Mercurial > repos > artbio > mutational_patterns

annotate mutational_patterns.R @ 17:8c6ee1c2248f draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e5d498dfc5a6a9aaea3d09037dea5d15c2d85dd2"
author artbio
date Tue, 05 Oct 2021 22:28:34 +0000
parents 31e7a33ecd71
children 8d9f31389f33
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924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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diff changeset
1 # load packages that are provided in the conda env
14
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2 options(show.error.messages = F,
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
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3 error = function() {
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
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4 cat(geterrmessage(), file = stderr()); q("no", 1, F)
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5 }
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
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6 )
0
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7 loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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8 warnings()
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9 library(optparse)
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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10 library(rjson)
2
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11 library(grid)
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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12 library(gridExtra)
4
7ba08c826888 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e2d6ed12516e1bd24071962a0dfe0220cc348f3c"
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13 library(scales)
7ba08c826888 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e2d6ed12516e1bd24071962a0dfe0220cc348f3c"
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14 library(RColorBrewer)
0
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15
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16 # Arguments
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17 option_list <- list(
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18 make_option(
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19 "--inputs",
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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20 default = NA,
14
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21 type = "character",
0
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22 help = "json formatted dictionary of datasets and their paths"
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23 ),
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24 make_option(
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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25 "--genome",
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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26 default = NA,
14
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27 type = "character",
0
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28 help = "genome name in the BSgenome bioconductor package"
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29 ),
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30 make_option(
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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31 "--levels",
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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32 default = NA,
14
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33 type = "character",
0
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34 help = "path to the tab separated file describing the levels in function of datasets"
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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35 ),
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36 make_option(
3
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37 "--cosmic_version",
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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38 default = "v2",
14
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39 type = "character",
3
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
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40 help = "Version of the Cosmic Signature set to be used to express mutational patterns"
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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41 ),
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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42 make_option(
0
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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43 "--signum",
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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44 default = 2,
14
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artbio
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45 type = "integer",
0
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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46 help = "selects the N most significant signatures in samples to express mutational patterns"
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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47 ),
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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48 make_option(
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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49 "--nrun",
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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50 default = 2,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
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51 type = "integer",
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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52 help = "Number of runs to fit signatures"
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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53 ),
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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54 make_option(
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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55 "--rank",
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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56 default = 2,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
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57 type = "integer",
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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58 help = "number of ranks to display for parameter optimization"
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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59 ),
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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60 make_option(
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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diff changeset
61 "--newsignum",
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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62 default = 2,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
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63 type = "integer",
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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64 help = "Number of new signatures to be captured"
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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65 ),
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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66 make_option(
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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67 "--output_spectrum",
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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68 default = NA,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
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69 type = "character",
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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70 help = "path to output dataset"
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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71 ),
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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72 make_option(
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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diff changeset
73 "--output_denovo",
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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74 default = NA,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
parents: 13
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75 type = "character",
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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76 help = "path to output dataset"
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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77 ),
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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78 make_option(
3
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
parents: 2
diff changeset
79 "--sigmatrix",
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
parents: 2
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80 default = NA,
14
56c8869a231e "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 518fb067e8206ecafbf673a5e4cf375ccead11e3"
artbio
parents: 13
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81 type = "character",
3
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
parents: 2
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82 help = "path to signature matrix"
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
parents: 2
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83 ),
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
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84 make_option(
2
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
parents: 0
diff changeset
85 "--output_cosmic",
0
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
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86 default = NA,
14
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artbio
parents: 13
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87 type = "character",
0
924c527fb379 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit e1f3ca871f13569401f41a5af9d0e281bf372540"
artbio
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88 help = "path to output dataset"
3
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
parents: 2
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89 ),
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
artbio
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90 make_option(
11
7995a949189f "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 94919d0f442fe7059afa2e07898c149b126a5460"
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91 "--sig_contrib_matrix",
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92 default = NA,
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93 type = "character",
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94 help = "path to signature contribution matrix"
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95 ),
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96 make_option(
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97 c("-r", "--rdata"),
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98 type = "character",
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99 default = NULL,
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100 help = "Path to RData output file"
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101 ),
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102 make_option(
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103 c("-t", "--tooldir"),
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104 type = "character",
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105 default = NULL,
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106 help = "Path to tool directory, where tool data are stored")
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107
0
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108 )
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109
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110 opt <- parse_args(OptionParser(option_list = option_list),
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111 args = commandArgs(trailingOnly = TRUE))
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112
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113 ################ Manage input data ####################
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114 json_dict <- opt$inputs
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115 parser <- newJSONParser()
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116 parser$addData(json_dict)
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117 fileslist <- parser$getObject()
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118 vcf_paths <- attr(fileslist, "names")
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119 element_identifiers <- unname(unlist(fileslist))
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120 ref_genome <- opt$genome
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121 vcf_table <- data.frame(element_identifier = as.character(element_identifiers), path = vcf_paths)
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122
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123 library(MutationalPatterns)
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124 library(ref_genome, character.only = TRUE)
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125 library(ggplot2)
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126
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127 # Load the VCF files into a GRangesList:
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128 vcfs <- read_vcfs_as_granges(vcf_paths, element_identifiers, ref_genome)
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129 library(plyr)
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130 if (!is.na(opt$levels)[1]) { # manage levels if there are
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131 levels_table <- read.delim(opt$levels, header = FALSE,
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132 col.names = c("element_identifier", "level"))
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133 } else {
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134 levels_table <- data.frame(element_identifier = vcf_table$element_identifier,
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135 level = rep("nolabels", length(vcf_table$element_identifier)))
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136 }
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137 metadata_table <- join(vcf_table, levels_table, by = "element_identifier")
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138 tissue <- as.vector(metadata_table$level)
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139 detach(package:plyr)
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140
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141 ##### This is done for any section ######
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142 mut_mat <- mut_matrix(vcf_list = vcfs, ref_genome = ref_genome)
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143 qual_col_pals <- brewer.pal.info[brewer.pal.info$category == "qual", ]
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144 col_vector <- unique(unlist(mapply(brewer.pal, qual_col_pals$maxcolors, rownames(qual_col_pals))))
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145 col_vector <- col_vector[c(-32, -34, -39)] # 67-color palette
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146
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147 ###### Section 1 Mutation characteristics and spectrums #############
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148 if (!is.na(opt$output_spectrum)[1]) {
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149 pdf(opt$output_spectrum, paper = "special", width = 11.69, height = 11.69)
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150 type_occurrences <- mut_type_occurrences(vcfs, ref_genome)
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151
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152 # mutation spectrum, total or by sample
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153
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154 if (length(levels(factor(levels_table$level))) == 1) {
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155 p1 <- plot_spectrum(type_occurrences, CT = TRUE, legend = TRUE)
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156 plot(p1)
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157 } else {
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158 p2 <- plot_spectrum(type_occurrences, by = tissue, CT = TRUE) # by levels
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159 p3 <- plot_spectrum(type_occurrences, CT = TRUE, legend = TRUE) # total
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160 grid.arrange(p2, p3, ncol = 2, widths = c(4, 2.3), heights = c(4, 1))
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161 }
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162 plot_96_profile(mut_mat, condensed = TRUE)
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163 dev.off()
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164 }
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165
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166 ###### Section 2: De novo mutational signature extraction using NMF #######
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167 # opt$rank cannot be higher than the number of samples and
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168 # likewise, opt$signum cannot be higher thant the number of samples
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169 if (!is.na(opt$output_denovo)[1]) {
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170
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171 if (opt$rank > length(element_identifiers)) {
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172 opt$rank <- length(element_identifiers)
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173 }
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174 if (opt$signum > length(element_identifiers)) {
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175 opt$signum <- length(element_identifiers)
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176 }
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177 pseudo_mut_mat <- mut_mat + 0.0001 # First add a small pseudocount to the mutation count matrix
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178 # Use the NMF package to generate an estimate rank plot
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179 library("NMF")
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180 estimate <- nmf(pseudo_mut_mat, rank = 1:opt$rank, method = "brunet", nrun = opt$nrun, seed = 123456)
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181 # And plot it
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182 pdf(opt$output_denovo, paper = "special", width = 11.69, height = 11.69)
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183 p4 <- plot(estimate)
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184 grid.arrange(p4)
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185 # Extract 4 (PARAMETIZE) mutational signatures from the mutation count matrix with extract_signatures
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186 # (For larger datasets it is wise to perform more iterations by changing the nrun parameter
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187 # to achieve stability and avoid local minima)
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188 nmf_res <- extract_signatures(pseudo_mut_mat, rank = opt$newsignum, nrun = opt$nrun)
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189 # Assign signature names
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190 colnames(nmf_res$signatures) <- paste0("NewSig_", 1:opt$newsignum)
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191 rownames(nmf_res$contribution) <- paste0("NewSig_", 1:opt$newsignum)
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192 # Plot the 96-profile of the signatures:
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193 p5 <- plot_96_profile(nmf_res$signatures, condensed = TRUE)
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194 new_sig_matrix <- reshape2::dcast(p5$data, substitution + context ~ sample, value.var = "freq")
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195 new_sig_matrix <- format(new_sig_matrix, scientific = TRUE)
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196 write.table(new_sig_matrix, file = opt$sigmatrix, quote = FALSE, row.names = FALSE, sep = "\t")
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197 grid.arrange(p5)
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198 # Visualize the contribution of the signatures in a barplot
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199 pc1 <- plot_contribution(nmf_res$contribution, nmf_res$signature, mode = "relative", coord_flip = TRUE)
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200 # Visualize the contribution of the signatures in absolute number of mutations
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201 pc2 <- plot_contribution(nmf_res$contribution, nmf_res$signature, mode = "absolute", coord_flip = TRUE)
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202 # Combine the two plots:
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203 grid.arrange(pc1, pc2)
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204
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205 # The relative contribution of each signature for each sample can also be plotted as a heatmap with
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206 # plot_contribution_heatmap, which might be easier to interpret and compare than stacked barplots.
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207 # The samples can be hierarchically clustered based on their euclidean dis- tance. The signatures
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208 # can be plotted in a user-specified order.
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209 # Plot signature contribution as a heatmap with sample clustering dendrogram and a specified signature order:
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210 pch1 <- plot_contribution_heatmap(nmf_res$contribution,
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211 sig_order = paste0("NewSig_", 1:opt$newsignum))
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212 # Plot signature contribution as a heatmap without sample clustering:
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213 pch2 <- plot_contribution_heatmap(nmf_res$contribution, cluster_samples = FALSE)
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214 #Combine the plots into one figure:
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215 grid.arrange(pch1, pch2, ncol = 2, widths = c(2, 1.6))
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216
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217 # Compare the reconstructed mutational profile with the original mutational profile:
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218 plot_compare_profiles(pseudo_mut_mat[, 1],
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219 nmf_res$reconstructed[, 1],
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220 profile_names = c("Original", "Reconstructed"),
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221 condensed = TRUE)
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222 dev.off()
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223 }
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224 ##### Section 3: Find optimal contribution of known signatures: COSMIC mutational signatures ####
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225
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226 if (!is.na(opt$output_cosmic)[1]) {
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227 # Prepare cosmic signatures
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228 cosmic_urls <- read.delim(paste0(opt$tooldir, "cosmic_urls.tsv"), sep = "\t", header = TRUE)
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229 cosmic_sbs_file <- cosmic_urls$url[cosmic_urls$genome == opt$genome &
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230 cosmic_urls$cosmic_version == opt$cosmic_version]
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231 cancer_sbs_signatures <- read.table(paste0(opt$tooldir, cosmic_sbs_file),
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232 sep = "\t", header = TRUE)
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233 row.names(cancer_sbs_signatures) <- cancer_sbs_signatures$Type
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234 new_order <- match(row.names(mut_mat), cancer_sbs_signatures$Type)
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235 cancer_sbs_signatures <- cancer_sbs_signatures[as.numeric(new_order), ]
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236 cosmic_tag <- paste(opt$genome, "COSMIC", opt$cosmic_version, sep = " ")
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237 cosmic_colors <- col_vector[seq_len(ncol(cancer_sbs_signatures) - 1)]
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238 names(cosmic_colors) <- colnames(cancer_sbs_signatures[2:length(cancer_sbs_signatures)])
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239 cancer_sbs_matrix <- as.matrix(cancer_sbs_signatures[, 2:length(cancer_sbs_signatures)])
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240
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241
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242 # Plot mutational profiles of the COSMIC signatures
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243 pdf(opt$output_cosmic, paper = "special", width = 11.69, height = 11.69)
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244 if (opt$cosmic_version == "v2") {
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245 p6 <- plot_96_profile(cancer_sbs_matrix, condensed = TRUE, ymax = 0.3)
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246 grid.arrange(p6, top = textGrob("COSMIC SBS signature profiles", gp = gpar(fontsize = 12, font = 3)))
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247 } else {
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248 p6 <- plot_96_profile(cancer_sbs_matrix[, 1:trunc(ncol(cancer_sbs_matrix) / 2)], condensed = TRUE, ymax = 0.3)
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249 p6bis <- plot_96_profile(cancer_sbs_matrix[, (trunc(ncol(cancer_sbs_matrix) / 2) + 1):ncol(cancer_sbs_matrix)],
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250 condensed = TRUE, ymax = 0.3)
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251 grid.arrange(p6, top = textGrob("COSMIC signature profiles (on two pages)",
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252 gp = gpar(fontsize = 12, font = 3)))
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253 grid.arrange(p6bis, top = textGrob("COSMIC signature profiles (continued)",
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254 gp = gpar(fontsize = 12, font = 3)))
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255 }
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256
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257
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258 # Find optimal contribution of COSMIC signatures to reconstruct 96 mutational profiles
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259 pseudo_mut_mat <- mut_mat + 0.0001 # First add a small pseudocount to the mutation count matrix
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260 fit_res <- fit_to_signatures(pseudo_mut_mat, cancer_sbs_matrix)
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261
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262 # Plot contribution barplots
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263 pc3 <- plot_contribution(fit_res$contribution, cancer_sbs_matrix, coord_flip = T, mode = "absolute")
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264 pc4 <- plot_contribution(fit_res$contribution, cancer_sbs_matrix, coord_flip = T, mode = "relative")
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265 if (is.na(opt$levels)[1]) { # if there are NO levels to display in graphs
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266 pc3_data <- pc3$data
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267 pc3 <- ggplot(pc3_data, aes(x = Sample, y = Contribution, fill = as.factor(Signature))) +
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268 geom_bar(stat = "identity", position = "stack") +
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269 coord_flip() +
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artbio
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270 scale_fill_manual(name = "Cosmic\nSignatures", values = cosmic_colors) +
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271 labs(x = "Samples", y = "Absolute contribution") + theme_bw() +
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272 theme(panel.grid.minor.x = element_blank(),
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273 panel.grid.major.x = element_blank(),
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274 legend.position = "right",
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275 text = element_text(size = 8),
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276 axis.text.x = element_text(angle = 90, hjust = 1))
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277 pc4_data <- pc4$data
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278 pc4 <- ggplot(pc4_data, aes(x = Sample, y = Contribution, fill = as.factor(Signature))) +
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279 geom_bar(stat = "identity", position = "fill") +
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280 coord_flip() +
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artbio
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281 scale_fill_manual(name = "Cosmic\nSignatures", values = cosmic_colors) +
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282 scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
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283 labs(x = "Samples", y = "Relative contribution") + theme_bw() +
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284 theme(panel.grid.minor.x = element_blank(), panel.grid.major.x = element_blank(), legend.position = "right",
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285 text = element_text(size = 8),
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286 axis.text.x = element_text(angle = 90, hjust = 1))
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287 }
3
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288 #####
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289 # ggplot2 alternative
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290 if (!is.na(opt$levels)[1]) { # if there are levels to display in graphs
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291 pc3_data <- pc3$data
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292 pc3_data <- merge(pc3_data, metadata_table[, c(1, 3)], by.x = "Sample", by.y = "element_identifier")
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293 pc3 <- ggplot(pc3_data, aes(x = Sample, y = Contribution, fill = as.factor(Signature))) +
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294 geom_bar(stat = "identity", position = "stack") +
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295 scale_fill_manual(name = "Cosmic\nSignatures", values = cosmic_colors) +
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296 labs(x = "Samples", y = "Absolute contribution") + theme_bw() +
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297 theme(panel.grid.minor.x = element_blank(),
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298 panel.grid.major.x = element_blank(),
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299 legend.position = "right",
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300 text = element_text(size = 8),
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301 axis.text.x = element_text(angle = 90, hjust = 1)) +
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302 facet_grid(~level, scales = "free_x", space = "free")
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303 pc4_data <- pc4$data
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304 pc4_data <- merge(pc4_data, metadata_table[, c(1, 3)], by.x = "Sample", by.y = "element_identifier")
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305 pc4 <- ggplot(pc4_data, aes(x = Sample, y = Contribution, fill = as.factor(Signature))) +
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306 geom_bar(stat = "identity", position = "fill") +
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307 scale_fill_manual(name = "Cosmic\nSignatures", values = cosmic_colors) +
3
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308 scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
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309 labs(x = "Samples", y = "Relative contribution") + theme_bw() +
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310 theme(panel.grid.minor.x = element_blank(),
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311 panel.grid.major.x = element_blank(),
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312 legend.position = "right",
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313 text = element_text(size = 8),
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314 axis.text.x = element_text(angle = 90, hjust = 1)) +
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315 facet_grid(~level, scales = "free_x", space = "free")
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316 }
2
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317 # Combine the two plots:
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318 grid.arrange(pc3, pc4,
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319 top = textGrob("Absolute and Relative Contributions of Cosmic signatures to mutational patterns",
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320 gp = gpar(fontsize = 12, font = 3)))
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321
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322 #### pie charts of comic signatures contributions in samples ###
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323 library(reshape2)
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324 library(dplyr)
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325 if (length(levels(factor(levels_table$level))) < 2) {
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326 fit_res_contrib <- as.data.frame(fit_res$contribution)
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327 worklist <- cbind(signature = rownames(fit_res$contribution),
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328 level = rep("nolabels", length(fit_res_contrib[, 1])),
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329 fit_res_contrib,
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330 sum = rowSums(fit_res_contrib))
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331 worklist <- worklist[order(worklist[, "sum"], decreasing = T), ]
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332 worklist <- worklist[1:opt$signum, ]
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333 worklist <- worklist[, -length(worklist[1, ])]
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334 worklist <- melt(worklist)
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335 worklist <- worklist[, c(1, 3, 4, 2)]
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336 } else {
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337 worklist <- list()
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338 for (i in levels(factor(levels_table$level))) {
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339 fit_res$contribution[, levels_table$element_identifier[levels_table$level == i]] -> worklist[[i]]
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diff changeset
340 sum <- rowSums(as.data.frame(worklist[[i]]))
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artbio
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341 worklist[[i]] <- cbind(worklist[[i]], sum)
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artbio
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diff changeset
342 worklist[[i]] <- worklist[[i]][order(worklist[[i]][, "sum"], decreasing = T), ]
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artbio
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diff changeset
343 worklist[[i]] <- worklist[[i]][1:opt$signum, ]
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artbio
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diff changeset
344 worklist[[i]] <- worklist[[i]][, -length(as.data.frame(worklist[[i]]))]
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345 }
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artbio
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diff changeset
346 worklist <- as.data.frame(melt(worklist))
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artbio
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diff changeset
347 worklist[, 2] <- paste0(worklist[, 4], " - ", worklist[, 2])
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348 }
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349
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350 colnames(worklist) <- c("signature", "sample", "value", "level")
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artbio
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diff changeset
351 worklist <- as.data.frame(worklist %>% group_by(sample) %>% mutate(value = value / sum(value) * 100))
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artbio
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352 worklist$pos <- cumsum(worklist$value) - worklist$value / 2
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artbio
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diff changeset
353 worklist$label <- factor(worklist$signature)
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artbio
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354 worklist$signature <- factor(worklist$signature)
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artbio
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diff changeset
355 p7 <- ggplot(worklist, aes(x = "", y = value, group = signature, fill = signature)) +
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artbio
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diff changeset
356 geom_bar(width = 1, stat = "identity") +
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artbio
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diff changeset
357 geom_text(aes(label = label), position = position_stack(vjust = 0.5), color = "black", size = 3) +
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artbio
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diff changeset
358 coord_polar("y", start = 0) + facet_wrap(.~sample) +
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artbio
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diff changeset
359 labs(x = "", y = "Samples", fill = cosmic_tag) +
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artbio
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diff changeset
360 scale_fill_manual(name = paste0(opt$signum, " most contributing\nsignatures\n(in each label/tissue)"),
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artbio
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diff changeset
361 values = cosmic_colors[levels(worklist$signature)]) +
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artbio
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diff changeset
362 theme(axis.text = element_blank(),
e0dad46148bf "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 75fd87e806f9bee2f6ff7fcd3834e55eb21d8710"
artbio
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diff changeset
363 axis.ticks = element_blank(),
e0dad46148bf "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 75fd87e806f9bee2f6ff7fcd3834e55eb21d8710"
artbio
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diff changeset
364 panel.grid = element_blank())
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artbio
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diff changeset
365 grid.arrange(p7)
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artbio
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diff changeset
366
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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367 # Plot relative contribution of the cancer signatures in each sample as a heatmap with sample clustering
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artbio
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diff changeset
368 if (length(vcf_paths) > 1) {
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artbio
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diff changeset
369 p8 <- plot_contribution_heatmap(fit_res$contribution, cluster_samples = TRUE, method = "complete")
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artbio
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diff changeset
370 grid.arrange(p8)
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artbio
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diff changeset
371 }
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372
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373 # export relative contribution matrix
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artbio
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374 if (!is.na(opt$sig_contrib_matrix)) {
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375 output_table <- t(fit_res$contribution) / rowSums(t(fit_res$contribution))
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376 if (length(levels(factor(levels_table$level))) > 1) {
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artbio
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377 output_table <- data.frame(sample = paste0(metadata_table[metadata_table$element_identifier == colnames(fit_res$contribution),
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378 3], "-", colnames(fit_res$contribution)),
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379 output_table)
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380 } else {
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381 output_table <- data.frame(sample = rownames(output_table), output_table)
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382 }
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383 write.table(output_table, file = opt$sig_contrib_matrix, sep = "\t", quote = F, row.names = F)
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384 }
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artbio
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385
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386 # calculate all pairwise cosine similarities
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387 cos_sim_ori_rec <- cos_sim_matrix(pseudo_mut_mat, fit_res$reconstructed)
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artbio
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diff changeset
388 # extract cosine similarities per sample between original and reconstructed
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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389 cos_sim_ori_rec <- as.data.frame(diag(cos_sim_ori_rec))
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artbio
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diff changeset
390
2
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391 # We can use ggplot to make a barplot of the cosine similarities between the original and
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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392 # reconstructed mutational profile of each sample. This clearly shows how well each mutational
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
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393 # profile can be reconstructed with the COSMIC mutational signatures. Two identical profiles
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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394 # have a cosine similarity of 1. The lower the cosine similarity between original and
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artbio
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395 # reconstructed, the less well the original mutational profile can be reconstructed with
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diff changeset
396 # the COSMIC signatures. You could use, for example, cosine similarity of 0.95 as a cutoff.
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diff changeset
397
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398 # Adjust data frame for plotting with gpplot
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artbio
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399 colnames(cos_sim_ori_rec) <- "cos_sim"
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artbio
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400 cos_sim_ori_rec$sample <- row.names(cos_sim_ori_rec)
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diff changeset
401 # Make barplot
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artbio
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diff changeset
402 p9 <- ggplot(cos_sim_ori_rec, aes(y = cos_sim, x = sample)) +
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artbio
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diff changeset
403 geom_bar(stat = "identity", fill = "skyblue4") +
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artbio
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diff changeset
404 coord_cartesian(ylim = c(0.8, 1)) +
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artbio
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diff changeset
405 # coord_flip(ylim=c(0.8,1)) +
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artbio
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diff changeset
406 ylab("Cosine similarity\n original VS reconstructed") +
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407 xlab("") +
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diff changeset
408 # Reverse order of the samples such that first is up
aea952be68cb "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit cd8f633245d53cf47eaf860a4e0ae8d806c34419"
artbio
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diff changeset
409 # xlim(rev(levels(factor(cos_sim_ori_rec$sample)))) +
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diff changeset
410 theme_bw() +
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artbio
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diff changeset
411 theme(panel.grid.minor.y = element_blank(),
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diff changeset
412 panel.grid.major.y = element_blank()) +
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413 # Add cut.off line
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diff changeset
414 geom_hline(aes(yintercept = .95))
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diff changeset
415 grid.arrange(p9, top = textGrob("Similarity between true and reconstructed profiles (with all Cosmic sig.)", gp = gpar(fontsize = 12, font = 3)))
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diff changeset
416 dev.off()
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417 }
3
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418
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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419
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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420 # Output RData file
e332cf9dfa06 "planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/mutational_patterns commit 0f7593f703ba0dfd12aea1c0460e371f08b57d2f"
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421 if (!is.null(opt$rdata)) {
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422 save.image(file = opt$rdata)
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423 }