To illustrate the quantitative data and quality control of MS runs, dataProcessPlotsTMT takes the quantitative data from converter functions (PDtoMSstatsTMTFormat, MaxQtoMSstatsTMTFormat, SpectroMinetoMSstatsTMTFormat) as input and generate two types of figures in pdf files as output : (1) profile plot (specify "ProfilePlot" in option type), to identify the potential sources of variation for each protein; (2) quality control plot (specify "QCPlot" in option type), to evaluate the systematic bias between MS runs.

dataProcessPlotsTMT(
  data.peptide,
  data.summarization,
  type,
  ylimUp = FALSE,
  ylimDown = FALSE,
  x.axis.size = 10,
  y.axis.size = 10,
  text.size = 4,
  text.angle = 90,
  legend.size = 7,
  dot.size.profile = 2,
  ncol.guide = 5,
  width = 10,
  height = 10,
  which.Protein = "all",
  originalPlot = TRUE,
  summaryPlot = TRUE,
  address = ""
)

Arguments

data.peptide

name of the data with peptide level, which can be the output of converter functions(PDtoMSstatsTMTFormat, MaxQtoMSstatsTMTFormat, SpectroMinetoMSstatsTMTFormat).

data.summarization

name of the data with protein-level, which can be the output of proteinSummarization function.

type

choice of visualization. "ProfilePlot" represents profile plot of log intensities across MS runs. "QCPlot" represents box plots of log intensities across channels and MS runs.

ylimUp

upper limit for y-axis in the log scale. FALSE(Default) for Profile Plot and QC Plot uses the upper limit as rounded off maximum of log2(intensities) after normalization + 3..

ylimDown

lower limit for y-axis in the log scale. FALSE(Default) for Profile Plot and QC Plot uses 0..

x.axis.size

size of x-axis labeling for "Run" and "channel in Profile Plot and QC Plot.

y.axis.size

size of y-axis labels. Default is 10.

text.size

size of labels represented each condition at the top of Profile plot and QC plot. Default is 4.

text.angle

angle of labels represented each condition at the top of Profile plot and QC plot. Default is 0.

legend.size

size of legend above Profile plot. Default is 7.

dot.size.profile

size of dots in Profile plot. Default is 2.

ncol.guide

number of columns for legends at the top of plot. Default is 5.

width

width of the saved pdf file. Default is 10.

height

height of the saved pdf file. Default is 10.

which.Protein

Protein list to draw plots. List can be names of Proteins or order numbers of Proteins. Default is "all", which generates all plots for each protein. For QC plot, "allonly" will generate one QC plot with all proteins.

originalPlot

TRUE(default) draws original profile plots, without normalization.

summaryPlot

TRUE(default) draws profile plots with protein summarization for each channel and MS run.

address

the name of folder that will store the results. Default folder is the current working directory. The other assigned folder has to be existed under the current working directory. An output pdf file is automatically created with the default name of "ProfilePlot.pdf" or "QCplot.pdf". The command address can help to specify where to store the file as well as how to modify the beginning of the file name. If address=FALSE, plot will be not saved as pdf file but showed in window.

Value

plot or pdf

Examples

data(input.pd) quant.msstats <- proteinSummarization(input.pd, method="msstats", global_norm=TRUE, reference_norm=TRUE)
#> Joining, by = c("Run", "Channel")
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture1_01.raw ( 1 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 4-29 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [K].sTPSGFTLDDVIQTGVDNPGHPYIMTVGcVAGDEESYEVFk.[D]_4_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture1_02.raw ( 2 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-33 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [R].eVLGDAVPDEILIEAVLk.[N]_3_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture1_03.raw ( 3 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-29 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [K].qQQDQVDr.[N]_2_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture2_01.raw ( 4 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 1-28 #> # of Transitions/Peptide 1-1
#> #> ** 1 Proteins have only single transition : Consider excluding this protein from the dataset. (Q9Y450)
#> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [K].dYEFMWNPHLGYILTcPSNLGTGLr.[A]_3_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture2_02.raw ( 5 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 1-30 #> # of Transitions/Peptide 1-1
#> #> ** 1 Proteins have only single transition : Consider excluding this protein from the dataset. (Q9Y450)
#> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 2
#> -> [K].qQQDQVDr.[N]_2_NA_NA, [R].nLPQYVSNELLEEAFSVFGQVEr.[A]_3_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture2_03.raw ( 6 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 2-30 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 0
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture3_01.raw ( 7 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 4-31 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 0
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture3_02.raw ( 8 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-30 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [K].vDIVAINDPFIDLNYMVYMFQYDSTHGk.[F]_3_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture3_03.raw ( 9 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 5-30 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 3
#> -> [K].vDIVAINDPFIDLNYMVYMFQYDSTHGk.[F]_3_NA_NA, [R].iPSAVGYQPTLATDMGTMQEr.[I]_2_NA_NA, [R].gAMPPAPVPAGTPAPPGPATMMPDGTLGLTPPTTEr.[F]_4_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture4_01.raw ( 10 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-31 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 2
#> -> [K].sTPSGFTLDDVIQTGVDNPGHPYIMTVGcVAGDEESYEVFk.[D]_4_NA_NA, [K].qQQDQVDr.[N]_2_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture4_02.raw ( 11 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-31 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 1
#> -> [R].fcTGLTQIETLFk.[S]_2_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture4_03.raw ( 12 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 1-31 #> # of Transitions/Peptide 1-1
#> #> ** 1 Proteins have only single transition : Consider excluding this protein from the dataset. (Q9Y450)
#> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 0
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture5_01.raw ( 13 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 3-34 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 0
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture5_02.raw ( 14 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 2-30 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 3
#> -> [R].mGQMAMGGAmGINNr.[G]_2_NA_NA, [R].nLPQYVSNELLEEAFSVFGQVER.[A]_3_NA_NA, [R].dQNAEQIr.[L]_2_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Summarizing for Run : 161117_SILAC_HeLa_UPS1_TMT10_Mixture5_03.raw ( 15 of 15 )
#> ** Use all features that the dataset origianally has.
#> #> Summary of Features : #> count #> # of Protein 10 #> # of Peptides/Protein 5-32 #> # of Transitions/Peptide 1-1 #> #> Summary of Samples : #> 0.125 0.5 0.667 1 Norm #> # of MS runs 2 2 2 2 2 #> # of Biological Replicates 1 1 1 1 1 #> # of Technical Replicates 2 2 2 2 2
#> #> Summary of Missingness :
#> # transitions are completely missing in at least one of the conditions : 4
#> -> [K].gFQQILAGEYDHLPEQAFYmVGPIEEAVAk.[A]_3_NA_NA, [K].qFAPIHAEAPEFMEMSVEQEILVTGIk.[V]_4_NA_NA, [K].qQQDQVDr.[N]_2_NA_NA, [R].dQNAEQIr.[L]_2_NA_NA ...
#> #> # run with 75% missing observations: 0
#> #> == Start the summarization per subplot...
#> | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100%
#> #> == the summarization per subplot is done.
#> ** Protein-level summarization done by MSstats.
#> Normalization between MS runs for Protein : P04406 ( 1 of 10 )
#> Normalization between MS runs for Protein : P06576 ( 2 of 10 )
#> Normalization between MS runs for Protein : P12277 ( 3 of 10 )
#> Normalization between MS runs for Protein : P23919 ( 4 of 10 )
#> Normalization between MS runs for Protein : P31947 ( 5 of 10 )
#> Normalization between MS runs for Protein : Q15233 ( 6 of 10 )
#> Normalization between MS runs for Protein : Q16181 ( 7 of 10 )
#> Normalization between MS runs for Protein : Q9NSD9 ( 8 of 10 )
#> Normalization between MS runs for Protein : Q9UGP8 ( 9 of 10 )
#> Normalization between MS runs for Protein : Q9Y450 ( 10 of 10 )
## Profile plot dataProcessPlotsTMT(data.peptide=input.pd, data.summarization=quant.msstats, type='ProfilePlot', width = 21, height = 7)
#> Warning: Removed 16 rows containing missing values (geom_point).
#> Drew the Profile plot for P04406 ( 1 of 10 )
#> Warning: Removed 29 rows containing missing values (geom_point).
#> Warning: Removed 1 row(s) containing missing values (geom_path).
#> Drew the Profile plot for P06576 ( 2 of 10 )
#> Warning: Removed 23 rows containing missing values (geom_point).
#> Warning: Removed 1 row(s) containing missing values (geom_path).
#> Drew the Profile plot for P12277 ( 3 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot for P23919 ( 4 of 10 )
#> Drew the Profile plot for P31947 ( 5 of 10 )
#> Warning: Removed 52 rows containing missing values (geom_point).
#> Warning: Removed 3 row(s) containing missing values (geom_path).
#> Drew the Profile plot for Q15233 ( 6 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot for Q16181 ( 7 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot for Q9NSD9 ( 8 of 10 )
#> Warning: Removed 8 rows containing missing values (geom_point).
#> Drew the Profile plot for Q9UGP8 ( 9 of 10 )
#> Warning: Removed 6 rows containing missing values (geom_point).
#> Drew the Profile plot for Q9Y450 ( 10 of 10 )
#> Warning: Removed 16 rows containing missing values (geom_point).
#> Warning: Removed 16 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for P04406 ( 1 of 10 )
#> Warning: Removed 29 rows containing missing values (geom_point).
#> Warning: Removed 1 row(s) containing missing values (geom_path).
#> Warning: Removed 29 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for P06576 ( 2 of 10 )
#> Warning: Removed 23 rows containing missing values (geom_point).
#> Warning: Removed 1 row(s) containing missing values (geom_path).
#> Warning: Removed 23 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for P12277 ( 3 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for P23919 ( 4 of 10 )
#> Drew the Profile plot with summarization for P31947 ( 5 of 10 )
#> Warning: Removed 52 rows containing missing values (geom_point).
#> Warning: Removed 3 row(s) containing missing values (geom_path).
#> Warning: Removed 52 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for Q15233 ( 6 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for Q16181 ( 7 of 10 )
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Warning: Removed 2 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for Q9NSD9 ( 8 of 10 )
#> Warning: Removed 8 rows containing missing values (geom_point).
#> Warning: Removed 8 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for Q9UGP8 ( 9 of 10 )
#> Warning: Removed 6 rows containing missing values (geom_point).
#> Warning: Removed 6 rows containing missing values (geom_point).
#> Drew the Profile plot with summarization for Q9Y450 ( 10 of 10 )
## NottoRun: QC plot # dataProcessPlotsTMT(data.peptide=input.pd, # data.summarization=quant.msstats, # type='QCPlot', # width = 21, # height = 7)