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  • jorhodes
    replied
    Originally posted by lindenb View Post
    "36332416 + 0 "

    there is no reads from tne second fastq file in your bam. Did you use single-end instead of paired-end mapping ?
    Hi there, definitely used PE mapping, and two fastqs were inputted.

    Edit: I should add that one likely cause of this is if the insert size is too big for the aligner to declare reads as having aligned properly paired. Have a look at some of them to see if this might be the case. Another possibility is that paired-reads became out of sync at some point (which is annoying as hell!).
    Thanks for this suggestion, I will look into this now.

    Leave a comment:


  • dpryan
    replied
    I think we're talking past each other

    If you have
    Code:
    18166208 + 0 read1
    18166208 + 0 read2
    then a second fastq file was input, the aligner treated things as paired-end, and those alignments exist in the BAM file (though, I suppose the read1 fastq file could have also been specified as the read2 file, which might produce weird results like these).

    Leave a comment:


  • lindenb
    replied
    Originally posted by dpryan View Post
    You're misreading that, the "+0" are for reads with flag 0x200 set..
    I was talking about the 1st line

    Code:
    36332416 + 0 in total (QC-passed reads + QC-failed reads)
    wich is the same as:

    Code:
    36332416 + 0 paired in sequencing
    from the C code, the 1st line is the total number of reads for/rev with a correct QC :
    Code:
    (...)
            printf("%lld + %lld in total (QC-passed reads + QC-failed reads)\n", s->n_reads[0], s->n_reads[1]);
            printf("%lld + %lld duplicates\n", s->n_dup[0], s->n_dup[1]);
            printf("%lld + %lld mapped (%.2f%%:%.2f%%)\n", s->n_mapped[0], s->n_mapped[1], (float)s->n_mapped[0] / s->n_reads[0] * 100.0, (float)s->n_mapped[1] / s->n_reads[1] * 100.0);
            printf("%lld + %lld paired in sequencing\n", s->n_pair_all[0], s->n_pair_all[1]);
       (...)

    Leave a comment:


  • dpryan
    replied
    Originally posted by lindenb View Post
    "36332416 + 0 "

    there is no reads from tne second fastq file in your bam. Did you use single-end instead of paired-end mapping ?
    You're misreading that, the "+0" are for reads with flag 0x200 set.

    Edit: I should add that one likely cause of this is if the insert size is too big for the aligner to declare reads as having aligned properly paired. Have a look at some of them to see if this might be the case. Another possibility is that paired-reads became out of sync at some point (which is annoying as hell!).

    Leave a comment:


  • lindenb
    replied
    "36332416 + 0 "

    there is no reads from tne second fastq file in your bam. Did you use single-end instead of paired-end mapping ?

    Leave a comment:


  • jorhodes
    started a topic Samtools flagstat 0% properly paired

    Samtools flagstat 0% properly paired

    Hi,

    I have used BWA 0.75a to map PE data of WGS to reference, and samtools flagstat to check the resulting BAM file. My pipeline includes the usual sorting, fixing malformed bams, and marking duplicates. I have run this pipeline many times before with no problems, but this one genome had presented something I haven't seen before. The flagstat results are as follows:

    36332416 + 0 in total (QC-passed reads + QC-failed reads)
    0 + 0 duplicates
    32959970 + 0 mapped (90.72%:nan%)
    36332416 + 0 paired in sequencing
    18166208 + 0 read1
    18166208 + 0 read2
    354 + 0 properly paired (0.00%:nan%)
    32959970 + 0 with itself and mate mapped
    0 + 0 singletons (0.00%:nan%)
    417710 + 0 with mate mapped to a different chr
    0 + 0 with mate mapped to a different chr (mapQ>=5)

    I'm quite confused, as I have nearly 91% of my reads mapping to my reference, but barely any properly pairing. QC analysis (using FastQC) did not show anything out of the ordinary, and the library prep gives an average fragment that we are used to seeing. Is this just literally a case of the reads having no overlap, and we should re-run this particular genome, or can anyone suggest anything else for me to try to get to the bottom of this?

    Thanks

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