DATA
#Illumina paired end reads supplied as <two-character prefix> <fragment mean> <fragment stdev> <forward_reads> <reverse_reads>
#if single-end, do not specify <reverse_reads>
#MUST HAVE Illumina paired end reads to use MaSuRCA
#PE= pe 500 50  /FULL_PATH/frag_1.fastq  /FULL_PATH/frag_2.fastq
PE= pe MEAN STDDEV INPUTREAD1 INPUTREAD2
#Illumina mate pair reads supplied as <two-character prefix> <fragment mean> <fragment stdev> <forward_reads> <reverse_reads>
#JUMP= sh 3600 200  /FULL_PATH/short_1.fastq  /FULL_PATH/short_2.fastq
#pacbio OR nanopore reads must be in a single fasta or fastq file with absolute path, can be gzipped
#if you have both types of reads supply them both as NANOPORE type
#PACBIO=/FULL_PATH/pacbio.fa
#PACBIO=INPUTREADLONG
#NANOPORE=/FULL_PATH/nanopore.fa
#NANOPORE=INPUTREADLONG
#Other reads (Sanger, 454, etc) one frg file, concatenate your frg files into one if you have many
#OTHER=/FULL_PATH/file.frg
#synteny-assisted assembly, concatenate all reference genomes into one reference.fa; works for Illumina-only data
#REFERENCE=REF
END

PARAMETERS
#PLEASE READ all comments to essential parameters below, and set the parameters according to your project
#set this to 1 if your Illumina jumping library reads are shorter than 100bp
EXTEND_JUMP_READS=0
#this is k-mer size for deBruijn graph values between 25 and 127 are supported, auto will compute the optimal size based on the read data and GC content
GRAPH_KMER_SIZE = auto
#set this to 1 for all Illumina-only assemblies
#set this to 0 if you have more than 15x coverage by long reads (Pacbio or Nanopore) or any other long reads/mate pairs (Illumina MP, Sanger, 454, etc)
USE_LINKING_MATES = 0
#specifies whether to run the assembly on the grid
USE_GRID=0
#specifies grid engine to use SGE or SLURM
GRID_ENGINE=SLURM
#specifies queue (for SGE) or partition (for SLURM) to use when running on the grid MANDATORY
GRID_QUEUE=defq
#batch size in the amount of long read sequence for each batch on the grid
GRID_BATCH_SIZE=500000000
#use at most this much coverage by the longest Pacbio or Nanopore reads, discard the rest of the reads
#can increase this to 30 or 35 if your reads are short (N50<7000bp)
LHE_COVERAGE=25
#set to 0 (default) to do two passes of mega-reads for slower, but higher quality assembly, otherwise set to 1
MEGA_READS_ONE_PASS=0
#this parameter is useful if you have too many Illumina jumping library mates. Typically set it to 60 for bacteria and 300 for the other organisms 
LIMIT_JUMP_COVERAGE = 300
#these are the additional parameters to Celera Assembler.  do not worry about performance, number or processors or batch sizes -- these are computed automatically. 
#CABOG ASSEMBLY ONLY: set cgwErrorRate=0.25 for bacteria and 0.1<=cgwErrorRate<=0.15 for other organisms.
CA_PARAMETERS =  cgwErrorRate=0.15
#CABOG ASSEMBLY ONLY: whether to attempt to close gaps in scaffolds with Illumina  or long read data
CLOSE_GAPS=1
#number of cpus to use, set this to the number of CPUs/threads per node you will be using
NUM_THREADS = GALAXY_SLOTS
#this is mandatory jellyfish hash size -- a safe value is estimated_genome_size*20
JF_SIZE = JELLYFISHSIZE
#ILLUMINA ONLY. Set this to 1 to use SOAPdenovo contigging/scaffolding module.  
#Assembly will be worse but will run faster. Useful for very large (>=8Gbp) genomes from Illumina-only data
SOAP_ASSEMBLY=0
#If you are doing Hybrid Illumina paired end + Nanopore/PacBio assembly ONLY (no Illumina mate pairs or OTHER frg files).  
#Set this to 1 to use Flye assembler for final assembly of corrected mega-reads.  
#A lot faster than CABOG, AND QUALITY IS THE SAME OR BETTER. 
#Works well even when MEGA_READS_ONE_PASS is set to 1.  
#DO NOT use if you have less than 15x coverage by long reads.
FLYE_ASSEMBLY=0
END