Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • juliacc
    Junior Member
    • Aug 2013
    • 1

    #1

    Question about running Cufflinks on ENCODE RNA-Seq data

    Hello,

    I'm new in the community but I found many helpful posts in the past, so here is my question.

    I downloaded around 60 .bam files from the ENCODE repository. The header size was giving problems and I converted them to .sam as one of the answers in these thread suggested.

    Code:
    samtools view -h -o file.sam file.bam
    And when I run Cufflinks I get many lines with this error:

    SAM error on line 862765: found spliced alignment without XS attribute

    I am executing this on batch, so it is still running and, for some files, Cufflinks finish and produces the gene count, for other files I am not sure if it just hasn't finished yet.

    I've been reading many posts about the XS attribute, but I don't know why would it be missing if I just converted from .bam to .sam. And would you know if it affects the read counts for genes?

    Thank you,
    Julia
  • AmitPande
    Junior Member
    • Dec 2011
    • 6

    #2
    Did you find a solution yet ? Even I am facing the same prolem with ENCODE RNAseq data

    Comment

    • bye
      Junior Member
      • Sep 2010
      • 8

      #3
      Not sure how this error will affect the counts, but it's not hard to add XS tags.

      Code:
      samtools view -Xh yourfile.bam | awk -F"\t" '{if(NF<7)print $0; if($2~"P"&&$2!~"r"){print $0"\tXS:A:+"}else if($2~"P"&&$2~"r"){print $0"\tXS:A:-"}else{print $0}}' > yourfile.xs.sam
      XS tags label the strand of alignment; samtools view -X will convert the flags into human readable format, then you can add strand information accordingly.

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        07-31-2026, 11:01 AM
      • SEQadmin2
        Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
        by SEQadmin2


        Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 10:35 AM
      0 responses
      3 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-06-2026, 07:41 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      40 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      46 views
      0 reactions
      Last Post SEQadmin2  
      Working...