#// **********************************************************************************************
#// filterPQPdb.R
#// **********************************************************************************************
#//
#//
#// **********************************************************************************************
#// @Maintainer: Justin Sing
#// @Author: Justin Sing
#' @export
#' @title Filter and PQP db file
#' @description This function can be used to filter an PQP db file given a list of unmodified sequences
#'
#' @param pqp_file A character vector of the absolute path and filename of the sqMass file. (Must be .osw format)
#' @param unmodified_sequence_filter A character vector for extraction of specific peptide(s). I.e. c('ANSSPTTNIDHLK', 'ESTAEPDSLSR', 'NLSPTKQNGKATHPR', 'KDSNTNIVLLK', 'NKESPTKAIVR')
#' @param modified_sequence_filter A character vector for extraction of specific peptide(s) with modifications
#' @return A data.table containing spectral library information
#'
#' @author Justin Sing \url{https://github.com/singjc}
#'
#' @importFrom DBI dbConnect dbDisconnect dbExecute
#' @importFrom RSQLite SQLite
#' @importFrom dplyr collect tbl
#' @importFrom dbplyr sql
#' @importFrom MazamaCoreUtils logger.isInitialized logger.info logger.error logger.warn logger.trace
#' @importFrom tools file_ext
filterPQPdb <- function( pqp_file, unmodified_sequence_filte, modified_sequence_filter=NULL) {
## TODO add control statements for check tables being present
DEBUG=FALSE
if ( DEBUG ){
pqp_file <- "/media/justincsing/ExtraDrive1/Documents2/Roest_Lab/Github/DrawAlignR/inst/extdata/Synthetic_Dilution_Phosphoproteomics/pqp/test.pqp"
unmodified_sequence_filter <- c('ANSSPTTNIDHLK', 'ESTAEPDSLSR', 'NLSPTKQNGKATHPR', 'KDSNTNIVLLK', 'NKESPTKAIVR')
}
tryCatch(
expr = {
## Check if logging has been initialized
if( !MazamaCoreUtils::logger.isInitialized() ){
log_setup()
}
## Get and Evaluate File Extension Type to ensure an osw file was supplied
fileType <- tools::file_ext(pqp_file)
if( tolower(fileType)!='pqp' ){
MazamaCoreUtils::logger.error( "[mstools::filterPQPdb] The supplied file was not a valid PQP database file!\n You provided a file of type: %s", fileType)
}
##************************************************
## Establiash Connection to DB
##************************************************
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Connecting to Database: %s", pqp_file)
db <- DBI::dbConnect( RSQLite::SQLite(), pqp_file )
##************************************************
## Filter Peptide Table
##************************************************
## query statement to get a table of only desired unmodified sequences
if ( is.null(modified_sequence_filter) ) {
peptide_filter_stmt <- sprintf( "SELECT * FROM PEPTIDE WHERE PEPTIDE.UNMODIFIED_SEQUENCE in ('%s')", paste(unmodified_sequence_filter, collapse="','") )
} else {
peptide_filter_stmt <- sprintf( "SELECT * FROM PEPTIDE WHERE PEPTIDE.MODIFIED_SEQUENCE in ('%s')", paste(modified_sequence_filter, collapse="','") )
}
## Send query to database
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", peptide_filter_stmt)
peptide_table <- dplyr::collect( dplyr::tbl( db, dbplyr::sql( peptide_filter_stmt )) )
## Delete Query
peptide_delete_stmt <- sprintf( "DELETE FROM PEPTIDE WHERE PEPTIDE.ID NOT IN (%s)", paste(peptide_table$ID, collapse = ","))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", peptide_delete_stmt)
DBI::dbExecute( db, peptide_delete_stmt )
##***********************************************
## Precursor Filter Selecion
##***********************************************
## precursor to peptide mapping table query
precursor_peptide_mapping_table_stmt <- "SELECT * FROM PEPTIDE INNER JOIN PRECURSOR_PEPTIDE_MAPPING on PRECURSOR_PEPTIDE_MAPPING.PEPTIDE_ID=PEPTIDE.ID"
## send query to database to get filtered table
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", precursor_peptide_mapping_table_stmt)
precursor_peptide_mapping_table <- dplyr::collect( dplyr::tbl( db, dbplyr::sql( precursor_peptide_mapping_table_stmt ) ) )
## Delete Query
precursor_peptide_mapping_table_delete_stmt <- sprintf( "DELETE FROM PRECURSOR_PEPTIDE_MAPPING WHERE PRECURSOR_PEPTIDE_MAPPING.PRECURSOR_ID NOT IN (%s)", paste(precursor_peptide_mapping_table$PRECURSOR_ID, collapse = "," ))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", precursor_peptide_mapping_table_delete_stmt)
DBI::dbExecute( db, precursor_peptide_mapping_table_delete_stmt )
## Delete Query for Precursor table
precursor_table_delete_stmt <- sprintf( "DELETE FROM PRECURSOR WHERE PRECURSOR.ID NOT IN (%s)", paste(precursor_peptide_mapping_table$PRECURSOR_ID, collapse = "," ))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", precursor_table_delete_stmt)
DBI::dbExecute( db, precursor_table_delete_stmt )
##***********************************************
## Transition Filter Selection
##***********************************************
## precursor to peptide mapping table query
transition_precursor_mapping_table_stmt <- "SELECT * FROM PRECURSOR INNER JOIN TRANSITION_PRECURSOR_MAPPING on TRANSITION_PRECURSOR_MAPPING.PRECURSOR_ID=PRECURSOR.ID"
## send query to database to get filtered table
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", transition_precursor_mapping_table_stmt)
transition_precursor_mapping_table <- dplyr::collect( dplyr::tbl( db, dbplyr::sql( transition_precursor_mapping_table_stmt ) ) )
## Delete Query
transition_peptide_mapping_table_delete_stmt <- sprintf( "DELETE FROM TRANSITION_PEPTIDE_MAPPING WHERE TRANSITION_PEPTIDE_MAPPING.TRANSITION_ID NOT IN (%s)", paste(transition_precursor_mapping_table$TRANSITION_ID, collapse = "," ))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", transition_peptide_mapping_table_delete_stmt)
DBI::dbExecute( db, transition_peptide_mapping_table_delete_stmt )
## Delete Query for transition to precursor mapping table
transition_precursor_table_delete_stmt <- sprintf( "DELETE FROM TRANSITION_PRECURSOR_MAPPING WHERE TRANSITION_PRECURSOR_MAPPING.TRANSITION_ID NOT IN (%s)", paste(transition_precursor_mapping_table$TRANSITION_ID, collapse = "," ))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", transition_precursor_table_delete_stmt)
DBI::dbExecute( db, transition_precursor_table_delete_stmt )
## Delete query for transition table
transition_table_delete_stmt <- sprintf( "DELETE FROM TRANSITION WHERE TRANSITION.ID NOT IN (%s)", paste(transition_precursor_mapping_table$TRANSITION_ID, collapse = ","))
## Execute delete query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", transition_table_delete_stmt)
DBI::dbExecute( db, transition_table_delete_stmt )
##***********************************************
## Protein Filter
##***********************************************
## protein to peptide mapping table query
peptide_protein_mapping_table_stmt <- "SELECT * FROM PEPTIDE INNER JOIN PEPTIDE_PROTEIN_MAPPING on PEPTIDE_PROTEIN_MAPPING.PEPTIDE_ID=PEPTIDE.ID"
## send query to database to get filtered table
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", peptide_protein_mapping_table_stmt)
peptide_protein_mapping_table <- dplyr::collect( dplyr::tbl( db, dbplyr::sql( peptide_protein_mapping_table_stmt ) ) )
## Delete query for peptide_protein_protein_mapping
peptide_protein_mapping_table_delete_stmt <- sprintf( "DELETE FROM PEPTIDE_PROTEIN_MAPPING WHERE PEPTIDE_PROTEIN_MAPPING.PROTEIN_ID NOT IN (%s)", paste(peptide_protein_mapping_table$PROTEIN_ID, collapse = ",") )
## Execute delte query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", peptide_protein_mapping_table_delete_stmt)
DBI::dbExecute( db, peptide_protein_mapping_table_delete_stmt )
## Delete query for peptide_protein_protein_mapping
protein_table_delete_stmt <- sprintf( "DELETE FROM PROTEIN WHERE PROTEIN.ID NOT IN (%s)", paste(peptide_protein_mapping_table$PROTEIN_ID, collapse = ",") )
## Execute delte query
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Querying Database: %s", protein_table_delete_stmt)
DBI::dbExecute( db, protein_table_delete_stmt )
##***********************************************
## Clear unused space in db
##***********************************************
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Vacuuming Database")
DBI::dbExecute(db, "VACUUM")
##***********************************************
## Disconnect fom DB
##***********************************************
MazamaCoreUtils::logger.trace( "[mstools::filterPQPdb] Diconnecting From Database: %s", pqp_file)
DBI::dbDisconnect( db )
},
error = function(e){
MazamaCoreUtils::logger.error("[mstools::filterPQPdb] filterPQPdb.R: There was the following error that occured during function call...\n", e)
}
) # End tryCatch
} # End Function
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