Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Zapages
    Member
    • Oct 2012
    • 98

    FastQ to aligned BAM file Question - Galaxy

    Hi all,

    I was wondering, how does bowtie fit in with tophat. What I have done so far is the following through Galaxy-Project.

    1) Converted an NGS (RNA-Seq) SRA data to FASTQ file via DRA-SRA or through EBI's SRA to FASTQ converter.

    2) Uploaded this FASTQ file onto Galaxy-Project

    3) Used FASTQ Groomer

    4) Then used FASTQ Groomed file from part 3 with Tophat to get the accepted hits bam file, etc

    5) Now based on the workflow that I am following the methods goes back to Groomed FASTQ to do bowtie

    but the tophat file and bowtie file never get worked together to make one bam file...

    As my ultimate goal is get expression data via cufflinks, how do the two BAM files from bowtie and tophat get incorporated together?

    I have been following this: https://main.g2.bx.psu.edu/u/fluidig...naseq-workflow

    and

    this https://main.g2.bx.psu.edu/u/jeremy/...lysis-exercise

    The second one just uses tophat. But shouldn't we index the file via bowtie as well?

    If we are just using Tophat, then what purpose does bowtie have then? Because I have read in journals that we should use bowtie and tophat together.

    I am confused. If someone could kindly clarify this, I would really appreciate it.

    Thank you.

    Zapages
  • mastal
    Senior Member
    • Mar 2009
    • 666

    #2
    FastQ to aligned BAM file Question - Galaxy

    I had a look at the Galaxy workflows in your links, and I don't know why they use Bowtie and BWA as well as Tophat.

    Bowtie and Tophat are always used together in that, when you run Tophat, it calls Bowtie.

    Comment

    • swbarnes2
      Senior Member
      • May 2008
      • 910

      #3
      Tophat is pretty much the Bowtie algorithm, but for RNA. It knows that the reads might be spliced, so you can give it a list of exon locations, to help it align reads that cross exons.

      Comment

      • Zapages
        Member
        • Oct 2012
        • 98

        #4
        Originally posted by mastal View Post
        I had a look at the Galaxy workflows in your links, and I don't know why they use Bowtie and BWA as well as Tophat.

        Bowtie and Tophat are always used together in that, when you run Tophat, it calls Bowtie.
        Originally posted by swbarnes2 View Post
        Tophat is pretty much the Bowtie algorithm, but for RNA. It knows that the reads might be spliced, so you can give it a list of exon locations, to help it align reads that cross exons.
        Thank you, that was really helpful. So in other words, Tophat is bascially Bowtie 2 for RNA data sets and it is able to see exon regions for RNA-Seq data.

        Am I thinking correctly?

        Comment

        • chadn737
          Senior Member
          • Jan 2009
          • 392

          #5
          Tophat uses Bowtie/Bowtie2 for the alignments. It has additional steps to handle splicing, junction discovery, etc. In the Tophat pipeline, Bowtie is just one component so there is no need to do alignments separately with Bowtie. Just stick with Tophat for RNA-seq data and you will be fine.

          Comment

          Latest Articles

          Collapse

          • 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
          • 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

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 07-20-2026, 11:10 AM
          0 responses
          12 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-13-2026, 10:26 AM
          0 responses
          30 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-09-2026, 10:04 AM
          0 responses
          41 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-08-2026, 10:08 AM
          0 responses
          26 views
          0 reactions
          Last Post SEQadmin2  
          Working...