Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Avazeh
    Junior Member
    • Jul 2012
    • 7

    #1

    Tool for Human to Gorilla alignment

    Hi all,

    I have 400 human seqs to align to Gorilla and Chimp. Tried UCSC and got a useful alignment for Chimp but the Gorilla one has supercontigs rather than chromosome numbers

    I have to add 2kb to the aligned seqs and then pass to another tool. But his is not possible with just having supercontigs numbers! So I am looking for an alternative.

    Any idea or thought would be much appreciated,
    Avazeh
  • ishmael
    Member
    • Jul 2008
    • 17

    #2
    Would you mind to provide more details?
    What's the tool you used to do the aignment? liftover?
    What's the nature of your data?

    Comment

    • Avazeh
      Junior Member
      • Jul 2012
      • 7

      #3
      Sure:

      I have 400 human seqs, each between 2kb to 4kb. I need to map them to Gorilla and Chimp and then look for motifs in the extended alignments found. Submitted the regions to UCSC table browser and downloaded conservation in Comparative Genome group, using Multiz Align option to get the sequences in the alignments too. Unfortunately these alignment are just available on gorGOR1 which is the first Gorilla build and contains contig number rather than chromosome number! So I really don't know where on Gorilla genome they hit and cannot extend it to do motif analysis

      I need to align my regions to Gorilla's 2011 built, gorGOR3, in which the supercontigs are resolved into chromosomes.

      Any help is appreciated

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        Originally posted by Avazeh View Post
        I need to align my regions to Gorilla's 2011 built, gorGOR3, in which the supercontigs are resolved into chromosomes.
        gorGOR3 is available from Ensembl, so I would recommend just downloading the fasta files and aligning to them.

        Comment

        • ishmael
          Member
          • Jul 2008
          • 17

          #5
          If all sequences are form human, I would suggest use reciprocal liftover approach.
          1. download liftover program from UCSC.
          2. download liftover chain files: both of human to gorilla and gorilla to human. You can find them under the genome file download pages.
          3. mapping the sequences to human genome, and get the coordination in bed format.
          4. convert human bed to gorilla genome by liftover, allow multiple convertion.
          5. convert the converted gorilla bed file back to human genome, also multiple loci allowed.
          6. filtered the results that the gorilla and human could be converted reciprocally.
          That's the protocol I think relatively reliable.

          Comment

          • Avazeh
            Junior Member
            • Jul 2012
            • 7

            #6
            Thank you both, will try them out

            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, Yesterday, 11:13 AM
            0 responses
            21 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, Yesterday, 10:48 AM
            0 responses
            18 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
            42 views
            0 reactions
            Last Post SEQadmin2  
            Working...