Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • gwh120104
    Junior Member
    • May 2015
    • 4

    #1

    Empty output of cufflinks

    Hi, everyone. I am new in the NGS technology. I need some help about cufflinks.

    Currently, I want to get some assembled alignment results of e coli whole genome sequencing data. I downloaded the sra file of e coli whole genome sequencing data from the NCBI SRA website (http://www.ncbi.nlm.nih.gov/sra) and convert it to fastq files via sra toolkit. I installed bowtie2, tophat and cufflinks on a EC2 machine. I tried two pre-built reference genome files from the NCBI and UCSC, respectively(http://support.illumina.com/sequenci...e/igenome.html). I used tophat to do the alignment and I can get the results, 'accepted_hit.bam'. Then I ran the cufflinks. I got empty "transcripts.gtf". Could you help me with these. Thanks a lot!

    P.S. Here are the command line I used
    SRA convert: fastq-dump SRR1706196.sra
    tophat: tophat -p -8 genome SRR1706196.fataq
    cufflinks: time cufflinks -p 8 accepted_hit.bam
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    SRR1706196 is a WGS dataset. On other hand tophat/cufflinks are meant for analysis of RNAseq data.

    Are you trying to learn analyzing RNAseq data?

    Comment

    • gwh120104
      Junior Member
      • May 2015
      • 4

      #3
      Actually, I plan to analyse RNAseq data in the future. But currently I want to use the tophat/cufflinks to align and assemble the WGS data. Can I do it? Or are there any other approaches? Thanks!

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        tophat/cufflinks are designed to align expressed sequences to a reference genome. So they would be appropriate to use in future when you are trying to analyze RNAseq data.

        If you are looking for alignment programs for NGS data then start with bwa, bowtie/bowtie2, BBMap etc. Assembly programs are more complex but options there would be SPAdes (for bacterial genomes), Velvet, SOAP, ALLPATHS, DiscovarDeNovo etc.
        Last edited by GenoMax; 05-22-2015, 08:03 AM.

        Comment

        • gwh120104
          Junior Member
          • May 2015
          • 4

          #5
          Thank you very much! So using tophat/cufflinks is not a good choice for the simple alignment and assembly of WGS data. I will think about it.

          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
          • 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, Today, 07:41 AM
          0 responses
          9 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-03-2026, 10:13 AM
          0 responses
          23 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-31-2026, 02:55 AM
          0 responses
          36 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          25 views
          0 reactions
          Last Post SEQadmin2  
          Working...