Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • aromanowski
    Junior Member
    • May 2013
    • 2

    #1

    Error running Tophat2 + Bowtie 1 on old SOLiD4 RNAseq SE 50bp data

    Dear All,
    I have downloaded some data from SRA (SRP011410), which were on an ABI SOLiD4 (50bp RNAseq reads).

    I am trying to align the reads to the Ensembl TAIR10 reference genome with bowtie 1 and I get the following error:

    Code:
    [2018-02-13 18:59:36] Beginning TopHat run (v2.1.1)
    -----------------------------------------------
    [2018-02-13 18:59:36] Checking for Bowtie
    		  Bowtie version:	 1.2.2.0
    [2018-02-13 18:59:36] Checking for Bowtie index files (genome)..
    [2018-02-13 18:59:36] Checking for reference FASTA file
    [2018-02-13 18:59:36] Generating SAM header for genome-color
    [2018-02-13 18:59:37] Preparing reads
    	 left reads: min. length=50, max. length=50, 43369633 kept reads (234454 discarded)
    [2018-02-13 19:08:20] Mapping left_kept_reads to genome genome-color with Bowtie 
    	[FAILED]
    Error running bowtie:
    Reads file contained a pattern with more than 1024 quality values.
    Please truncate reads and quality values and and re-run Bowtie
    terminate called after throwing an instance of 'int'
    In order to get to that stage, I:
    1) I converted the SRA data to .csfata and .quals files using the abi-dump (v2.8.2) command from the sra toolkit.
    2) I used the Ensembl TAIR10 genome to build the colorspace indexes for bowtie 1, using the command:
    Code:
    bowtie-build -C genome.fa
    3) I ran the following code for tophat2:

    Code:
    tophat2 -p 8 -I 5000 --bowtie1 --color --quals --library-type=fr-secondstrand -o <output_dir> genome-color <csfasta file> <quals file>
    I appreciate any help that you can give me to solve this issue!!!

    Thank you very much!

    Best regards,
    Andres
  • gringer
    David Eccles (gringer)
    • May 2011
    • 845

    #2
    I expect that you should be putting csfastq files into bowtie, rather than csfasta + qual.

    But you'd be a lot better off leaving SOLiD data alone. Replicate the experiment using full-length cDNA sequencing on a MinION; you'll get more data that is much easier to reliably match to isoforms, and probably faster and cheaper than it'll take to sort through the minefield of SOLiD bioinformatics.

    Comment

    • aromanowski
      Junior Member
      • May 2013
      • 2

      #3
      Originally posted by gringer View Post
      I expect that you should be putting csfastq files into bowtie, rather than csfasta + qual.
      Thank you for your advice! I tried using the fastq (generated with fastq-dump instead of abi-dump) and got the same error:

      Code:
      tophat2 -p 8 -I 5000 --bowtie1 --color --library-type=fr-secondstrand -o Col-0_WL_01_thout genome-color SRR444071.fastq 
      
      [2018-02-19 11:55:17] Beginning TopHat run (v2.1.1)
      -----------------------------------------------
      [2018-02-19 11:55:17] Checking for Bowtie
      		  Bowtie version:	 1.2.2.0
      [2018-02-19 11:55:17] Checking for Bowtie index files (genome)..
      [2018-02-19 11:55:17] Checking for reference FASTA file
      [2018-02-19 11:55:17] Generating SAM header for genome-color
      [2018-02-19 11:55:17] Preparing reads
      	 left reads: min. length=50, max. length=50, 40721267 kept reads (225627 discarded)
      [2018-02-19 12:01:53] Mapping left_kept_reads to genome genome-color with Bowtie 
      	[FAILED]
      Error running bowtie:
      Reads file contained a pattern with more than 1024 quality values.
      Please truncate reads and quality values and and re-run Bowtie
      terminate called after throwing an instance of 'int'
      Maybe I should quality filter these reads before starting the mapping? I could definitely try that...

      I also tried using the STAR aligner with this same .fastq file and got 0 mapped reads.

      Your suggestions sound more and more enticing every minute that goes by:
      Originally posted by gringer View Post
      But you'd be a lot better off leaving SOLiD data alone. Replicate the experiment using full-length cDNA sequencing on a MinION; you'll get more data that is much easier to reliably match to isoforms, and probably faster and cheaper than it'll take to sort through the minefield of SOLiD bioinformatics.
      I got a similar dataset (not exactly same tissue, but same genotypes and conditions) from another group that used Illumina, so will try to map those ones with Tophat2 + Bowtie2.

      Anyway, it would have been nice to solve the SOLID issue just for the fun of it. However, time is of the essence and I better get the data instead of satisfying this (now personal) problem! =)

      Thank you,
      Andres

      Comment

      • gringer
        David Eccles (gringer)
        • May 2011
        • 845

        #4
        Something else to try: get rid of reads that have '.' in their sequence:

        Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
          by SEQadmin2



          Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

          Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
          ...
          10-14-2026, 09:55 AM
        • SEQadmin2
          New Genomics Technologies Take Aim at Long-Standing Limits
          by SEQadmin2


          Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

          We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
          ...
          09-28-2026, 10:25 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 10-22-2026, 11:13 AM
        0 responses
        26 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 10:48 AM
        0 responses
        20 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-15-2026, 10:52 AM
        0 responses
        36 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-14-2026, 05:39 AM
        0 responses
        43 views
        0 reactions
        Last Post SEQadmin2  
        Working...