annotate Static_Bubble_Plot_Cmdln.R @ 22:c0981e643ee6 draft

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author bornea
date Wed, 11 May 2016 11:41:18 -0400
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1 ###################################################################################################
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2 # R-code: APOSTL Global Variables
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3 # Author: Brent Kuenzi
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4 ################################## Dependencies ###################################################
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5 library(dplyr); library(tidyr); library(ggplot2); library(ggrepel)
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6 colors <- c("AirForceblue"="#5D8AA8","Aliceblue"="#F0F8FF","Alizarincrimson"="#E32636","Almond"="#EFDECD","Amaranth"="#E52B50","Amber"="#FFBF00","Americanrose"="#FF033E","Amethyst"="#9966CC","AndroidGreen"="#A4C639","Antiflashwhite"="#F2F3F4","Antiquebrass"="#CD9575","Antiquefuchsia"="#915C83","Antiquewhite"="#FAEBD7","Ao"="#008000","Applegreen"="#8DB600","Apricot"="#FBCEB1","Aqua"="#00FFFF","Aquamarine"="#7FFFD4","Armygreen"="#4B5320","Arsenic"="#3B444B","Arylideyellow"="#E9D66B","Ashgray"="#B2BEB5","Asparagus"="#87A96B","Atomictangerine"="#FF9966","Auburn"="#A52A2A","Aureolin"="#FDEE00","AuroMetalSaurus"="#6E7F80","Awesome"="#FF2052","Azure"="#007FFF","Azuremist"="#F0FFFF","Babyblue"="#89CFF0","Babyblueeyes"="#A1CAF1","Babypink"="#F4C2C2","BallBlue"="#21ABCD","BananaMania"="#FAE7B5","Bananayellow"="#FFE135","Battleshipgray"="#848482","Bazaar"="#98777B","Beaublue"="#BCD4E6","Beaver"="#9F8170","Beige"="#F5F5DC","Bisque"="#FFE4C4","Bistre"="#3D2B1F","Bittersweet"="#FE6F5E","Obsidian"="#000000","Onyx"="#000000","LostSoul"="#000000","Midnight"="#000000","RollingBlackout"="#000000","SleepingPanther"="#000000","VoidbyArmani"="#000000","BlanchedAlmond"="#FFEBCD","BleudeFrance"="#318CE7","BlizzardBlue"="#ACE5EE","Blond"="#FAF0BE","Blue"="#0000FF","BlueBell"="#A2A2D0","BlueGray"="#6699CC","Bluegreen"="#00DDDD","Blueviolet"="#8A2BE2","Blush"="#DE5D83","Bole"="#79443B","Bondiblue"="#0095B6","BostonUniversityRed"="#CC0000","Brandeisblue"="#0070FF","Brass"="#B5A642","Brickred"="#CB4154","Brightcerulean"="#1DACD6","Brightgreen"="#66FF00","Brightlavender"="#BF94E4","Brightmaroon"="#C32148","Brightpink"="#FF007F","Brightturquoise"="#08E8DE","Brightube"="#D19FE8","Brilliantlavender"="#F4BBFF","Brilliantrose"="#FF55A3","Brinkpink"="#FB607F","Britishracinggreen"="#004225","Bronze"="#CD7F32","Brown"="#964B00","Bubblegum"="#FFC1CC","Bubbles"="#E7FEFF","Buff"="#F0DC82","Bulgarianrose"="#480607","Burgundy"="#800020","Burlywood"="#DEB887","Burntorange"="#CC5500","Burntsienna"="#E97451","Burntumber"="#8A3324","Byzantine"="#BD33A4","Byzantium"="#702963","Cadet"="#536872","Cadetblue"="#5F9EA0","Cadetgray"="#91A3B0","CadmiumGreen"="#006B3C","CadmiumOrange"="#ED872D","CadmiumRed"="#E30022","CadmiumYellow"="#FFF600","CalPolyPomonagreen"="#1E4D2B","CambridgeBlue"="#A3C1AD","Camel"="#C19A6B","Camouflagegreen"="#78866B","Canaryyellow"="#FFEF00","Candyapplered"="#FF0800","Candypink"="#E4717A","Capri"="#00BFFF","Caputmortuum"="#592720","Cardinal"="#C41E3A","Caribbeangreen"="#00CC99","Carmine"="#960018","Carminepink"="#EB4C42","Carminered"="#FF0038","Carnationpink"="#FFA6C9","Carnelian"="#B31B1B","Carolinablue"="#99BADD","Carrotorange"="#ED9121","Ceil"="#92A1CF","Celadon"="#ACE1AF","Celestialblue"="#4997D0","Cerise"="#DE3163","Cerisepink"="#EC3B83","Cerulean"="#007BA7","Ceruleanblue"="#2A52BE","CGBlue"="#007AA5","CGRed"="#E03C31","Chamoisee"="#A0785A","Champagne"="#F7E7CE","Charcoal"="#36454F","Chartreuse"="#DFFF00","Cherryblossompink"="#FFB7C5","Chestnut"="#CD5C5C","Chocolate"="#7B3F00","Chromeyellow"="#FFA700","Cinereous"="#98817B","Cinnabar"="#E34234","Cinnamon"="#D2691E","Citrine"="#E4D00A","Classicrose"="#FBCCE7","Cobalt"="#0047AB","Coffee"="#C86428","Columbiablue"="#9BDDFF","Coolblack"="#002E63","Coolgray"="#8C92AC","Copper"="#B87333","Copperrose"="#996666","Coquelicot"="#FF3800","Coral"="#FF7F50","Coralpink"="#F88379","Coralred"="#FF4040","Cordovan"="#893F45","Corn"="#FBEC5D","Cornflowerblue"="#6495ED","Cornsilk"="#FFF8DC","Cosmiclatte"="#FFF8E7","Cottoncandy"="#FFBCD9","Cream"="#FFFDD0","Crimson"="#DC143C","Crimsonglory"="#BE0032","Cyan"="#00B7EB","Daffodil"="#FFFF31","Dandelion"="#F0E130","Darkblue"="#00008B","Darkbrown"="#654321","Darkbyzantium"="#5D3954","Darkcandyapplered"="#A40000","Darkcerulean"="#08457E","Darkchampagne"="#C2B280","Darkchestnut"="#986960","Darkcoral"="#CD5B45","Darkcyan"="#008B8B","Darkelectricblue"="#536878","Darkgoldenrod"="#B8860B","Darkgray"="#A9A9A9","Darkgreen"="#013220","Darkjunglegreen"="#1A2421","Darkkhaki"="#BDB76B","Darklava"="#483C32","Darklavender"="#734F96","Darkmagenta"="#8B008B","Darkmidnightblue"="#003366","Darkolivegreen"="#556B2F","Darkorange"="#FF8C00","Darkorchid"="#9932CC","Darkpastelblue"="#779ECB","Darkpastelgreen"="#03C03C","Darkpastelpurple"="#966FD6","Darkpastelred"="#C23B22","Darkpink"="#E75480","Darkpowderblue"="#003399","Darkraspberry"="#872657","Darkred"="#8B0000","Darksalmon"="#E9967A","Darkscarlet"="#560319","Darkseagreen"="#8FBC8F","Darksienna"="#3C1414","Darkslateblue"="#483D8B","Darkslategray"="#2F4F4F","Darkspringgreen"="#177245","Darktan"="#918151","Darktangerine"="#FFA812","Darkterracotta"="#CC4E5C","Darkturquoise"="#00CED1","Darkviolet"="#9400D3","Dartmouthgreen"="#00693E","Davysgray"="#555555","Debianred"="#D70A53","Deepcarmine"="#A9203E","Deepcarminepink"="#EF3038","Deepcarrotorange"="#E9692C","Deepcerise"="#DA3287","Deepchampagne"="#FAD6A5","Deepchestnut"="#B94E48","Deepfuchsia"="#C154C1","Deepjunglegreen"="#004B49","Deeplilac"="#9955BB","Deepmagenta"="#CC00CC","Deeppeach"="#FFCBA4","Deeppink"="#FF1493","Deepsaffron"="#FF9933","Denim"="#1560BD","Desertsand"="#EDC9AF","Dimgray"="#696969","Dodgerblue"="#1E90FF","Dogwoodrose"="#D71868","Dollarbill"="#85BB65","Drab"="#967117","Dukeblue"="#00009C","Earthyellow"="#E1A95F","Eggplant"="#614051","Eggshell"="#F0EAD6","Egyptianblue"="#1034A6","Electricblue"="#7DF9FF","Electriccrimson"="#FF003F","Electricgreen"="#00FE00","Electricindigo"="#6F00FF","Electriclime"="#CCFF00","Electricpurple"="#BF00FF","Electricultramarine"="#3F00FF","Electricviolet"="#8F00FF","Electricyellow"="#FFFE00","Emerald"="#50C878","Etonblue"="#96C8A2","Falured"="#801818","Fandango"="#B53389","Fashionfuchsia"="#F400A1","Fawn"="#E5AA70","Feldgrau"="#4D5D53","Ferngreen"="#4F7942","FerrariRed"="#FF2800","Fielddrab"="#6C541E","Firebrick"="#B22222","Fireenginered"="#CE2029","Flame"="#E25822","Flamingopink"="#FC8EAC","Flavescent"="#F7E98E","Flax"="#EEDC82","Floralwhite"="#FFFAF0","Folly"="#FF004F","Forestgreen"="#014421","Frenchbeige"="#A67B5B","Frenchblue"="#0072BB","Frenchlilac"="#86608E","Frenchrose"="#F64A8A","Fuchsia"="#FF00FF","Fuchsiapink"="#FF77FF","Fulvous"="#E48400","FuzzyWuzzy"="#CC6666","Gainsboro"="#DCDCDC","Gamboge"="#E49B0F","Ghostwhite"="#F8F8FF","Ginger"="#B06500","Glaucous"="#6082B6","Gold"="#D4AF37","Goldenbrown"="#996515","Goldenpoppy"="#FCC200","Goldenrod"="#DAA520","Goldenyellow"="#FFDF00","GrannySmithApple"="#A8E4A0","Gray"="#808080","Grayasparagus"="#465945","Green"="#00FF00","Greenyellow"="#ADFF2F","Grullo"="#A99A86","Guppiegreen"="#00FF7F","Halayaube"="#663854","Hanblue"="#446CCF","Hanpurple"="#5218FA","Harlequin"="#3FFF00","Harvardcrimson"="#C90016","HarvestGold"="#DA9100","Heliotrope"="#DF73FF","Honeydew"="#F0FFF0","Hookersgreen"="#007000","Hotmagenta"="#FF1DCE","Hotpink"="#FF69B4","Huntergreen"="#355E3B","Iceberg"="#71A6D2","Icterine"="#FCF75E","Inchworm"="#B2EC5D","Indiagreen"="#138808","Indianyellow"="#E3A857","Indigo"="#00416A","InternationalKleinBlue"="#002FA7","Internationalorange"="#FF4F00","Iris"="#5A4FCF","Isabelline"="#F4F0EC","Islamicgreen"="#009000","Ivory"="#FFFFF0","Jade"="#00A86B","Jasmine"="#F8DE7E","Jasper"="#D73B3E","Jazzberryjam"="#A50B5E","Jonquil"="#FADA5E","Junebud"="#BDDA57","Junglegreen"="#29AB87","Kellygreen"="#4CBB17","Khaki"="#C3B091","KUCrimson"="#E8000D","Languidlavender"="#D6CADD","Lapislazuli"="#26619C","LaSalleGreen"="#087830","LaserLemon"="#FEFE22","Lava"="#CF1020","Lavender"="#B57EDC","Lavenderblue"="#CCCCFF","Lavenderblush"="#FFF0F5","Lavendergray"="#C4C3D0","Lavenderindigo"="#9457EB","Lavendermagenta"="#EE82EE","Lavendermist"="#E6E6FA","Lavenderpink"="#FBAED2","Lavenderpurple"="#967BB6","Lavenderrose"="#FBA0E3","Lawngreen"="#7CFC00","Lemon"="#FFF700","Lemonchiffon"="#FFFACD","Lightapricot"="#FDD5B1","Lightblue"="#ADD8E6","Lightbrown"="#B5651D","Lightcarminepink"="#E66771","Lightcoral"="#F08080","Lightcornflowerblue"="#93CCEA","LightCrimson"="#F56991","Lightcyan"="#E0FFFF","Lightfuchsiapink"="#F984EF","Lightgoldenrodyellow"="#FAFAD2","Lightgray"="#D3D3D3","Lightgreen"="#90EE90","Lightkhaki"="#F0E68C","Lightmauve"="#DCD0FF","Lightpastelpurple"="#B19CD9","Lightpink"="#FFB6C1","Lightsalmon"="#FFA07A","Lightsalmonpink"="#FF9999","Lightseagreen"="#20B2AA","Lightskyblue"="#87CEFA","Lightslategray"="#778899","Lighttaupe"="#B38B6D","LightThulianpink"="#E68FAC","Lightyellow"="#FFFFED","Lilac"="#C8A2C8","Lime"="#BFFF00","Limegreen"="#32CD32","Lincolngreen"="#195905","Linen"="#FAF0E6","Liver"="#534B4F","Lust"="#E62020","Magenta"="#CA1F7B","Magicmint"="#AAF0D1","Magnolia"="#F8F4FF","Mahogany"="#C04000","MajorelleBlue"="#6050DC","Malachite"="#0BDA51","Manatee"="#979AAA","MangoTango"="#FF8243","Maroon"="#800000","Mauve"="#E0B0FF","Mauvelous"="#EF98AA","Mauvetaupe"="#915F6D","Mayablue"="#73C2FB","Meatbrown"="#E5B73B","Mediumaquamarine"="#66DDAA","Mediumblue"="#0000CD","Mediumcandyapplered"="#E2062C","Mediumcarmine"="#AF4035","Mediumchampagne"="#F3E5AB","Mediumelectricblue"="#035096","Mediumjunglegreen"="#1C352D","Mediumlavendermagenta"="#DDA0DD","Mediumorchid"="#BA55D3","MediumPersianblue"="#0067A5","Mediumpurple"="#9370DB","Mediumredviolet"="#BB3385","Mediumseagreen"="#3CB371","Mediumslateblue"="#7B68EE","Mediumspringbud"="#C9DC87","Mediumspringgreen"="#00FA9A","Mediumtaupe"="#674C47","Mediumtealblue"="#0054B4","Mediumturquoise"="#48D1CC","Mediumvioletred"="#C71585","Melon"="#FDBCB4","Midnightblue"="#191970","Midnightgreen"="#004953","Mikadoyellow"="#FFC40C","Mint"="#3EB489","Mintcream"="#F5FFFA","Mintgreen"="#98FF98","Mistyrose"="#FFE4E1","Moonstoneblue"="#73A9C2","Mordantred19"="#AE0C00","Mossgreen"="#ADDFAD","MountainMeadow"="#30BA8F","Mountbattenpink"="#997A8D","MSUGreen"="#18453B","Mulberry"="#C54B8C","Mustard"="#FFDB58","Myrtle"="#21421E","Nadeshikopink"="#F6ADC6","Napiergreen"="#2A8000","Navajowhite"="#FFDEAD","Navy"="#000080","NeonCarrot"="#FFA343","Neonfuchsia"="#FE59C2","Neongreen"="#39FF14","Nonphotoblue"="#A4DDED","OceanBoatBlue"="#0077BE","Ochre"="#CC7722","Oldgold"="#CFB53B","Oldlace"="#FDF5E6","Oldlavender"="#79687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"="#C5B358","Venetianred"="#C80815","Verdigris"="#43B3AE","Veronica"="#A020F0","Violet"="#7F00FF","Viridian"="#40826D","Vividauburn"="#922724","Vividburgundy"="#9F1D35","Vividcerise"="#DA1D81","Vividtangerine"="#FFA089","Vividviolet"="#9F00FF","Warmblack"="#004242","Wenge"="#645452","Wheat"="#F5DEB3","White"="#FFFFFF","Whitesmoke"="#F5F5F5","Wildblueyonder"="#A2ADD0","WildStrawberry"="#FF43A4","WildWatermelon"="#FC6C85","Wine"="#722F37","Wisteria"="#C9A0DC","Xanadu"="#738678","YaleBlue"="#0F4D92","Yellow"="#FFFF00","Yellowgreen"="#9ACD32","YellowOrange"="#FFEF02","Zaffre"="#0014A8","Zinnwalditebrown"="#2C1608")
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7 ################################# Read in Data ####################################################
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8 ## REQUIRED INPUTS ##
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9 # 1) listfile (filename)
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10 #listfile <- "EGFR_list.txt"
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11 # 2) Prey File (filename)
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12 #preyfile <- "EGFR_prey.txt"
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13 # 3) crapome File (filename or FALSE)
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14 #crapfile <- "EGFR_crap.txt"
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15 # 4) Inter File (filename)
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16 #interfile <- "inter.txt"
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17 # 5) X axis ("ln(NSAF)","SpecSum", "log2(FoldChange)", "SaintScore", "logOddsScore","NSAFScore")
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18 #input.main.x <- "ln(NSAF)"
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19 # 6) Y axis ("ln(NSAF)","SpecSum", "log2(FoldChange)", "SaintScore", "logOddsScore","NSAFScore")
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20 #input.main.y <- "log2(FoldChange)"
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21 # 7) Bubble Size ("ln(NSAF)","SpecSum", "log2(FoldChange)", "SaintScore", "logOddsScore","NSAFScore")
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22 #input.main.size <- "SpecSum"
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23 # 8) Coloring ("fixed" or "crapome")
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24 #input.main.color <- "crapome"
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25 # 9) Saint Score Cutoff (0 - 1)
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26 #input.SS_cutoff <- 0.8
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27 # 10) Fold change Cutoff (-inf - inf)
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28 #input.FC_cutoff <- 0
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29 # 11) NSAF Score Cutoff (-inf - inf)
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30 #input.NS_cutoff <- 0
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31 # 12) Plotting Theme ("Default","b/w","minimal","classic","dark","linedraw")
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diff changeset
32 #input.plot_theme <- "Default"
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33 # 13) Bubble Labels ("none",">cutoff","all")
18
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diff changeset
34 #input.bubble_label <- ">cutoff"
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35 # 14) Label Color ("white","black")
18
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diff changeset
36 #input.label_color <- "black"
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37 # 15) Bubble Color (colors listed above)
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38 #input.bubble_color <- colors[["Alizarin crimson"]]
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39 # 16) Bubble outline color ("white","black")
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40 #input.outline_color <- "black"
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41 # 17) CRAPome Filtered Bubble Color (colors listed above)
18
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42 #input.filt_color <- colors[["Tan"]]
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43 # 18) Bubble scale ((0-100),(0-100)) # SECOND NUMBER MUST BE LARGER THAN OR EQUAL TO THE FIRST
18
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diff changeset
44 #input.plot_scale <- c(0,10)
15
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45 # 19) File Type (".pdf",".png",".tif",".svg",".eps",".jpg")
18
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diff changeset
46 #input.file_type <- ".png"
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47
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48 ################################################################################
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49 # Define merge function and calculate crapome %
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diff changeset
50 merge_files <- function(SAINT_DF, prey_DF, crapome=FALSE) {
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51 SAINT <- read.table(SAINT_DF, sep='\t', header=TRUE)
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52 prey <- read.table(prey_DF, sep='\t', header=FALSE); colnames(prey) <- c("Prey", "Length", "PreyGene")
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diff changeset
53 DF <- merge(SAINT,prey)
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parents:
diff changeset
54
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bornea
parents:
diff changeset
55 if(crapome!=FALSE) {
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bornea
parents:
diff changeset
56 crapome <- read.table(crapome, sep='\t', header=TRUE)
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bornea
parents:
diff changeset
57 colnames(crapome) <- c("Prey", "Symbol", "Num.of.Exp", "Ave.SC", "Max.SC")
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58 DF1 <- merge(DF, crapome); as.character(DF1$Num.of.Exp); DF1$Symbol <- NULL;
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59 DF1$Ave.SC <- NULL; DF1$Max.SC <- NULL #remove unnecessary columns
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60 DF1$Num.of.Exp <- sub("^$", "0 / 1", DF1$Num.of.Exp ) #replace blank values with 0 / 1
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61 DF <- DF1 %>% separate(Num.of.Exp, c("NumExp", "TotalExp"), " / ") #split into 2 columns
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62 DF$CrapomePCT <- round(100 - (as.integer(DF$NumExp) / as.integer(DF$TotalExp) * 100), digits=2) #calculate crapome %
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63
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64 }
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65 DF$FoldChange <- round(log2(DF$FoldChange),digits=2)
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66 colnames(DF)[(colnames(DF)=="FoldChange")] <- "log2(FoldChange)"
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67
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68 DF$SAF <- DF$AvgSpec / DF$Length
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69 by_bait <- DF %>% group_by(Bait) %>% mutate("NSAF" = SAF/sum(SAF))
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70 by_bait$SAF <- NULL
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71 return(by_bait[!duplicated(by_bait),])
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72 }
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73 ################################################################################
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74 bubblebeam <- function(main.data,main.exclude,main.x,main.y,main.size,main.color,SS_cutoff,FC_cutoff,NS_cutoff,
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75 plot_theme,bubble_label,label_color,bubble_color,
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76 outline_color,filt_color,plot_scale, file_type){
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77 str_x=paste0(main.x)
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bornea
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78 str_y=paste0(main.y)
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bornea
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79 str_color=paste0(main.color)
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bornea
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80 str_size=paste0(main.size)
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bornea
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81 str_cutoff= paste0(SS_cutoff)
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82 str_label= bubble_label
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83 scl_size = plot_scale
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84 main.data2 <- main.data[!(main.data$PreyGene %in% main.exclude),]
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85 main.data2 <- subset(main.data2, main.data2[(colnames(main.data2)=="log2(FoldChange)")] >= FC_cutoff)
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86 main.data2 <- subset(main.data2, main.data2[(colnames(main.data2)=="NSAFScore")] >= NS_cutoff)
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87
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88 c <- subset(main.data2, SaintScore>=as.numeric(str_cutoff), select = c(str_x,str_y,"Bait","PreyGene",str_size))
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89 colnames(c) <- c("x","y","Bait","PreyGene","size")
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90 p <- ggplot(data=c, x=x, y=y,size=size)+ geom_point(data=c, aes(x=x, y=y,size=size), fill=bubble_color,color=outline_color,pch=21) + scale_size(range=scl_size)
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91 p <- p + labs(x=str_x, y=str_y, size=str_size) + scale_size(range=scl_size)
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92 if(length(levels(c$Bait) > 1)) {p <- p + facet_wrap(~Bait)}
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93 if(str_label== 'all' & length(c$x)>=1) {set.seed=42; p <- p + ggrepel::geom_text_repel(data=c, aes(x=x,y=y,label=PreyGene),
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94 segment.color="black",force=1, fontface='bold',
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bornea
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95 box.padding=unit(0.25,'lines'),
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bornea
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96 point.padding=unit(0.25,'lines'),
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bornea
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97 max.iter=1e4, segment.size=0.5)}
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bornea
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98 if(plot_theme== "classic") {p <- p + theme_classic()}
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bornea
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diff changeset
99 if(plot_theme== "b/w") {p <- p + theme_bw()}
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bornea
parents:
diff changeset
100 if(plot_theme== "minimal") {p <- p + theme_minimal()}
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bornea
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101 if(plot_theme== "dark") {p <- p + theme_dark()}
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bornea
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102 if(plot_theme== "linedraw") {p <- p + theme_linedraw()}
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103
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104
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105
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106 if(str_color=="crapome") {
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107 a <- subset(main.data2, CrapomePCT <80 & SaintScore >=as.numeric(str_cutoff), select = c(str_x,str_y,"Bait","PreyGene",str_size,"CrapomePCT"))
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108 b <- subset(main.data2, CrapomePCT >=80 & SaintScore >=as.numeric(str_cutoff), select = c(str_x,str_y,"Bait","PreyGene",str_size,"CrapomePCT"))
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109 colnames(a) <- c("x","y","Bait","PreyGene","size", "CrapomePCT")
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110 colnames(b) <- c("x","y","Bait","PreyGene","size","CrapomePCT")
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111 p <- ggplot(data=a, x=x, y=y,size=size) + geom_point(data=a,aes(x=x,y=y,size=size),fill=filt_color,pch=21,color=outline_color) +
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112 scale_size(range=scl_size)
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113 if(length(levels(a$Bait) > 1)) {p <- p + facet_wrap(~Bait)}
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114 if(str_label== "all" & length(a$x)>=1) {set.seed=42; p <- p + ggrepel::geom_text_repel(data=a, aes(x=x,y=y,label=PreyGene),
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115 segment.color=label_color,force=1, fontface='bold',
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116 box.padding=unit(0.25,'lines'),
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117 point.padding=unit(0.25,'lines'),
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118 color=label_color,
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119 max.iter=1e4, segment.size=0.5)}
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120
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121 p <- p + geom_point(data=b, aes(x=x, y=y, size=size, fill=CrapomePCT),color=outline_color,pch=21) +
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122 scale_fill_gradient(limits=c(80, 100), low=filt_color, high=bubble_color) +
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123 labs(colour="CRAPome Probability \nof Specific Interaction (%)", x=str_x, y=str_y,size=str_size)
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124 if(str_label== '>cutoff' & length(b$x)>=1) {set.seed=42; p <- p + ggrepel::geom_text_repel(data=b, aes(x=x,y=y,label=PreyGene),
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125 segment.color=label_color,force=1, fontface='bold',
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bornea
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126 box.padding=unit(0.25,'lines'),
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bornea
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127 point.padding=unit(0.25,'lines'),
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bornea
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128 color=label_color,
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129 max.iter=1e4, segment.size=0.5)}
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130 if(str_label== 'all' & length(b$x)>=1) {set.seed=42; p <- p + ggrepel::geom_text_repel(data=b, aes(x=x,y=y,label=PreyGene),
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diff changeset
131 segment.color=label_color,force=1, fontface='bold',
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bornea
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diff changeset
132 box.padding=unit(0.25,'lines'),
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bornea
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133 point.padding=unit(0.25,'lines'),
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bornea
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diff changeset
134 color=label_color,
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bornea
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diff changeset
135 max.iter=1e4, segment.size=0.5)}
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bornea
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136 if(plot_theme== "classic") {p <- p + theme_classic()}
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bornea
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diff changeset
137 if(plot_theme== "b/w") {p <- p + theme_bw()}
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bornea
parents:
diff changeset
138 if(plot_theme== "minimal") {p <- p + theme_minimal()}
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bornea
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diff changeset
139 if(plot_theme== "dark") {p <- p + theme_dark()}
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bornea
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diff changeset
140 if(plot_theme== "linedraw") {p <- p + theme_linedraw()}
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bornea
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141 }
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142 p <- p + theme(axis.title.y = element_text(size=rel(1.5),face="bold"),
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bornea
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diff changeset
143 axis.title.x = element_text(size=rel(1.5),face="bold"),
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bornea
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diff changeset
144 axis.text.x = element_text(size=rel(1.5),face="bold"),
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bornea
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diff changeset
145 axis.text.y = element_text(size=rel(1.5),face="bold"),
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bornea
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diff changeset
146 strip.text.x = element_text(size=rel(1.5),face="bold"),
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bornea
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diff changeset
147 legend.text = element_text(face="bold"),
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bornea
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148 legend.title = element_text(face="bold"))
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bornea
parents:
diff changeset
149 if(file_type == ".png"){png(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
parents:
diff changeset
150 if(file_type == ".pdf"){pdf(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
parents:
diff changeset
151 if(file_type == ".tif"){tiff(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
parents:
diff changeset
152 if(file_type == ".jpg"){jpeg(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
parents:
diff changeset
153 if(file_type == ".svg"){svg(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
parents:
diff changeset
154 if(file_type == ".eps"){postscript(paste("BubbleGraph",file_type,sep="")); print(p); dev.off()}
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bornea
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155 }
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156 ################################################################################
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diff changeset
157 args <- commandArgs(trailingOnly = TRUE)
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158 working <- as.data.frame(merge_files(args[1], args[2], args[3]))
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159 inter_df <- read.table(args[4], sep='\t', header=FALSE)
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160 working$temp <- strsplit(as.character(working$ctrlCounts),"[|]")
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161 cnt <- 0
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parents:
diff changeset
162 for(i in working$temp){
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163 cnt <- cnt+1
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164 working$ctrl_mean[cnt] <- mean(as.numeric(unlist(i)))
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165 working$ctrl_number[cnt] <- length(i)}
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166 working$ctrl_SAF <- working$ctrl_mean / working$Length
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167 main.data <- working %>% group_by(Bait) %>% mutate("control_NSAF" = ctrl_SAF/sum(ctrl_SAF))
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168 ctrl_SAF_constant <- 1/mean(main.data$ctrl_SAF)
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169 # add ctrl_SAF_constant to prevent dividing by 0
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170 cnt <- 0
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171 for(i in main.data$control_NSAF){
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172 cnt <- cnt + 1
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173 main.data$nsafScore[cnt] <- ((main.data$NSAF[cnt])+ctrl_SAF_constant)/((i/main.data$ctrl_number[cnt])+ctrl_SAF_constant)
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174 }
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175 main.data$NSAF <- log(main.data$NSAF)
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176 main.data$nsafScore <- log(main.data$nsafScore)
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177 main.data <- filter(main.data, NSAF > -Inf)
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178 colnames(main.data)[colnames(main.data)=="NSAF"] <- "ln(NSAF)"
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179 colnames(main.data)[colnames(main.data)=="nsafScore"] <- "NSAFScore"
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180 main.data$SAF <- NULL; main.data$ctrl_SAF <- NULL
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bornea
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181 main.data$control_NSAF <- NULL; main.data$temp <- NULL
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182 main.data$ctrl_mean <- NULL
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183 ################################################################################
18
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184 if (args[7] == "fixed"){
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185 input.main.size <- "SpecSum"
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186 input.plot_scale <- c(2,2)
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187 } else {
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188 input.main.size <- args[7]
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189 input.plot_scale <- c(0,10)
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190 }
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191 input.bubble_color <- colors[[args[15]]]
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192 input.filt_color <- colors[[args[17]]]
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193 bubblebeam(main.data = main.data, main.exclude = FALSE,main.x = args[5],
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diff changeset
194 main.y = args[6],main.size = input.main.size,main.color = args[8],
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195 SS_cutoff = args[9],FC_cutoff = args[10],
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196 NS_cutoff = args[11], plot_theme = args[12],
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197 bubble_label = args[13],label_color = args[14],
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198 bubble_color = input.bubble_color, outline_color = args[16],
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diff changeset
199 filt_color = input.filt_color, plot_scale = input.plot_scale,
15
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parents:
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200 file_type = ".png")
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bornea
parents:
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201 ################################################################################
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parents:
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202
18
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bornea
parents: 15
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203