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intron_exon_CloseCall
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intron_exon_CloseCall
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#!/usr/bin/perl
###################################################################################
###################################################################################
##This file is Copyright (C) 2019, Steven Wingett ([email protected])##
## ##
## ##
##This file is part of CloseCall. ##
## ##
##CloseCall is free software: you can redistribute it and/or modify ##
##it under the terms of the GNU General Public License as published by ##
##the Free Software Foundation, either version 3 of the License, or ##
##(at your option) any later version. ##
## ##
##CloseCall is distributed in the hope that it will be useful, ##
##but WITHOUT ANY WARRANTY; without even the implied warranty of ##
##MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ##
##GNU General Public License for more details. ##
## ##
##You should have received a copy of the GNU General Public License ##
##along with CloseCall. If not, see <http://www.gnu.org/licenses/>. ##
###################################################################################
###################################################################################
#############################################
#A Perl script to manage the Anaconda pipeline and identifies intron / exon reads and processes
#separately
#
#Only 1 file may be processed at a time
#############################################
use strict;
use warnings;
use FindBin '$Bin';
use lib $Bin;
use File::Basename;
use Getopt::Long;
use module_anaconda;
use POSIX;
use Data::Dumper;
#Option variables
my %config = (config => '', simulations => '', gene_list => '', genome => '', help => '',
map => '', multiple => '', random => '', splice_sites => '',
test => '', version => '', introns => '');
my $config_result = GetOptions(
"config=s" => \$config{config},
"simulations=i" => \$config{simulations}, #Run Monte Carlo Simulation only
"gene_list=s" => \$config{gene_list},
"genome=s" => \$config{genome},
"help" => \$config{help},
"map" => \$config{map},
"multiple" => \$config{multiple},
"random" => \$config{random},
"splice_sites=s" => \$config{splice_sites},
"test" => \$config{test},
"version" => \$config{version},
"introns" => \$config{introns}, # # # #THIS IS AN EXTRA INTRONS FILE
);
die "Could not parse options.\n" unless ($config_result);
#Print help and exit
if ( $config{help} ) {
print while (<DATA>);
exit(0);
}
#Print version and exit
if ( $config{version} ) {
print "CloseCall v$module_anaconda::VERSION\n";
exit(0);
}
print "Starting CloseCall ($module_anaconda::VERSION)\n";
#Read the configuration file
if($config{config}){
print "Reading in configuration file '$config{config}'\n";
my @problems = process_config($config{config}, \%config);
if(scalar @problems){
warn "Unexpected terms on configuration file '$config{config}'\n";
foreach my $problem (@problems){
warn "$problem\n";
}
die "Please adjust configuration.\n";
}
print "Configuration settings:\n";
foreach my $key (sort keys %config){
print "$key:\t$config{$key}\n";
}
}
######################################################################################################################
#Check input
my @files = @ARGV;
if($config{test}){
!system("ln -s $Bin/Data/test_dataset.fastq.gz") or die "Could not execute command: 'ln -s $Bin/Data/test_dataset.fastq.gz'\n";
push(@files, "test_dataset.fastq.gz");
$config{map} = 1;
}
if($config{multiple}){ #Perform multiple testing correction only
unless(scalar @ARGV == 2){
warn "Specify TWO simulation results files to process, 1) results and a 2) control file";
warn "The results file may be used as the control, or even better, use the simulated results of a random dataset\n";
print while (<DATA>);
exit(1);
}
my $results_file = $ARGV[0];
my $control_file = $ARGV[1];
print "Performing multiple testing correction:\n";
print "\tResults file: $results_file\n";
print "\tControl file: $control_file\n";
my $jid = "mtc.$results_file.$control_file";
$jid =~ s/\W//g; #Remove non-alphanumeric characters which may cause problems with cluster submission
my $command = "$Bin/Monte_Carlo_Simulation/multiple_testing_correction.pl --results $results_file --control $control_file";
my $cluster_command = "qsub -l h_vmem=50G -o multi_test.out -N $jid $command";
!system($cluster_command) or die "Could not execute cluster command: $cluster_command\n";
print "Producing scatter plot of results\n";
$command = "Rscript $Bin/Monte_Carlo_Simulation/RScripts/monteCarloScatterPlot.r >/dev/null";
$cluster_command = "qsub -l h_vmem=50G -o scatter_plot.out -N scatter_plot.$jid -hold_jid $jid $command";
!system($cluster_command) or die "Could not execute cluster command: $cluster_command\n";
print "Sent multiple tesing jobs to cluster.\n";
exit(0);
}
unless(@files){
warn "Please specify a file to process.\n\n";
print while (<DATA>);
exit(0);
}
die "Please adjust configuration.\n" unless ( check_files_exist(\@files, 'EXISTS') );
die "Only 1 file may be processed simultaneously.\n" unless scalar(@files) == 1;
my $initial_file = $files[0];
if($config{random}){
print "Creating random dataset(s), ready for Monte Carlo Simulation\n";
$config{simulations} = 1;
monte_carlo_simulation(@files);
exit (0);
}
if($config{simulations}){ #Run Monte Carlo Simulation
print "Performing CloseCall simulation only\n";
monte_carlo_simulation(@files);
exit (0);
}
if($config{map}){
die "Specify --map OR --simulation, but not both.\n" if $config{simulations};
}else{
die "Please specify --map or --simulation to run the pipeline.\n";
}
unless( hasval($config{genome}) and hasval($config{splice_sites}) and hasval($config{introns}) ){
die "Please specify --genome, --splice and --introns.\n"
}
unless(-e $config{splice_sites}){
die "The --splice file '$config{splice_sites}' does not exist\n";
}
#$config{gene_list} = "$Bin/Data/human38_genes_and_repeats.txt.gz" unless( hasval ($config{gene_list}) );
#$config{genome} = '/bi/scratch/Genomes/Human/GRCh38/Homo_sapiens.GRCh38' unless( hasval($config{genome}) );
#$config{splice_sites} = '/bi/scratch/Genomes/Human/GRCh38/Homo_sapiens.GRCh38.83.splice_sites.txt' unless( hasval($config{splice_sites}) );
#####The following were used for the Jorg's data generation#####
#$config{gene_list} = "$Bin/Data/human38_repeats_RNA45S5.txt.gz" unless( hasval ($config{gene_list}) );
#$config{genome} = "$Bin/Data//hg38_LSU_SSU_Masked_RNA45S5" unless( hasval($config{genome}) );
#$config{splice_sites} = '/bi/scratch/Genomes/Human/GRCh38/Homo_sapiens.GRCh38.78.splice_sites.txt' unless( hasval($config{splice_sites}) );
#############################
my $command;
#############################################################################
#1) Generating features files
print "\n################# Anaconda Step 1: Generating a modified features file #################\n";
$command = "$Bin/MapQC/create_features.pl $config{gene_list}";
!system($command) or die "Could not execute format_features_list.pl with: '$command'\n";
$config{gene_list} = basename( $config{gene_list} );
my $repeats_file = $config{gene_list} . ".edited_repeats_only.txt.gz";
$config{gene_list} = $config{gene_list} . ".edited_features.txt.gz";
#####################################################################################################################
#2) Confirming reads contain expected fixed sequence:
#Valid reads should contain a fixed sequence 'GACACGCAGGGATGAGATGG' after the 26-bp random barcode.
#A script was written allowing for a 10% mismatch rate when comparing bases at position 27-46 to the sequence above.
print "\n\n\n################# Anaconda Step 2: checking fixed sequence present #################\n";
$command = "$Bin/MapQC/check_sequence_present.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute check_sequence_present.pl with: '$command'\n";
###############################################################################
#3) Check barcode sequence is not "extreme" in terms of nucleotide composition
#and is free from obvious potential contaminants
print "\n\n\n################# Anaconda Step 3: Checking for problem barcodes #################\n";
my @new_files;
foreach my $file (@files){
$file .= '.present.fastq.gz';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/problem_barcodes.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute problem_barcodes.pl with: '$command'\n";
######################################################################################################################
#4) Created a virtual reference genome of the barcodes and mapped each barcode against this to establish 'Barcode Group'
#(Used map_trimmed_barcodes.pl - run on head node as script submits cluster jobs. Wait for cluster jobs to finish.)
print "\n\n\n################# Anaconda Step 4: Create a virtual reference genome #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.present\.fastq\.gz$//;
$file .= '.barcode_pass.fastq.gz';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/map_trimmed_barcodes.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute map_trimmed_barcodes.pl with: '$command'\n";
######################################################################################################################
#5) Take a barcode SAM file (made by map_barcodes.pl) and produces a file relating each barcode to a barcode group.
#Uses group_trimmed_barcodes.pl
print "\n\n\n################# Anaconda Step 5: Allocating barcodes to barcode groups #################\n";
@new_files = ();
foreach my $file (@files){
print "FILE: $file\n";
my $sam_file = $file;
$sam_file =~ s/\.barcode_pass\.fastq\.gz$//;
$sam_file .= '.barcode_list.fasta.sam';
my $virtual_genome_file = $file;
$virtual_genome_file =~ s/\.barcode_pass\.fastq\.gz$//;
$virtual_genome_file .= '.barcode_genome.fa';
if(-e $sam_file and -e $virtual_genome_file){
$command = "$Bin/MapQC/group_trimmed_barcodes.pl --virtual $virtual_genome_file $sam_file";
!system($command) or die "Could not execute group_trimmed_barcodes.pl with: '$command'\n";
}else{
warn "File '$sam_file' and/or '$virtual_genome_file' not found, skipping\n";
}
}
######################################################################################################################
#6) Each genomic read was assigned a barcode group (used assign_read_to_barcode_group.pl)
print "\n\n\n################# Anaconda Step 6: Allocating each read to a barcode group #################\n";
$command = "$Bin/MapQC/assign_read_to_barcode_group.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute assign_read_to_barcode_group.pl with: '$command'\n";
######################################################################################################################
#7) Trim reads
print "\n\n\n################# Anaconda Step 7: Trimming reads #################\n";
@new_files = ();
foreach my $file (@files){
$file .= '.barcoded.fastq';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/trim.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute trim.pl with: '$command'\n";
#########################################################################################################################
#8) Perform fastq_screen
print "\n\n\n################# Anaconda Step 8: Performing FastQ Screen #################\n";
@new_files = ();
@new_files = ();
foreach my $file (@files){
$file =~ s/\.barcode_pass\.fastq\.gz\.barcoded\.fastq$//;
$file .= '.trimmed.fastq';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
$command = "fastq_screen --nohits --aligner bowtie --conf $Bin/MapQC/fastq_screen.conf ";
$command .= join(' ', @files);
!system($command) or warn "Could not execute FastQ Screen with: '$command'\n";
##########################################################################################################################
#9) The genomic reads were mapped against the Human 38 genome using HISAT2
print "\n\n\n################# Anaconda Step 9: Mapping reads with HISAT2 #################\n";
foreach my $file (@files){
if(-e $file){
print "Mapping $file\n";
$command = "$Bin/MapQC/mapper_hisat2.pl --genome $config{genome} --splice $config{splice_sites} $file";
!system($command) or die "Could not execute mapper.pl with: '$command'\n";
}else{
warn "File '$file' not found, skipping\n";
}
}
###################################################################################
#10) The output from HISAT2 is filtered and counted, depending on whether a
#read maps, maps uniquely, or whether maps to a pre-specified repeat region
print "\n\n\n################# Anaconda Step 10: Filtering HISAT2 output #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.fastq$//;
$file .= '.sam';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/map_editor.pl --repeats $repeats_file ";
$command .= join(' ', @files);
!system($command) or die "Could not execute map_editor.pl with: '$command'\n";
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#Additional EXON/INTRON step
print "\n\n\n################# Anaconda: ADDITIONAL STEP to to separate exon / introns #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.trimmed\.sam$//;
$file .= '.filtered_reads.bam';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/intron_exon_split.pl --introns $config{introns} ";
$command .= join(' ', @files);
!system($command) or die "Could not execute intron_exon_split.pl with: '$command'\n";
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#11) The mapped reads SAM file is converted into a condensed format
#(used create_data_file_include_noninteracting.pl):
print "\n\n\n################# Anaconda Step 11: Creating condensed format file #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.filtered_reads\.bam$//;
#foreach my $suffix ('EXON_JUNCTION', 'NASCENT', 'PUTATIVE_EXON', 'OTHER'){
foreach my $suffix ('EXON_JUNCTION', 'NASCENT', 'OTHER'){
my $new_file = "$file.$suffix.filtered_reads.bam";
if(-e $new_file){
push(@new_files, $new_file);
}else{
warn "File '$new_file' not found, skipping\n";
}
}
}
@files = @new_files;
$command = "$Bin/MapQC/intron_exon_create_data_file_include_noninteracting.pl "; #Modified
$command .= join(' ', @files);
!system($command) or die "Could not execute create_data_file_include_noninteracting.pl with: '$command'\n";
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#####################################################################################################################
#12) Generated plots:
#i) To generate barcode group size histogram ran barcode_group_size.r
#ii) To generate cis/trans plot ran createDitags.pl (the new modified version of the script is attached
#which ignores barcode groups of size 1 – it is not possible to create di-tags from such reads an consequently
#caused the script to crash). Then ran cis_trans_barcode_boxplot.r on the virtual di-tag dataset to create the
#boxplot.
#iii) To generate cis Hi-C distance plots ran cis_length_calc.pl on the condensed file format generated in
#step 7 and then ran cis_read_separation_boxplots.r on the newly generated dataset.
print "\n\n\n################# Anaconda Step 12: Generating QC plots #################\n";
$command = "Rscript $Bin/MapQC/R_Scripts/barcode_group_size.r >/dev/null";
!system($command) or warn "Could not execute barcode_group_size.r with: '$command'\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.filtered_reads\.bam//;
$file .= '.condensed_format.txt';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/createDitags.pl ";
$command .= join(' ', @files);
!system($command) or warn "Could not execute createDitags.pl with: '$command'\n";
$command = "Rscript $Bin/MapQC/R_Scripts/cis_trans_barcode_boxplot.r >/dev/null";
!system($command) or warn "Could not execute cis_trans_barcode_boxplot.r with: '$command'\n";
$command = "$Bin/MapQC/hic_categoriser.pl ";
$command .= join(' ', @files);
!system($command) or warn "Could not execute hic_categoriser.pl with: '$command'\n";
$command = "Rscript $Bin/MapQC/R_Scripts/hic_categoriser.r >/dev/null";
!system($command) or warn "Could not execute hic_categoriser.r with: '$command'\n";
#####################################################################################################################
#13) Match reads to genes
print "\n\n\n################# Anaconda Step 13: Allocate reads to genes/features #################\n";
my $filename_string = join(' ', @files);
$command = "$Bin/MapQC/identify_reads_by_regions.pl --baits $config{gene_list} $filename_string";
!system($command) or die "Could not execute identify_reads_by_regions.pl with: '$command'\n";
########################################################################################################################
#14) Remove duplicate gene-gene interactions in same barcode group
print "\n\n\n################# Anaconda Step 14: Remove duplicate gene-gene interactions in same barcode group #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.condensed_format\.txt$//;
$file .= '.on_target.txt.gz';
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/remove_gene_duplicates.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute remove_gene_duplicates.pl with: '$command'\n";
#######################################################
#Format for simulation here
#15) Allocate identical names to the same class of repeats
print "\n\n\n################# Anaconda Step 15: Allocate identical names to the same class of repeats, prevent within gene interactions #################\n";
@new_files = ();
foreach my $file (@files){
$file =~ s/\.on_target\.txt\.gz//;
$file .= ".uniques.txt.gz";
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
$command = "$Bin/MapQC/format_for_simulation.pl --repeats $repeats_file ";
$command .= join(' ', @files);
!system($command) or die "Could not execute createDitags_features.pl with: '$command'\n";
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#Additional scripts to format the simulation formatted file that converts barcodes to numeric
#ids and edits the feature name with the type of feature (e.g. NASCENT) and then creates final
#simulation output files
@new_files = ();
foreach my $file (@files){
$file =~ s/\.uniques\.txt\.gz//;
$file .= ".simulation_formatted.txt.gz";
if(-e $file){
push(@new_files, $file);
}else{
warn "File '$file' not found, skipping\n";
}
}
@files = @new_files;
print "\n\n\n################# Anaconda: ADDITIONAL EXON INTRON STEP to convert barcodes to numeric ids and edits the feature name #################\n";
$command = "$Bin/MapQC/intron_exon_formatter.pl --outfile $initial_file.ejunction.simulation_intermediate.txt.gz $files[0] $files[1] $files[2]";
!system($command) or die "Could not run intron_exon_formatter.pl with command: '$command'\n";
#$command = "$Bin/MapQC/intron_exon_formatter.pl --outfile $initial_file.exon_enriched.simulation_formatted.txt.gz $files[1] $files[2]";
#!system($command) or die "Could not run intron_exon_formatter.pl with command: '$command'\n";
#@files = ("$initial_file.ejunction", "$initial_file.exon_enriched");
print "\n\n\n################# Anaconda: ADDITIONAL step to sort the file for the Monte Carlo Simulation #################\n";
$command = "$Bin/MapQC/int_ex_sort_file.pl --outfile $initial_file.ejunction.simulation_formatted.txt.gz $initial_file.ejunction.simulation_intermediate.txt.gz";
!system($command) or die "Could not execute int_ex_sort_file.pl with: '$command'\n";
@files = ("$initial_file.ejunction.simulation_formatted.txt.gz");
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
##############################################################################
#16) Create feature-feature virtual ditag files for seqmonk
print "\n\n\n################# Anaconda Step 16: Create feature-feature virtual ditag files for seqmonk #################\n";
$command = "$Bin/MapQC/createDitags_features.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute createDitags_features.pl with: '$command'\n";
##############################################################################
#17) Create summary stats and obs/expected for each interaction
print "\n\n\n################# Anaconda Step 17: Create summary stats and obs/expected for each interaction #################\n";
$command = "$Bin/MapQC/calc_frequeny_interactions.pl ";
$command .= join(' ', @files);
!system($command) or die "Could not execute calc_frequeny_interactions.pl with: '$command'\n";
warn "Will not create summary results for this version of the pipeline\n";
exit(0);
#############################################################################
#18) Report the summary statistics of the whole pipeline
# print "\n\n\n################# Anaconda Step 18: Generating Anaconda pipeline summary results #################\n";
# foreach my $file (@files){ #Generate orignal input filenames
# $file =~ s/\.simulation_formatted\.txt\.gz//; #Changes the filename directly
# }
# $command = "$Bin/MapQC/reporter.pl ";
# $command .= join(' ', @files);
# !system($command) or die "Could not execute reporter.pl with: '$command'\n";
# print "Anaconda complete.\n";
# exit (0);
#################################################################################################
#Subroutines
#################################################################################################
############################
#Subroutine "process_config":
#Takes i) configuration file name and ii) %config hash (as a reference).
#The script then uses the configuration file to populate the hash as
#appropriate. Parameters passed via the command line take priority
#over those defined in the configuration file.
#The script modifies the hash directly, but returns as an array the lines in the configuration
#file that could did not correspond configuration parameters (these should be filenames).
sub process_config {
my ( $config_file, $config_hash_ref ) = @_;
my @non_parameters; #Stores lines in the configuration file not defined as parameters
#Open configuration file
open( CONF, "$config_file" ) or die "Can't read $config_file: $!";
while (<CONF>) {
my $line = $_;
chomp $line;
$line =~ s/^\s+//;
$line =~ s/\s+$//; #Remove starting/trailing white spaces
next if $line =~ /^\s*\#/; #Ignore comments
next if $line =~ /^\s*$/; #Ignore whitespace
#Check if this is a parameter
my ( $parameter, $setting ) = split( /:/, $line );
$parameter =~ s/^\s+//;
$parameter =~ s/\s+$//; #Remove starting/trailing white spaces
$parameter = lc $parameter;
$setting =~ s/^\s+// if defined ($setting);
$setting =~ s/\s+$// if defined ($setting);
if ( exists $$config_hash_ref{$parameter} ) {
if ( $$config_hash_ref{$parameter} eq '' ) { #Check parameter not assigned value in command line
$$config_hash_ref{$parameter} = $setting; #Edit the configuration hash
}
} else {
push( @non_parameters, $line );
}
}
close CONF or die "Could not close filhandle on configuration file: '$config_file'\n";
return @non_parameters;
}
################################################################
#Sub: monte_carlo_simulation
#Takes the Anaconda data file(s) as arguments and performs the Monte Carlo Simulation
#10,000 Simulations per batch
sub monte_carlo_simulation{
my @files = deduplicate_array(@_);
my $batch_size;
$config{simulations} = abs($config{simulations});
if($config{simulations} <= 1_000){
$batch_size = 50;
} elsif($config{simulations} <= 10_000){
$batch_size = 500;
} elsif($config{simulations} <= 100_000){
$batch_size = 5_000;
} else {
$batch_size = 10_000;
}
if( ($config{simulations} > $batch_size) and ($config{simulations} % $batch_size) ){
warn "Number of --simulations needs to be a multiple of 50 (1,000-10,000), 500 (up to 10,000-100,000) 5,000 (up to 100,000) or 10,000\n";
warn "Adjusting number of simulations accordingly\n";
}
if($config{simulations} <= $batch_size){
$config{simulations} = $config{simulations};
}else{
$config{simulations} = int($config{simulations} / $batch_size) * $batch_size;
}
print "Setting number of simulations to $config{simulations}\n";
#Perform simulation - send jobs to cluster
my $batches = ceil($config{simulations} / $batch_size);
my $simulations_per_batch;
if($config{simulations} < $batch_size){
$simulations_per_batch = $config{simulations};
}else{
$simulations_per_batch = $batch_size;
}
print "Setting simulations per cluster job to $simulations_per_batch\n";
print "Maybe a good idea to create a control random dataset and process this now?\n" unless $config{random};
foreach my $file (@files){
my $qc = $config{random} ? 'random' : 'qc'; #Produce QC report (only for batch 1)
for(my $i = 1; $i <= $batches; $i++){
my $command = "java -XX:+UseG1GC -XX:ParallelGCThreads=2 -jar $Bin/Monte_Carlo_Simulation/anacondamontecarlo.jar $file $simulations_per_batch $qc";
my $cluster_command = "qsub -l h_vmem=50G -pe cores 2 -N monte_carlo.$file -o monte_carlo.$file.$i.out -p -1 $command"; #Cluster commands with identical names
!system($cluster_command) or die "Could not execute monte_carlo_simulation.pl with: '$cluster_command'\n";
$qc = '';
}
}
#Submit the collate the data scripts
if($config{simulations} > $batch_size){ #No need to collate if less or equal to batch_size
foreach my $file (@files){
my $jid = "monte_carlo.$file";
my $command = "$Bin/Monte_Carlo_Simulation/collate_monte_carlo_results.pl --prefix $file --simulations $simulations_per_batch --sleep 120 $file.MonteCarloResults.*";
my $cluster_command = "qsub -l h_vmem=100G -hold_jid $jid -N collate.monte_carlo.$file -o collate_monte_carlo.$file.out $command"; #Cluster commands with identical names
!system($cluster_command) or die "Could not execute collate_monte_carlo_results.pl with: '$cluster_command'\n";
}
}
}
__DATA__
CloseCall
SYNOPSIS
CloseCall is a pipeline for mapping, QC and analysis of RNA complex experiments
CloseCall [OPTIONS]... [FILES]
FUNCTION
Pre-processes, maps, filters and produce QC reports on RNA complexes data.
Also performs a Monte Carlo simulation to identify statistically significant
RNA-RNA interactions.
COMMAND LINE OPTIONS
--config Configuration file
--gene_list Tab-delimited file listing features and repeats:
Chromosome Start End Feature_Name
This uses a 1-based co-ordinate system. Repeats are
allocated to both strands with term 'B' (regular features
are allocated to + or - strands)
Default: $Bin/Data/human38_repeats_RNA45S5.txt.gz
--map Perform the mapping and QC pipeline
--multiple Multiple testing correction. Specify TWO files to process,
1) a results file and 2) a control file. The results file may
be used as the control, or even better, use the simulated
results of a random dataset
--genome Path and basename of HISAT2 genome indices
Default: $Bin/Data//hg38_LSU_SSU_Masked_RNA45S5
--help Print help message and exit
--random Create a random dataset, ready for Monte Carlos Simulation analysis
--simulations Accepts integer for the number of simulations to perform
--splice_sites HISAT2 genome splice sites
Default: /bi/scratch/Genomes/Human/GRCh38/Homo_sapiens.GRCh38.78.splice_sites.txt
--version Print the program version and exit
Steven Wingett, Babraham Institute, Cambridge, UK ([email protected])