Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • #16
    I also came across the 'missing header' error. I found that that when converting BAM-> SAM, I had forgotten about printing the headers. This fixed it for me:


    BAM -> SAM:
    Note : -h print header for the SAM output
    Code:
    samtools view -h in.bam > out.sam

    SAM -> BAM (even SAM produced from BWA):

    Code:
    samtools view -bS in.sam > out.bam

    Comment


    • #17
      i have the same problem...

      this is from the man samtools:
      o Import SAM to BAM when @SQ lines are present in the header:

      samtools view -bS aln.sam > aln.bam

      If @SQ lines are absent:

      samtools faidx ref.fa
      samtools view -bt ref.fa.fai aln.sam > aln.bam

      where ref.fa.fai is generated automatically by the faidx command.

      However, i don't know which ref.fa to use.
      The sam i'm trying to convert to bam, sort and index was generated by a foreign seq searching program, readscan, which uses host and pathogen ref seqs and try to map to both of them.

      the actual sam file i'm trying to convert is "ambiguous.sam" which contains reads mapped to both ref seqs.

      can somebody please explain what is going on... what are @SQ lines, why does samtools need them to convert to bam and index the file, why am i expected to provide a ref.fa ....

      its really confusing

      tnx !

      Comment


      • #18
        If you are aligning to something like the human genome, then you would usually have one @SQ line for each chromosome in the sam file header.

        If you have the sequences of the host and pathogen the reads were mapped to, you could combine them into a ref.fa file, and run samtools faidx.

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Recent Advances in Sequencing Analysis Tools
          by seqadmin


          The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
          Today, 07:48 AM
        • seqadmin
          Essential Discoveries and Tools in Epitranscriptomics
          by seqadmin




          The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
          04-22-2024, 07:01 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, Today, 07:17 AM
        0 responses
        11 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 05-02-2024, 08:06 AM
        0 responses
        19 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-30-2024, 12:17 PM
        0 responses
        20 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-29-2024, 10:49 AM
        0 responses
        28 views
        0 likes
        Last Post seqadmin  
        Working...
        X