## Copyright (C) 2020 by University of Luxembourg ## Licensed under the Apache License, Version 2.0 (the "License"); ## you may not use this file except in compliance with the License. ## You may obtain a copy of the License at ## http://www.apache.org/licenses/LICENSE-2.0 ## Unless required by applicable law or agreed to in writing, software ## distributed under the License is distributed on an "AS IS" BASIS, ## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ## See the License for the specific language governing permissions and ## limitations under the License. ## Config defaults CONF <- list(data=NA_character_, project=getwd(), compounds=list(lists=list(), sets=NA_character_)) ## Constants FN_SUMM_BASE<-"summ.base.csv" FN_SUMM_PP<-"summ.pp.csv" FN_PP_OUT_PREF<-"PP.filetable" FN_SUMM_STATE<-"summ_state.csv" FN_SUMM <- "summ.csv" FN_SUMM_DEF_OUT <- FN_SUMM FN_CMP_L<-"compounds.csv" FN_LOC_SETID <-"setid.csv" FN_COMP_TAB<-"comprehensive.csv" FN_SPEC<-"specdata.rds" FN_CONF <- "conf-state.yaml" FN_EXTR_STATE <- "state_after_extraction.rds" .envp <- new.env(parent = emptyenv()) data(adducts,package = "enviPat", envir = .envp) data(isotopes,package = "enviPat", envir = .envp) ADDUCTS <- dtable(.envp$adducts) ISOTOPES <- dtable(.envp$isotopes) .envp <- NULL ADDUCTMAP <- ADDUCTS$Name ADDUCTS$Name <- the_ifelse(ADDUCTS$Charge>0,paste0("[",ADDUCTS$Name,"]+"),paste0("[",ADDUCTS$Name,"]-")) ## names(ADDUCTMAP) <- apply(ADDUCTS,1,function(row) { ## nm <- row[["Name"]] ## sgn <- row[["Charge"]] ## suff <- if (sgn > 0) "+" else if (sgn < 0) "-" else "" ## paste0("[",nm,"]",suff) ## }) ## ADDUCTS$Name <- names(ADDUCTMAP) DISP_ADDUCTS <- ADDUCTS$Name TAG_NA <- "::UNSET::" SET_NA <- "::UNSET::" TAG_DEF <- TAG_NA TAG_DEF_DESC<-"Case" DEFAULT_RT_RANGE=c(NA,NA) DEFAULT_INT_RANGE=c(NA,NA) DEFAULT_MZ_RANGE=c(NA,NA) ## QANAMES <- c("MS1","MS2","Alignment","AboveNoise") PLOT_DEF_TAGS<-NA PLOT_DEF_SET<-NA CEX<-0.75 RT_DIGITS=2 M_DIGITS=4 PAL="Dark2" REST_TAB<-c("mzml") GUI_TAB_TITLE<-c(conf="Config", gen="Spectra Extraction and Automatic QA", pres="Prescreening", log="Log") GUI_SIDE_TITLE<-GUI_TAB_TITLE GUI_SIDE_TITLE[["gen"]]<-"Spectra Extraction" CHR_GRAM_X="retention time [min]" CHR_GRAM_Y="intensity" KEY_GLYPH='rect' PLOT_MS1_LEG_TIT<-"peak retention time (MS1)" PLOT_MS2_LEG_TIT<-"peak retention time (MS2)" MS2_1ST_N<-5 EXTR_MS2_DIR<-"MS2" EXTR_MS2_FLAG<-file.path(EXTR_MS2_DIR,'.ms2.DONE') SUMM_CHK_NONE<-'NONE' SUMM_CHK_AUTO<-'AUTO' SUMM_CHK_MANL<-'MANUAL' MS1_ERR_COARSE<-0.5 # Da MS1_ERR_FINE<- 5 # ppm EIC_ERR <- 0.001 # Da RT_EXTR_ERR<-0.5 # min RT_SHIFT_ERR <- 0.5 # min MS1_INT_THOLD <- 1e5 MS2_INT_THOLD <- 5000. MS1_SN_FAC <- 3.0 ## Shiny objects NUM_INP_WIDTH="15%" NUM_INP_HEIGHT="5%" ## Possible compound list fields EMPTY_CMPD_LIST <- dtable(ID=character(), SMILES=character(), Name=character(), Formula=character(), RT=numeric(), mz=numeric(), known=character(), ORIG=character()) COMP_LIST_COLS <- c("ID","Name","SMILES","Formula","RT","mz") ## Comprehensive table properties COMP_NAME_MAP <- list(RT="rt") COMP_NAME_FIRST <- c("ID","mz","rt","adduct","tag","set","Name","known","SMILES","Formula","Files") ## File table properties SUMM_KEY=c("set","tag","mz") SUMM_NAMES=c("ID", "mz", "rt", "tag", "adduct", "set", "Name", "SMILES", "Files" , "wd","known") ## Trivial data table EMPTY_MZML <- dtable(Files=character(0), tag=character(0), adduct=character(0), set=character(0)) FN_DATA_TAB <- "data-files.csv" ## Default number of concurrent workers NO_WORKERS <- 2 ## Input parameters for prescreening. CONF_PRES_NUM <- c("ms1_int_thresh","ms2_int_thresh","s2n") CONF_PRES_TU <- c("ret_time_shift_tol") ## Prescreening columns QA_FLAGS <- c("qa_ms1_exists", "qa_ms2_exists", "qa_ms1_good_int" "qa_ms1_above_noise", "qa_ms2_near", "qa_ms2_good_int", "qa_pass") QA_NUM_REAL <- c("ms1_int","ms1_rt","ms1_mean") QA_NUM_INT <- c("ms2_sel","ms1_rt_ind") QA_COLS <- c(QA_FLAGS,QA_NUM_REAL,QA_NUM_INT) ## MS2 spectral table columns MS2_SPEC_COLS <- c("adduct","tag","ID","CE","rt","Files","spec","ms2_max_int") ## MS1 spectral table columns MS1_SPEC_COLS <- c("adduct","tag","ID","eicMS1","ms1_int","ms1_rt","ms1_mean") ## Default sorting keys of spectra in the summary table DEF_KEY_SUMM <- c("set","qa_pass","ms1_int","adduct","mz","tag") ## Default secondary indexing in the summary table DEF_INDEX_SUMM <- c("set", "-qa_pass", "-ms1_int", "adduct","-mz") ## Top-level directory to store the figures FIG_TOPDIR <- "figures" ## Figure filter FIG_DEF_FILTER <- "" FIG_DEF_SUBSET <- c("set","adduct","ID") REPORT_AUTHOR <- "Anonymous" REPORT_TITLE <- "Plots of EICs and MS2 Spectra" PLOT_FEATURES <- c("set", "adduct", "tag", "ID") ## Select the most fundamental group of entries. Within this group, ## each ID is unique. BASE_KEY <- c("adduct","tag","ID") BASE_KEY_MS2 <- c("adduct","tag","ID","CE") FIG_DEF_CONF <-list(grouping=list(group="set", plot="ID", label="tag"))