Mercurial > repos > iuc > bigwig_outlier_bed
comparison bigwig_outlier_bed.py @ 0:ebcd48f183b3 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/bigwig_outlier_bed commit 091caba3c5b066b293745ccee5cd31132fec3b4b
author | iuc |
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date | Fri, 05 Jul 2024 06:00:15 +0000 |
parents | |
children | 8377a6abb4da |
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-1:000000000000 | 0:ebcd48f183b3 |
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1 """ | |
2 Ross Lazarus June 2024 for VGP | |
3 Bigwigs are great, but hard to reliably "see" small low coverage or small very high coverage regions. | |
4 Colouring in JB2 tracks will need a new plugin, so this code will find bigwig regions above and below a chosen percentile point. | |
5 0.99 and 0.01 work well in testing with a minimum span of 10 bp. | |
6 Multiple bigwigs **with the same reference** can be combined - bed segments will be named appropriately | |
7 Combining multiple references works but is silly because only display will rely on one reference so others will not be shown... | |
8 Tricksy numpy method from http://gregoryzynda.com/python/numpy/contiguous/interval/2019/11/29/contiguous-regions.html | |
9 takes about 95 seconds for a 17MB test wiggle | |
10 JBrowse2 bed normally displays ignore the score, so could provide separate low/high bed file outputs as an option. | |
11 Update june 30 2024: wrote a 'no-build' plugin for beds to display red/blue if >0/<0 so those are used for scores | |
12 Bed interval naming must be short for JB2 but needs input bigwig name and (lo or hi). | |
13 """ | |
14 | |
15 import argparse | |
16 import copy | |
17 import os | |
18 import sys | |
19 from pathlib import Path | |
20 | |
21 import numpy as np | |
22 import pybigtools | |
23 | |
24 | |
25 class findOut: | |
26 | |
27 def __init__(self, args): | |
28 self.bwnames = args.bigwig | |
29 self.bwlabels = args.bigwiglabels | |
30 self.bedwin = args.minwin | |
31 self.qlo = args.qlo | |
32 self.qhi = args.qhi | |
33 self.outbeds = args.outbeds | |
34 self.bedouthi = args.bedouthi | |
35 self.bedoutlo = args.bedoutlo | |
36 self.bedouthilo = args.bedouthilo | |
37 self.tableoutfile = args.tableoutfile | |
38 self.bedwin = args.minwin | |
39 self.qhi = args.qhi | |
40 self.qlo = args.qlo | |
41 nbw = len(args.bigwig) | |
42 nlab = len(args.bigwiglabels) | |
43 if nlab < nbw: | |
44 self.bwlabels += ["Nolabel"] * (nbw - nlab) | |
45 self.makeBed() | |
46 | |
47 def processVals(self, bw, isTop): | |
48 """ | |
49 idea from http://gregoryzynda.com/python/numpy/contiguous/interval/2019/11/29/contiguous-regions.html | |
50 Fast segmentation into regions by taking np.diff on the boolean array of over (under) cutpoint indicators in bwex. | |
51 This only gives non-zero values at the segment boundaries where there's a change, so those zeros are all removed in bwexdnz | |
52 leaving an array of segment start/end positions. That's twisted around into an array of start/end coordinates. | |
53 Magical. Fast. Could do the same for means or medians over windows for sparse bigwigs like repeat regions. | |
54 """ | |
55 if isTop: | |
56 bwex = np.r_[False, bw >= self.bwtop, False] # extend with 0s | |
57 else: | |
58 bwex = np.r_[False, bw <= self.bwbot, False] | |
59 bwexd = np.diff(bwex) | |
60 bwexdnz = bwexd.nonzero()[0] | |
61 bwregions = np.reshape(bwexdnz, (-1, 2)) | |
62 return bwregions | |
63 | |
64 def writeBed(self, bed, bedfname): | |
65 """ | |
66 potentially multiple | |
67 """ | |
68 bed.sort() | |
69 beds = ["%s\t%d\t%d\t%s\t%d" % x for x in bed] | |
70 with open(bedfname, "w") as bedf: | |
71 bedf.write("\n".join(beds)) | |
72 bedf.write("\n") | |
73 | |
74 def makeTableRow(self, bw, bwlabel, chr): | |
75 """ | |
76 called for every contig, but messy inline | |
77 """ | |
78 bwmean = np.mean(bw) | |
79 bwstd = np.std(bw) | |
80 bwmax = np.max(bw) | |
81 nrow = np.size(bw) | |
82 bwmin = np.min(bw) | |
83 row = "%s\t%s\t%d\t%f\t%f\t%f\t%f" % ( | |
84 bwlabel, | |
85 chr, | |
86 nrow, | |
87 bwmean, | |
88 bwstd, | |
89 bwmin, | |
90 bwmax, | |
91 ) | |
92 if self.qhi is not None: | |
93 row += "\t%f" % self.bwtop | |
94 else: | |
95 row += "\t" | |
96 if self.qlo is not None: | |
97 row += "\t%f" % self.bwbot | |
98 else: | |
99 row += "\t" | |
100 return row | |
101 | |
102 def makeBed(self): | |
103 bedhi = [] | |
104 bedlo = [] | |
105 bwlabels = self.bwlabels | |
106 bwnames = self.bwnames | |
107 if self.tableoutfile: | |
108 restab = ["bigwig\tcontig\tn\tmean\tstd\tmin\tmax\tqtop\tqbot"] | |
109 for i, bwname in enumerate(bwnames): | |
110 bwlabel = bwlabels[i].replace(" ", "") | |
111 fakepath = "in%d.bw" % i | |
112 if os.path.isfile(fakepath): | |
113 os.remove(fakepath) | |
114 p = Path(fakepath) | |
115 p.symlink_to(bwname) # required by pybigtools (!) | |
116 bwf = pybigtools.open(fakepath) | |
117 chrlist = bwf.chroms() | |
118 chrs = list(chrlist.keys()) | |
119 chrs.sort() | |
120 for chr in chrs: | |
121 bw = bwf.values(chr) | |
122 bw = bw[~np.isnan(bw)] # some have NaN if parts of a contig not covered | |
123 if self.qhi is not None: | |
124 self.bwtop = np.quantile(bw, self.qhi) | |
125 bwhi = self.processVals(bw, isTop=True) | |
126 for j, seg in enumerate(bwhi): | |
127 if seg[1] - seg[0] >= self.bedwin: | |
128 bedhi.append((chr, seg[0], seg[1], "%s_hi" % (bwlabel), 1)) | |
129 if self.qlo is not None: | |
130 self.bwbot = np.quantile(bw, self.qlo) | |
131 bwlo = self.processVals(bw, isTop=False) | |
132 for j, seg in enumerate(bwlo): | |
133 if seg[1] - seg[0] >= self.bedwin: | |
134 bedlo.append((chr, seg[0], seg[1], "%s_lo" % (bwlabel), -1)) | |
135 if self.tableoutfile: | |
136 row = self.makeTableRow(bw, bwlabel, chr) | |
137 restab.append(copy.copy(row)) | |
138 if self.tableoutfile: | |
139 stable = "\n".join(restab) | |
140 with open(self.tableoutfile, "w") as t: | |
141 t.write(stable) | |
142 t.write("\n") | |
143 some = False | |
144 if self.qlo: | |
145 if self.outbeds in ["outall", "outlo", "outlohi"]: | |
146 self.writeBed(bedlo, self.bedoutlo) | |
147 some = True | |
148 if self.qhi: | |
149 if self.outbeds in ["outall", "outlohi", "outhi"]: | |
150 self.writeBed(bedhi, self.bedouthi) | |
151 some = True | |
152 if self.outbeds in ["outall", "outhilo"]: | |
153 allbed = bedlo + bedhi | |
154 self.writeBed(allbed, self.bedouthilo) | |
155 some = True | |
156 if not some: | |
157 sys.stderr.write( | |
158 "Invalid configuration - no output could be created. Was qlo missing and only low output requested for example?" | |
159 ) | |
160 sys.exit(2) | |
161 | |
162 | |
163 if __name__ == "__main__": | |
164 parser = argparse.ArgumentParser() | |
165 a = parser.add_argument | |
166 a("-m", "--minwin", default=10, type=int) | |
167 a("-l", "--qlo", default=None, type=float) | |
168 a("-i", "--qhi", default=None, type=float) | |
169 a("--bedouthi", default=None) | |
170 a("--bedoutlo", default=None) | |
171 a("--bedouthilo", default=None) | |
172 a("-w", "--bigwig", nargs="+") | |
173 a("-n", "--bigwiglabels", nargs="+") | |
174 a("-o", "--outbeds", default="outhilo", help="optional high and low combined bed") | |
175 a("-t", "--tableoutfile", default=None) | |
176 args = parser.parse_args() | |
177 findOut(args) |