Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • kaps
    Member
    • Jan 2015
    • 71

    #1

    igv visualization

    Dear all,
    I have used bowtie2 to align paired – end illumina reads from cowpea and generated bam files. my next task is to visualise the alignments using igv. how do i proceed without a cowpea enome. My interest is to find out the proportion (number or percentages) of reads a matching each of the virus hits.
    I am working on a server.
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    You aligned the reads to something, so that thing is your reference genome.

    Comment

    • GenoMax
      Senior Member
      • Feb 2008
      • 7142

      #3
      @kaps: As Devon has already pointed out, your "reference" in this case is the fasta format genome file that you used to create your aligner indexes. You can't identify the "virus" hits unless you know (from an annotation source e.g. a GTF file) where the "virus" is in this reference genome file.

      Where did you get your reference genome from? Perhaps there is an annotation file available there.

      Comment

      • kaps
        Member
        • Jan 2015
        • 71

        #4
        Hello,
        For the aligner indexes (reference genomes) I used multi-fasta files downloaded from NCBI.

        Comment

        • GenoMax
          Senior Member
          • Feb 2008
          • 7142

          #5
          Then that multi-fasta file is your "reference" genome for IGV. You can import that file using the directions under section "loading a genome" here: http://www.broadinstitute.org/igv/LoadGenome

          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, 08-13-2026, 12:22 PM
          0 responses
          17 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-11-2026, 10:35 AM
          0 responses
          16 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-06-2026, 07:41 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-03-2026, 10:13 AM
          0 responses
          50 views
          0 reactions
          Last Post SEQadmin2  
          Working...