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  • Masurca ignoring input FASTA

    I have been trying to assemble some sequences using Masurca, and it runs to completion, but I recently noticed something amiss.

    For input, I have three paired-end Illumina libraries, three single-end Illumina libraries, and a couple hundred individual FASTA sequences.

    The FASTA sequences were converted to *.FRG format. The individual sequences range in length from ~150bp to over 40kbp.

    The FASTA sequences, almost as a rule, do not seem to be passed through to the final output assemblies. I would understand (although be a bit surprised) if the longer FASTA files could not have sequences added to them by Masurca, but I'm a little disappointed/concerned that known, large, contiguous blocks of sequence are not being passed through to my final assemblies.

    Has anyone else run into this issue? I've seen it with v2.0.1.4 and v. 2.2.1. Attempts to contact the program authors haven't worked out to date.

    An example config file:
    Code:
    DATA
    PE= D1 533 105 /ifs/bulk/rdouglas/bowtie1_Bseqs_unaligned_perfect/run01_1_paired_notB73perfect.fastq /ifs/bulk/rdouglas/bowtie1_Bseqs_unaligned_perfect/run01_2_paired_notB73perfect.fastq
    PE= D2 747 363 /ifs/bulk/rdouglas/bowtie1_Bseqs_unaligned_perfect/run02_1_paired_notB73perfect.fastq /ifs/bulk/rdouglas/bowtie1_Bseqs_unaligned_perfect/run02_2_paired_notB73perfect.fastq
    PE= D3 550 83 /ifs/bulk/rdouglas/Masurca/paired_R1_B_repeat.fastq.gz /ifs/bulk/rdouglas/Masurca/paired_R2_B_repeat.fastq.gz
    PE= D4 95 15 /ifs/bulk/rdouglas/bowtie1_Bseqs_unaligned_perfect/unpaired_notB73perfect.fastq
    PE= D5 290 20 /ifs/bulk/rdouglas/seq_496/unpaired_output_R1_Q20.fastq
    PE= D6 290 20 /ifs/bulk/rdouglas/seq_496/unpaired_output_R2_Q20.fastq
    OTHER= /ifs/bulk/rdouglas/Masurca/B_GSS.frg
    OTHER= /ifs/bulk/rdouglas/Masurca/nate_ellis_seqs.frg
    OTHER= /ifs/bulk/rdouglas/Masurca/theuri_seqs.frg
    END
    
    PARAMETERS
    #this is k-mer size for deBruijn graph values between 25 and 101 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 Illumina-only assemblies and to 0 if you have 2x or more long (Sanger, 454) reads
    USE_LINKING_MATES=0
    #this parameter is useful if you have too many jumping library mates. Typically set it to 60 for bacteria and something large (300) for mammals
    LIMIT_JUMP_COVERAGE = 150
    #these are the additional parameters to Celera Assembler.  do not worry about performance, number or processors or batch sizes -- these are computed automatically. for mammals do not set cgwErrorRate above 0.15!!!
    CA_PARAMETERS = ovlMerSize=30 cgwErrorRate=0.25 ovlMemory=4GB
    #minimum count k-mers used in error correction 1 means all k-mers are used.  one can increase to 2 if coverage >100
    KMER_COUNT_THRESHOLD = 1
    #auto-detected number of cpus to use
    NUM_THREADS=24
    #this is mandatory jellyfish hash size
    JF_SIZE=900000000
    #this specifies if we do (1) or do not (0) want to trim long runs of homopolymers (e.g. GGGGGGGG) from 3' read ends, use it for high GC genomes
    DO_HOMOPOLYMER_TRIM=1
    END

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