "Pos\t", "Alt Count\t", "Ref Count\t", "Read Depth\t", "Ratio\t"])
-
-	location_sorted_vcf_info_keys = sorted(vcf_info.keys(), cmp=location_comparer)
-
-	for location in location_sorted_vcf_info_keys:
-		alt_allele_count, ref_allele_count, read_depth, ratio = vcf_info[location]
-		
-		location_info = location.split(':')
-		chromosome = location_info[0]
-		position = location_info[1]
-
-		writer.writerow([chromosome, position, alt_allele_count, ref_allele_count, read_depth, ratio])
-
-	o_file.close()
-
-def output_scatter_plots_by_location(location_plot_output = None, vcf_info = None, loess_span="", d_yaxis="", h_yaxis="", points_color="", loess_color="", standardize=None, normalized_hist_per_mb = None, normalized_hist_per_5kb = None, breaks = None, rounded_bin_size = 1000000, max_y_hist_overall = ""):
-	positions = {}
-	current_chr = ""
-	prev_chr = ""
-
-	x_label = "Location (Mb)"
-	filtered_label = ''
-
-	location_sorted_vcf_info_keys = sorted(vcf_info.keys(), cmp=location_comparer)
-	
-	break_unit = Decimal(rounded_bin_size) / Decimal(1000000)
-	max_breaks = max(breaks.values())
-
-	try:
-		r.pdf(location_plot_output, 8, 8)
-	
-		for location in location_sorted_vcf_info_keys:
-			current_chr = location.split(':')[0]
-			position = location.split(':')[1]
-
-			alt_allele_count, ref_allele_count, read_depth, ratio = vcf_info[location]
-		
-			if prev_chr != current_chr:
-				if prev_chr != "":
-					hist_dict_mb = get_hist_dict_by_chr(normalized_hist_per_xbase = normalized_hist_per_mb, chr = prev_chr)
-					hist_dict_5kb = get_hist_dict_by_chr(normalized_hist_per_xbase = normalized_hist_per_5kb, chr = prev_chr)
-					
-					if h_yaxis == 0:
-						plot_data(chr_dict = positions, hist_dict_mb = hist_dict_mb, hist_dict_5kb = hist_dict_5kb, chr = prev_chr + filtered_label, x_label = "Location (Mb)", divide_position = True, draw_secondary_grid_lines = True, loess_span=loess_span, d_yaxis=d_yaxis, h_yaxis=max_y_hist_overall, points_color=points_color, loess_color=loess_color, breaks = breaks[prev_chr], standardize=standardize, max_breaks = max_breaks, break_unit = break_unit)
-					else:
-						plot_data(chr_dict = positions, hist_dict_mb = hist_dict_mb, hist_dict_5kb = hist_dict_5kb, chr = prev_chr + filtered_label, x_label = "Location (Mb)", divide_position = True, draw_secondary_grid_lines = True, loess_span=loess_span, d_yaxis=d_yaxis, h_yaxis=h_yaxis, points_color=points_color, loess_color=loess_color, breaks = breaks[prev_chr], standardize=standardize, max_breaks = max_breaks, break_unit = break_unit)
-				
-				prev_chr = current_chr
-				positions = {}
-		
-			positions[position] = ratio
-
-		hist_dict_mb = get_hist_dict_by_chr(normalized_hist_per_xbase = normalized_hist_per_mb, chr = current_chr)
-		hist_dict_5kb = get_hist_dict_by_chr(normalized_hist_per_xbase = normalized_hist_per_5kb, chr = current_chr)
-		
-		if h_yaxis == 0:					
-			plot_data(chr_dict = positions, hist_dict_mb = hist_dict_mb, hist_dict_5kb = hist_dict_5kb, chr = current_chr + filtered_label, x_label = "Location (Mb)", divide_position = True, draw_secondary_grid_lines = True, loess_span=loess_span, d_yaxis=d_yaxis, h_yaxis=max_y_hist_overall, points_color=points_color, loess_color=loess_color, breaks = breaks[current_chr], standardize=standardize, max_breaks = max_breaks, break_unit = break_unit)
-		else:
-			plot_data(chr_dict = positions, hist_dict_mb = hist_dict_mb, hist_dict_5kb = hist_dict_5kb, chr = current_chr + filtered_label, x_label = "Location (Mb)", divide_position = True, draw_secondary_grid_lines = True, loess_span=loess_span, d_yaxis=d_yaxis, h_yaxis=h_yaxis, points_color=points_color, loess_color=loess_color, breaks = breaks[current_chr], standardize=standardize, max_breaks = max_breaks, break_unit = break_unit)
-		
-		r.dev_off()
-		
-	except Exception as inst:
-        	print inst
-        	print "There was an error creating the location plot pdf... Please try again"
-
-def get_hist_dict_by_chr(normalized_hist_per_xbase = None, chr = ''):
-	hist_dict = {}	
-
-	for location in normalized_hist_per_xbase:
-		chromosome = location.split(':')[0]		
-		if chromosome == chr:
-			position = int(location.split(':')[1])
-			hist_dict[position] = normalized_hist_per_xbase[location]
-	
-	max_location = max(hist_dict.keys(), key=int)
-	for i in range(1, max_location):
-		if i not in hist_dict:
-			hist_dict[i] = 0	
-	
-	return hist_dict	
-
-
-def plot_data(chr_dict =  None, hist_dict_mb = None, hist_dict_5kb = None, chr = "", x_label = "", divide_position = False, draw_secondary_grid_lines = False, loess_span=None, d_yaxis=None, h_yaxis=None, points_color="", loess_color="", breaks = None, standardize= None, max_breaks = 1, break_unit = 1):
-	ratios = "c("
-	positions = "c("
-	
-	for position in chr_dict:
-		ratio = chr_dict[position]
-		if divide_position:
-		       	position = float(position) / 1000000.0
-	        positions = positions + str(position) + ", "
-		ratios = ratios + str(ratio) + ", "
-
-	if len(ratios) == 2:
-		ratios = ratios + ")"
-	else:
-		ratios = ratios[0:len(ratios) - 2] + ")"
-
-	if len(positions) == 2:
-		positions = positions + ")"
-	else:
-		positions = positions[0:len(positions) - 2] + ")"
-
-	r("x <- " + positions)
-	r("y <- " + ratios)
-
-	hist_mb_values = "c("
-    	for position in sorted(hist_dict_mb):
-		hist_mb_values = hist_mb_values + str(hist_dict_mb[position]) + ", "
-	
-	if len(hist_mb_values) == 2:
-		hist_mb_values = hist_mb_values + ")"
-	else:
-		hist_mb_values = hist_mb_values[0:len(hist_mb_values) - 2] + ")"
-
-	hist_5kb_values = "c("
-	for position in sorted(hist_dict_5kb):
-		hist_5kb_values = hist_5kb_values + str(hist_dict_5kb[position]) + ", "	
-
-	if len(hist_5kb_values) == 2:
-		hist_5kb_values = hist_5kb_values + ")"
-	else:
-		hist_5kb_values = hist_5kb_values[0:len(hist_5kb_values) - 2] + ")"
-
-	r("xz <- " + hist_mb_values)
-	r("yz <- " + hist_5kb_values)
-
-
-	max_break_str = str(max_breaks)
-	break_unit_str = str(Decimal(break_unit)) 	
-	half_break_unit_str = str(Decimal(break_unit) / Decimal(2))
-	break_penta_unit_str = str(Decimal(break_unit) * Decimal(5))
-
-	if (standardize=='true'):  
-		r("plot(x, y, ,cex=0.60, xlim=c(0," + max_break_str + "), main='LG " + chr + " (Hawaiian Variant Mapping)', xlab= '" + x_label + "', ylim = c(0, %f " %d_yaxis + "), ylab='Ratios of mapping strain alleles/total reads (at SNP positions)', pch=10, col='"+ points_color +"')")
-		r("lines(loess.smooth(x, y, span = %f "%loess_span + "), lwd=5, col='"+ loess_color +"')")
-		r("axis(1, at=seq(0, " + max_break_str + ", by=" + break_unit_str + "), labels=FALSE, tcl=-0.5)")
-		r("axis(1, at=seq(0, " + max_break_str + ", by=" + half_break_unit_str + "), labels=FALSE, tcl=-0.25)")
-		r("axis(2, at=seq(floor(min(y)), 1, by=0.1), labels=FALSE, tcl=-0.2)")
-	elif (standardize=='false'):
-		r("plot(x, y, cex=0.60, main='LG " + chr + " (Hawaiian Variant Mapping)', xlab= '" + x_label + "', ylim = c(0, %f " %d_yaxis + "), ylab='Ratios of mapping strain alleles/total reads (at SNP positions)', pch=10, col='"+ points_color +"')")
-		r("lines(loess.smooth(x, y, span = %f "%loess_span + "), lwd=5, col='"+ loess_color +"')")    
-		r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by= " + break_unit_str + "), labels=FALSE, tcl=-0.5)")
-		r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by= " + half_break_unit_str + "), labels=FALSE, tcl=-0.25)")	
-		r("axis(2, at=seq(floor(min(y)), 1, by=0.1), labels=FALSE, tcl=-0.2)")
-
-	if draw_secondary_grid_lines:
-		r("abline(h = seq(floor(min(y)), 1, by=0.1), v = seq(floor(min(x)), length(x), by= 1), col='gray')")
-	else:
-		r("grid(lty = 1, col = 'gray')")
-
-	if (standardize=='true'):
-		r("barplot(xz, xlim=c(0, " + max_break_str + "), ylim = c(0, " + str(h_yaxis) + "), yaxp=c(0, " + str(h_yaxis) + ", 1), space = 0, col='darkgray', width = " + break_unit_str + ", xlab='Location (Mb)', ylab='Normalized frequency of pure parental alleles ', main='LG " + chr + " (Hawaiian Variant Mapping)')")
-		r("barplot(yz, space = 0, add=TRUE, width = " + half_break_unit_str + ", col=rgb(1, 0, 0, 1))")	
-		r("axis(1, hadj = 1, at=seq(0, " + max_break_str + ", by= " + break_unit_str + "), labels=FALSE, tcl=-0.5)")
-		r("axis(1, at=seq(0, " + max_break_str + ", by= " + break_penta_unit_str + "), labels=TRUE, tcl=-0.5)")
-		r("axis(1, at=seq(0, " + max_break_str + ", by= " + half_break_unit_str + "), labels=FALSE, tcl=-0.25)")
-	elif (standardize=='false'):
-		r("barplot(xz, ylim = c(0, " + str(h_yaxis) + "), yaxp=c(0, " + str(h_yaxis) + ", 1), space = 0, col='darkgray', width = 1, xlab='Location (Mb)', ylab='Normalized frequency of pure parental alleles ', main='LG " + chr + " (Hawaiian Variant Mapping)')")
-		r("barplot(yz, space = 0, add=TRUE, width = 0.5, col=rgb(1, 0, 0, 1))")	
-		r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by= " + break_unit_str + "), labels=FALSE, tcl=-0.5)")
-		r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by= " + break_penta_unit_str + "), labels=TRUE, tcl=-0.5)")
-		r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by= " + half_break_unit_str + "), labels=FALSE, tcl=-0.25)")
-
-
-		
-def calculate_normalized_histogram_bins_per_xbase(vcf_info = None, xbase = 1000000, normalize_bins = None):
-	normalized_histogram_bins_per_xbase = {}
-
-	ref_snp_count_per_xbase = get_ref_snp_count_per_xbase(vcf_info = vcf_info, xbase = xbase)
-	
-	mean_zero_snp_count_per_chromosome = get_mean_zero_snp_count_per_chromosome(vcf_info = vcf_info, xbase = xbase)
-	
-	zero_snp_count_per_xbase = get_zero_snp_count_per_xbase(vcf_info = vcf_info, xbase = xbase)
-	
-
-	for location in ref_snp_count_per_xbase:
-		chromosome = location.split(':')[0]
-		mean_zero_snp_count = mean_zero_snp_count_per_chromosome[chromosome]
-		ref_snp_count = ref_snp_count_per_xbase[location]
-
-		zero_snp_count = 0
-		if location in zero_snp_count_per_xbase:
-			zero_snp_count = zero_snp_count_per_xbase[location]	
-
-		if normalize_bins == 'true':							
-			if zero_snp_count == 0 or ref_snp_count == 0:
-				normalized_histogram_bins_per_xbase[location] = 0
-			elif zero_snp_count == ref_snp_count:
-				normalized_histogram_bins_per_xbase[location] = 0					
-			else:				
-				normalized_histogram_bins_per_xbase[location] = (Decimal(zero_snp_count) / (Decimal(ref_snp_count)-Decimal(zero_snp_count))) * Decimal(mean_zero_snp_count)					
-		else:
-			normalized_histogram_bins_per_xbase[location] = zero_snp_count
-
-	return normalized_histogram_bins_per_xbase
-
-
-def get_ref_snp_count_per_xbase(vcf_info = None, xbase = 1000000):
-	ref_snps_per_xbase = {}
-
-	for location in vcf_info:
-		location_info = location.split(':')
-
-		chromosome = location_info[0].upper()
-		chromosome = re.sub("CHROMOSOME_", "", chromosome, flags = re.IGNORECASE)		
-		chromosome = re.sub("chr", "", chromosome, flags = re.IGNORECASE)
-
-		position = location_info[1]
-		xbase_position = (int(position) / xbase) + 1
-
-		location = chromosome + ":" + str(xbase_position)
-		if location in ref_snps_per_xbase:
-			ref_snps_per_xbase[location] = ref_snps_per_xbase[location] + 1
-		else:
-			ref_snps_per_xbase[location] = 1
-
-	return ref_snps_per_xbase
-
-
-
-def get_mean_zero_snp_count_per_chromosome(vcf_info, xbase = 1000000):
-	sample_snp_count_per_xbase = {}
-	
-	for location in vcf_info:
-		alt_allele_count, ref_allele_count, read_depth, ratio = vcf_info[location]
-			
-		location_info = location.split(':')
-		chromosome = location_info[0]
-		position = location_info[1]
-		xbase_position = (int(position) / xbase) + 1
-		xbase_location = chromosome + ":" + str(xbase_position)
-		
-		if int(alt_allele_count) == 0:
-			if xbase_location in sample_snp_count_per_xbase:
-				sample_snp_count_per_xbase[xbase_location] = sample_snp_count_per_xbase[xbase_location] + 1
-			else:
-				sample_snp_count_per_xbase[xbase_location] = 1
-
-		elif int(alt_allele_count) != 0 and xbase_location not in sample_snp_count_per_xbase:		
-			sample_snp_count_per_xbase[xbase_location] = 0
-
-	mean_zero_snp_count_per_chromosome = {}
-	for location in sample_snp_count_per_xbase:
-		chromosome = location.split(':')[0]
-		sample_count = sample_snp_count_per_xbase[location]
-		if chromosome in mean_zero_snp_count_per_chromosome:
-			mean_zero_snp_count_per_chromosome[chromosome].append(sample_count)
-		else:
-			mean_zero_snp_count_per_chromosome[chromosome] = [sample_count]
-
-	for chromosome in mean_zero_snp_count_per_chromosome:
-		summa = sum(mean_zero_snp_count_per_chromosome[chromosome])
-		count = len(mean_zero_snp_count_per_chromosome[chromosome])
-
-		mean_zero_snp_count_per_chromosome[chromosome] = Decimal(summa) / Decimal(count)
-
-	return mean_zero_snp_count_per_chromosome
-
-
-def get_zero_snp_count_per_xbase(vcf_info = None, xbase = 1000000):
-	zero_snp_count_per_xbase = {}
-
-	for location in vcf_info:
-		alt_allele_count, ref_allele_count, read_depth, ratio = vcf_info[location]
-			
-		location_info = location.split(':')
-		chromosome = location_info[0]
-		position = location_info[1]
-		xbase_position = (int(position) / xbase) + 1
-		xbase_location = chromosome + ":" + str(xbase_position)
-		
-		if int(alt_allele_count) == 0:
-			if xbase_location in zero_snp_count_per_xbase:
-				zero_snp_count_per_xbase[xbase_location] = zero_snp_count_per_xbase[xbase_location] + 1
-			else:
-				zero_snp_count_per_xbase[xbase_location] = 1
-
-		elif int(alt_allele_count) != 0 and xbase_location not in zero_snp_count_per_xbase:
-			zero_snp_count_per_xbase[xbase_location] = 0
-
-	return zero_snp_count_per_xbase
-
-
-def parse_vcf(sample_vcf = None):
-	i_file = open(sample_vcf, 'rU')
-	reader = csv.reader(i_file, delimiter = '\t', quoting = csv.QUOTE_NONE)	
-
-	skip_headers(reader = reader, i_file = i_file)
-	vcf_info = {}
-
-	for row in reader:
-		chromosome = row[0].upper()
-		chromosome = re.sub("CHROMOSOME_", "", chromosome, flags = re.IGNORECASE)
-		chromosome = re.sub("chr", "", chromosome, flags = re.IGNORECASE)
-
-
-		if chromosome != 'MTDNA':
-			position = row[1]
-			#ref_allele = row[2]
-			#read_depth = row[3]
-			#read_bases = row[4]
-
-			vcf_format_info = row[8].split(":")
-			vcf_allele_freq_data = row[9] 
-			
-			read_depth_data_index = vcf_format_info.index("DP")
-			read_depth = vcf_allele_freq_data.split(":")[read_depth_data_index]
-
-			ref_and_alt_counts_data_index = vcf_format_info.index("AD")
-			ref_and_alt_counts = vcf_allele_freq_data.split(":")[ref_and_alt_counts_data_index]	
-			ref_allele_count = ref_and_alt_counts.split(",")[0]
-			alt_allele_count = ref_and_alt_counts.split(",")[1]
-
-			location = chromosome + ":" + position
-	
-			if (Decimal(read_depth)!=0):	
-				getcontext().prec = 6	
-				ratio = Decimal(alt_allele_count) / Decimal(read_depth)
-					
-				vcf_info[location] = (alt_allele_count, ref_allele_count, read_depth, ratio)
-			
-				#debug line
-				#print chromosome, position, read_depth, ref_allele_count, alt_allele_count, ratio, id
-
-	i_file.close()
-
-	return vcf_info
-
-def parse_read_bases(read_bases = None, alt_allele = None):
-	read_bases = re.sub('\$', '', read_bases)
-	read_bases = re.sub('\^[^\s]', '', read_bases)
-
-	ref_allele_matches = re.findall("\.|\,", read_bases)
-	ref_allele_count = len(ref_allele_matches)
-
-	alt_allele_matches = re.findall(alt_allele, read_bases, flags = re.IGNORECASE)
-	alt_allele_count = len(alt_allele_matches)
-
-	#debug line
-	#print read_bases, alt_allele, alt_allele_count, ref_allele_count
-
-	return ref_allele_count, alt_allele_count
-
-if __name__ == "__main__":
-	main()