# Copyright 2015.
# Michael A. DeJesus, Chaitra Ambadipudi, and Thomas R. Ioerger.
#
#
# This file is part of TRANSIT.
#
# TRANSIT is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License.
#
#
# TRANSIT is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with TRANSIT. If not, see <http://www.gnu.org/licenses/>.
import pytransit.view_trash as view_trash
from math import *
import os
import platform
import numpy
from PIL import Image, ImageDraw, ImageFont
[docs]def normalize(X, old_min, old_max, new_min, new_max):
old_range = (old_max - old_min)
new_range = (new_max - new_min)
if old_range == 0:
return new_min
else:
return (((X - old_min) * new_range) / old_range) + new_min
linuxFonts = []
linuxFonts.append("/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Bold.ttf")
linuxFonts.append("/usr/share/fonts/dejavu-lgc/DejaVuLGCSerifCondensed-Bold.ttf")
linuxFonts.append("/usr/share/fonts/dejavu-lgc/DejaVuLGCSansCondensed-Bold.ttf")
winFonts = []
winFonts.append("consolab.ttf")
winFonts.append("courb.ttf")
winFonts.append("arial.ttf")
fontsize = 16
font = ImageFont.load_default()
if platform.system() == "Linux":
for fontpath in linuxFonts:
if os.path.isfile(fontpath):
font = ImageFont.truetype(fontpath, fontsize)
break
elif platform.system() == "Windows":
for fontpath in winFonts:
try:
font = ImageFont.truetype(fontpath, fontsize)
break
except:
pass
[docs]def draw_reads(draw, reads, ta_sites, start_x=0, start_y=0, width=400, height=100, start=0, end=500, min_read=0, max_read=500, lwd=2):
TRUNC_READS = [min(rd, max_read) for rd in reads]
NORM_READS = [normalize(rd, 0, max_read, 0, max_read) for rd in TRUNC_READS]
new_min_w = start_x
new_max_w = start_x + width #- self.padding_r
new_min_h = start_y
new_max_h = start_y + height
for i,TA in enumerate(ta_sites):
TApos = normalize(TA, start, end, new_min_w, new_max_w)
if NORM_READS[i] == 0: continue
read_h = normalize(NORM_READS[i], 0, max_read, new_min_h, new_max_h) # height of read line
Y1 = start_y
Y2 = start_y - (read_h-start_y)
draw.line([(TApos, Y1), (TApos, Y2)], width=lwd, fill=(255,0,0))
[docs]def draw_ta_sites(draw, ta_sites, start_x=0, start_y=0, width=200, height=0, start=0, end=500, lwd=2):
new_min_w = start_x
new_max_w = start_x + width #- self.padding_r
for i,TA in enumerate(ta_sites):
TApos = normalize(TA, start, end, new_min_w, new_max_w)
draw.line([(TApos, start_y+0), (TApos, start_y + height)], width=lwd, fill="black")
[docs]def draw_scale(draw, start_x, start_y, height, max_read):
#print("scale", start_x, start_y, height)
MIDREAD = int(max_read/2.0)
top_text_w, top_text_h = draw.textsize(str(max_read), font=font)
draw.text((start_x, start_y), str(max_read), font=font, fill="black")
draw.text((start_x, start_y + height/2.0), str(MIDREAD), font=font, fill="black")
bottom_text_w, bottom_text_h = draw.textsize(str(MIDREAD), font=font)
draw.text((start_x+bottom_text_w-(top_text_w/2.0), start_y+height), "0", font=font, fill="black")
[docs]def draw_features(draw, GENES, orf2data, start, end, start_x, start_y, width, height):
padding_h = 3
text_w, text_h = draw.textsize("RV0001", font=font)
gene_h = height - text_h
triangle_size = 10
for gene in GENES:
if gene not in orf2data: continue
gene_start = orf2data[gene][2]
gene_end = orf2data[gene][3]
strand = orf2data[gene][4]
name = orf2data[gene][0]
new_min = start_x
new_max = start_x + width
norm_start = normalize(max(gene_start, start), start, end, new_min, new_max)
norm_end = normalize(min(gene_end, end), start, end, new_min, new_max)
color = "gray"
if gene.startswith("ES-"):
color = "red"
elif gene.startswith("GD-"):
color = "yellow"
elif gene.startswith("NE-"):
color = "blue"
elif gene.startswith("GA-"):
color = "green"
if strand == "-":
if gene_start >= start:
draw.rectangle(((norm_start, start_y+5),(norm_end,start_y+gene_h-5)), fill=color)
else:
draw.rectangle(((norm_start, start_y+5),(norm_end,start_y+gene_h-5)), fill=color)
else:
if gene_end <= end:
draw.rectangle(((norm_start, start_y+5),(norm_end, start_y+gene_h-5)), fill=color)
else:
draw.rectangle(((norm_start, start_y+5),(norm_end, start_y+gene_h-5)), fill=color)
if name == "-": name = gene
if not name.startswith("non-coding"):
name_text_w, name_text_h = draw.textsize(name, font=font)
if abs(norm_start-norm_end) >= name_text_w:
draw.text(( norm_start + (abs(norm_start-norm_end) - name_text_w)/2.0 , start_y+gene_h+text_h), name, font=font, fill="black")
[docs]def draw_genes(draw, GENES, orf2data, start, end, start_x, start_y, width, height, doTriangle=True):
padding_h = 3
text_w, text_h = draw.textsize("RV0001", font=font)
gene_h = height - text_h
triangle_size = 10
if not doTriangle:
triangle_size = 0
for gene in GENES:
if gene not in orf2data: continue
gene_start = orf2data[gene][2]
gene_end = orf2data[gene][3]
strand = orf2data[gene][4]
name = orf2data[gene][0]
new_min = start_x
new_max = start_x + width
norm_start = normalize(max(gene_start, start), start, end, new_min, new_max)
norm_end = normalize(min(gene_end, end), start, end, new_min, new_max)
if strand == "-":
if gene_start >= start:
draw.rectangle(((norm_start+triangle_size, start_y+5),(norm_end,start_y+gene_h-5)), fill="blue")
if doTriangle:
draw.polygon([(norm_start+triangle_size, start_y),(norm_start+triangle_size,start_y+gene_h), (norm_start,start_y+gene_h/2.0)], fill="blue" )
else:
draw.rectangle(((norm_start, start_y+5),(norm_end,start_y+gene_h-5)), fill="blue")
else:
if gene_end <= end:
draw.rectangle(((norm_start, start_y+5),(norm_end-triangle_size, start_y+gene_h-5)), fill="blue")
if doTriangle:
draw.polygon([(norm_end-triangle_size, start_y),(norm_end-triangle_size,start_y+gene_h), (norm_end,start_y+gene_h/2.0)], fill="blue" )
else:
draw.rectangle(((norm_start, start_y+5),(norm_end, start_y+gene_h-5)), fill="blue")
if name == "-": name = gene
if not name.startswith("non-coding"):
name_text_w, name_text_h = draw.textsize(name, font=font)
if abs(norm_start-norm_end) >= name_text_w:
draw.text(( norm_start + (abs(norm_start-norm_end) - name_text_w)/2.0 , start_y+gene_h+text_h), name, font=font, fill="black")
[docs]def get_dynamic_height(N):
#Set rest of heights and widths
read_h = 100
gene_h = 50
ta_h = 20
padding_h = 3
canvas_h = read_h*N + ta_h + gene_h + padding_h + padding_h + 80
return (canvas_h)
[docs]def draw_canvas(fulldata, position, hash, orf2data, feature_hashes, feature_data, labels=[], min_read=0, scale=[500], globalScale = False, start=1, end=500, canvas_h=-1, canvas_w=1000):
temp_image = Image.new("RGB",(200, 200),"white")
temp_draw = ImageDraw.Draw(temp_image)
#Set main draw object
N = len(fulldata)
Nfeat = len(feature_hashes)
#Set Labels
if not labels:
labels= ["Read Counts"]*N
GENES = []
FEATURES = [[] for j in range(len(feature_hashes))]
TA_SITES = []
READS = []
nc_count = 1
for j,data in enumerate(fulldata):
#print(j)
temp = []
for i,read in enumerate(data):
pos = position[i]
if start <= pos <= end:
gene = hash.get(pos,["non-coding"])[0]
if gene == "non-coding" and len(GENES) > 0 and not GENES[-1].startswith("non-coding"):
gene+="_%d" % nc_count
nc_count +=1
if j ==0:
if gene not in GENES: GENES.append(gene)
TA_SITES.append(pos)
for f,f_hash in enumerate(feature_hashes):
feat = f_hash.get(pos,["non-coding"])[0]
if feat not in FEATURES[f]: FEATURES[f].append(feat)
temp.append(read)
READS.append(temp)
max_reads = []
if globalScale:
max_reads = [int(numpy.max(READS))] * len(READS)
else:
for j,s in enumerate(scale):
#print(j,s)
if s < 0:
max_reads.append(int(numpy.max(READS[j])))
else:
max_reads.append(s)
#Get dynamic text widths
#print("Labels:")
max_label_w = 0
for L in labels:
label_text_w, label_text_h = temp_draw.textsize(L, font=font)
max_label_w = max(label_text_w, max_label_w)
#print(L)
scale_text_w, scale_text_h = temp_draw.textsize(str(max(max_reads)), font=font)
#Set rest of heights and widths
read_h = 100
gene_h = 50
ta_h = 20
padding_w = 3
padding_h = 3
read_w = canvas_w - (max_label_w + scale_text_w + padding_w + padding_w + 30)
if canvas_h == -1:
canvas_h = read_h*N + ta_h + gene_h + padding_h + padding_h + 80 + (gene_h+padding_h+50)*(Nfeat)
image = Image.new("RGB",(canvas_w, canvas_h),"white")
draw = ImageDraw.Draw(image)
lwd = 2
#print(READS)
#print("start", start)
#print("end", end)
#print(len(READS), len(TA_SITES))
#print("")
#for rd in READS:
# print(rd)
#print("")
start_x = max_label_w + padding_w + 21
draw.line([(start_x, 0), (start_x, canvas_h)], width=lwd, fill="black")
start_y = 0
half = 100*0.5
start_x += 5
for j in range(len(fulldata)):
temp_label_text_w, temp_label_text_h = temp_draw.textsize(labels[j], font=font)
label_text_x = (start_x/2.0) - (temp_label_text_w/2.0)
start_y+=read_h+padding_h
#draw.text((10, start_y - half), labels[j], font=font, fill="black")
draw.text((label_text_x, start_y - half), labels[j], font=font, fill="black")
draw_reads(draw, READS[j], TA_SITES, start_x, start_y, read_w, read_h, start, end, min_read, max_reads[j])
draw_scale(draw, start_x+read_w+padding_w+2, start_y-100+10, 70, max_reads[j])
start_y+=10
#start_x+=5
#TA sites
temp_label_text_w, temp_label_text_h = temp_draw.textsize('TA Sites', font=font)
label_text_x = (start_x/2.0) - (temp_label_text_w/2.0)
#draw.text((30, start_y),'TA Sites', font=font, fill="black")
draw.text((label_text_x, start_y),'TA Sites', font=font, fill="black")
draw_ta_sites(draw, TA_SITES, start_x, start_y, read_w, ta_h, start, end)
#Genes
temp_label_text_w, temp_label_text_h = temp_draw.textsize('Genes', font=font)
label_text_x = (start_x/2.0) - (temp_label_text_w/2.0)
start_y += 50
#draw.text((30, start_y+10),'Genes', font=font, fill="black")
draw.text((label_text_x, start_y+10),'Genes', font=font, fill="black")
width = read_w
draw_genes(draw, GENES, orf2data, start, end, start_x, start_y, width, gene_h)
start_y += gene_h -20#+ padding_h
#Features:
for f in range(len(FEATURES)):
start_y += gene_h + padding_h + 25
temp_label_text_w, temp_label_text_h = temp_draw.textsize('Feature-%d' % (f+1), font=font)
label_text_x = (start_x/2.0) - (temp_label_text_w/2.0)
draw.text((label_text_x, start_y+10),'Feature-%d' % (f+1), font=font, fill="black")
width = read_w
#print(FEATURES[f])
#draw_genes(draw, FEATURES[f], feature_data[f], start, end, start_x, start_y, width, gene_h))
draw_features(draw, FEATURES[f], feature_data[f], start, end, start_x, start_y, width, gene_h)
start_y +=10
return(image)