Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Samtools mpileup error "[W::sam_read1] parse error at line 1"

    Hello everyone,

    I am analyzing WGS data of my mutant (Raw data in fastq), I performed the alignment by using Bowtie and BWA as:

    Using Bowtie:
    bowtie -S reference.fa file.sam
    then converted the sam file to bam file
    samtools view -bS -o file.bam file.sam

    Using BWA:
    bwa aln reference.fa file.fastq > file.sai
    bwa samse reference.fa file.sai file.fastq gzip > file.sam.gz

    then converted sam.gz to bam
    samtools view -bt reference.fa file.sam.gz | samtools sort -o file.bam

    Then I tried to use mpileup on both bam files but got similar errors:

    samtools mpileup -v reference.fa file.bam > outfile

    [mpileup] 2 samples in 2 input files
    <mpileup> Set max per-file depth to 4000
    [W::sam_read1] parse error at line 1

    Can anyone explain whats wrong and how it can be corrected?
    Thanks

  • #2
    Check samtools mpileup man page.
    You may want to try -f instead of -v ?

    Comment


    • #3
      Are you using the newest versions of bwa/samtools?

      Comment


      • #4
        @dschika will it then give vcf format output?

        @GenoMax,

        I am using bwa-0.7.13 and
        samtools-1.3

        Comment


        • #5
          Ok, probably you want to use -v and -f, my bad.

          As you read the manual which you can find here, you know what -v and -f do:

          -f, --fasta-ref FILE The faidx-indexed reference file in the FASTA format. The file can be optionally compressed by bgzip.
          -v, --VCF Compute genotype likelihoods and output them in the variant call format (VCF). Output is bgzip-compressed VCF unless -u option is set.

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Current Approaches to Protein Sequencing
            by seqadmin


            Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
            04-04-2024, 04:25 PM
          • seqadmin
            Strategies for Sequencing Challenging Samples
            by seqadmin


            Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
            03-22-2024, 06:39 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          25 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          28 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          24 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-04-2024, 09:00 AM
          0 responses
          52 views
          0 likes
          Last Post seqadmin  
          Working...
          X