Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • heso
    Member
    • May 2014
    • 19

    Can I use htseq --samout file for subsequent annotation?

    Hi,
    So briefly what I'm doing is that:
    -->I'm annotating my smallRNA sequencing data using htseq-count.
    -->I'm using original.sam to annotate miRNAs and using -o to get the out.sam
    -->From that out.sam I can grep out the 'no_feature' reads/rows.

    The question:
    Maybe a stupid idea but is there any way I could use this out_no_feature.sam file for another round of htseq annotationagainst e.g. rRNA.gtf?

    As the out_no_feature.sam does not have a header, is there any way to reheader it or use the header from the original.sam file? Also, I guess I need to remove the last column "XF:Z:__no_feature" from the out_no_feature.sam

    Thanks ahead for comments and help
  • Michael.Ante
    Senior Member
    • Oct 2011
    • 127

    #2
    Hi Heso,

    You can use RSeQC's bam2fq.py to make a fastq file out of your "out_no_feature.sam".
    In order to get the header into your files, use:
    Code:
    samtools view -SH original.sam > header.txt
    Then use something like:
    Code:
    cat header.txt out_no_feature.sam | samtools view -bSh - > out_no_feature.bam
    . In case it was not sorted according to the position, you may need to include a samtools sort into the pipe.
    The "XF:Z"-field does not influence the downstream analysis. But since you have only alignments with this field will not give you any further information.

    Cheers,
    Michael
    Last edited by Michael.Ante; 05-18-2016, 03:42 AM. Reason: Typo

    Comment

    • heso
      Member
      • May 2014
      • 19

      #3
      Originally posted by Michael.Ante View Post
      Hi Heso,

      You can use RSeQC's bam2fq.py to make a fastq file out of your "out_no_feature.sam".
      In order to get the header into your files, use:
      Code:
      samtools view -SH original.sam > header.txt
      Then use something like:
      Code:
      cat header.txt out_no_feature.sam | samtools view -bSh - > out_no_feature.bam
      . In case it was not sorted according to the position, you may need to include a samtools sort into the pipe.
      The "XF:Z"-field does not influence the downstream analysis. But since you have only alignments with this field will not give you any further information.

      Cheers,
      Michael

      Thanks Michael, it worked perfectly!!

      /Helena

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        07-09-2026, 11:10 AM
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        07-08-2026, 05:17 AM
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 10:26 AM
      0 responses
      10 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      33 views
      0 reactions
      Last Post SEQadmin2  
      Working...