Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • crh
    Member
    • Dec 2009
    • 46

    #1

    tophat - no junctions

    Hi,

    I've seen similar posts re: problems w/getting junctions from tophat recently. Here is my problem:

    The test data supplied w/ tophat runs fine.

    I rebuilt my genome index (bowtie-build) and then ran bowtie-inspect to generate a .fa file which I then used to replace the original .fa file. There was a file size diff between the original.fa used to generate the indexes and that generated by bowtie-inspect which I can't explain.

    I created $BOWTIE_INDEX to set the full path to the index files.

    I then ran:
    tophat -o no_options $BOWTIE_INDEX/chlre4 ~/phosphate/soap/1690-P/run1/reads/s3.fastqsanger.gz


    Again, no junctions.

    [Sun Jul 24 14:30:08 2011] Beginning TopHat run (v1.3.0)
    -----------------------------------------------
    [Sun Jul 24 14:30:08 2011] Preparing output location no_options/
    [Sun Jul 24 14:30:08 2011] Checking for Bowtie index files
    [Sun Jul 24 14:30:08 2011] Checking for reference FASTA file
    [Sun Jul 24 14:30:08 2011] Checking for Bowtie

    Bowtie version: 0.12.7.0
    [Sun Jul 24 14:30:08 2011] Checking for Samtools

    Samtools Version: 0.1.16
    [Sun Jul 24 14:30:08 2011] Generating SAM header for /seu/cs/home/project/binf/seq/bowtie_ind
    ex/chlre4
    [Sun Jul 24 14:30:08 2011] Preparing reads

    format: fastq
    quality scale: phred33 (default)
    Left reads: min. length=35, count=8749834
    [Sun Jul 24 14:32:51 2011] Mapping left_kept_reads against chlre4 with Bowtie
    [Sun Jul 24 14:57:15 2011] Processing bowtie hits
    [Sun Jul 24 15:01:05 2011] Searching for junctions via segment mapping

    Warning: junction database is empty!
    [Sun Jul 24 15:01:09 2011] Reporting output tracks
    -----------------------------------------------
    Run complete [00:36:54 elapsed]


    Here is the data obtained (junctions.bed is empty):
    -rw-r--r-- 1 charlesh student 325M 2011-07-24 15:07 accepted_hits.bam
    -rw-r--r-- 1 charlesh student 52 2011-07-24 15:05 deletions.bed
    -rw-r--r-- 1 charlesh student 54 2011-07-24 15:05 insertions.bed
    -rw-r--r-- 1 charlesh student 52 2011-07-24 15:05 junctions.bed
    -rw-r--r-- 1 charlesh student 0 2011-07-24 15:16 left_kept_reads.info


    Any suggestions ?

    thanks
    Charles
  • plassaaw
    Junior Member
    • Feb 2011
    • 7

    #2
    Try using it with a .gtf file and the -G option within tophat. GTF files are available from ucsc.

    Comment

    • crh
      Member
      • Dec 2009
      • 46

      #3
      no junctions: problem resolved

      Hi All,

      The read set we are processing at 35nt in length.Based on comments from a colleague and the following SEQanswers thread (http://seqanswers.com/forums/showthread.php?t=8107), the segment-length parameter should be at most half the length of the total read length (e.g. 17).

      I changed --segment-length to 17 and obtained junction predictions.

      What is the minimum length sequence bowtie will map?

      Another tophat question.
      I ran with F=0 (default is -F=.15), to capture the low-expressing genes with the plan to post-filter the 'noise' from the resulting bed file.

      Has anyone else done this, suggestions for post-filtering ?

      thanks!

      Charles

      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
        ...
        Yesterday, 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
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 02:55 AM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-23-2026, 11:41 AM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-20-2026, 11:10 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Working...