Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • ikim
    Member
    • Mar 2010
    • 13

    Unannotated sequence

    Hello all,

    I have a mystery sequence that I was hoping y'all could help me with.
    I've assembled a transcriptome set from both illumina and 454 datasets of the same plant sample. My approach to functional annotation has been to use blast searches against nr, refseq and hmmer searches vs interpro.
    After performing expression analysis, I found that my 3rd highest expressed contig a long with a couple more very highly expressed ones were unannotated.
    This 1200 bp sequence is found near identical in both my illumina and 454 assemblies. It has no hits vs nt, nr, refseq, cdd, interpro... it also seems to exist as the linking part of an assembly chimeric of 2600bp
    (kinase-unannotated mystery seq-transferase).
    Could anyone suggest ideas? I'm at a loss. Thanks very much!!

    >c1
    gttttatattagaattgacaaaaacataataataaaaaggttgtgtaactaaagatggcacttattgaaacaacattggctccgaatattactaaccataaccacaaccacggcgtttaagtggtgaacacagtataggtagaaacaaaatccataacatagcactaggaaaccctagaaaaacagggagacagagatgatgatcctctcctctccaaaagcattaccatccacactccagtcaccatcggtgctcaaaattattttactttctttcwsttaattgcctttgttcatcctcaactctctctttcctcccttttcttgcaattcaaattagtattccaatggccactgctgaggttgtatctgcagcgactgcattgcaagagaaagacacaactcatgaggaattgaacaagagcccagttgttgatgagaccaaggaagagaagccaacagaagaagtggtgacaccaccacccacatcagaagaggtcaaggaagacaaggctgatgcttcaatagaggaaccagtagccactacagatcaagcagaagccactgctgaagaagagaaagcagaggaggcacaagttgaggaggtaaaggaaacaaaggattcagttgaagaggagaaagcagtggttgaggagactaaagaagaggaatcaaaagaagataaggttagtactcctgaaccagtagcacctgaagagaagacccacgaaactacacctactactactaaagatgttagtgagagtactgttgaagcagaagagaaagttgttcaatcagagataccagttgaggaagccaaagcaacagaagcagaagagaaagttgttgccgcagagactactccagtagttgagaaggctgaggagtagatttgatctgtgttccccaggattctgattgtctggccagctagtagtgctggatgtttgtgtagtgggtgttttatatagaagcttgcatgttaagagttgatgagttttaatgtagtaaaagaatctatgtaggttatgaggcttggaagttagtatattaacttggtattttcttgggcccaccaagtaccattctgccatgtggcaaaggtccaatgccccaaaaatatgtttcaaattcccaaagcttttgtttggtggagggacactctctctattgcagtgtggagggttgtgtactggttggtctcgtgtactgtggatvdwcatsrsagttgcagcwacatyyraagccaaagagtaatcacagattttaaaagtaagtgttgggccctg
  • Jeremy
    Senior Member
    • Nov 2009
    • 190

    #2
    A functional but non-protein coding RNA? Maybe something in the ENCODE database could help you.

    Comment

    • ikim
      Member
      • Mar 2010
      • 13

      #3
      Thanks for your suggestion Jeremy. I'll inquire with ENCODE.
      I would have thought that non coding rna would have nt annotations at least.

      Comment

      • rbs.sachin
        Junior Member
        • May 2013
        • 1

        #4
        Hello all,

        I have some 454 data and in that there are approx 138 sequences that I am not able to found in Mouse Genome. the are unplaced or uncharacterized.

        So, Please help me to find them.??????//

        Comment

        • kmcarr
          Senior Member
          • May 2008
          • 1181

          #5
          Originally posted by ikim View Post
          Hello all,

          I have a mystery sequence that I was hoping y'all could help me with.
          I've assembled a transcriptome set from both illumina and 454 datasets of the same plant sample. My approach to functional annotation has been to use blast searches against nr, refseq and hmmer searches vs interpro.
          After performing expression analysis, I found that my 3rd highest expressed contig a long with a couple more very highly expressed ones were unannotated.
          This 1200 bp sequence is found near identical in both my illumina and 454 assemblies. It has no hits vs nt, nr, refseq, cdd, interpro... it also seems to exist as the linking part of an assembly chimeric of 2600bp
          (kinase-unannotated mystery seq-transferase).
          Could anyone suggest ideas? I'm at a loss. Thanks very much!!

          Code:
          >c1
          gttttatattagaattgacaaaaacataataataaaaaggttgtgtaactaaagatggcacttattgaaacaacattggctccgaatattactaaccataaccacaaccacggcgtttaagtggtgaacacagtataggtagaaacaaaatccataacatagcactaggaaaccctagaaaaacagggagacagagatgatgatcctctcctctccaaaagcattaccatccacactccagtcaccatcggtgctcaaaattattttactttctttcwsttaattgcctttgttcatcctcaactctctctttcctcccttttcttgcaattcaaattagtattccaatggccactgctgaggttgtatctgcagcgactgcattgcaagagaaagacacaactcatgaggaattgaacaagagcccagttgttgatgagaccaaggaagagaagccaacagaagaagtggtgacaccaccacccacatcagaagaggtcaaggaagacaaggctgatgcttcaatagaggaaccagtagccactacagatcaagcagaagccactgctgaagaagagaaagcagaggaggcacaagttgaggaggtaaaggaaacaaaggattcagttgaagaggagaaagcagtggttgaggagactaaagaagaggaatcaaaagaagataaggttagtactcctgaaccagtagcacctgaagagaagacccacgaaactacacctactactactaaagatgttagtgagagtactgttgaagcagaagagaaagttgttcaatcagagataccagttgaggaagccaaagcaacagaagcagaagagaaagttgttgccgcagagactactccagtagttgagaaggctgaggagtagatttgatctgtgttccccaggattctgattgtctggccagctagtagtgctggatgtttgtgtagtgggtgttttatatagaagcttgcatgttaagagttgatgagttttaatgtagtaaaagaatctatgtaggttatgaggcttggaagttagtatattaacttggtattttcttgggcccaccaagtaccattctgccatgtggcaaaggtccaatgccccaaaaatatgtttcaaattcccaaagcttttgtttggtggagggacactctctctattgcagtgtggagggttgtgtactggttggtctcgtgtactgtggatvdwcatsrsagttgcagcwacatyyraagccaaagagtaatcacagattttaaaagtaagtgttgggccctg
          By eye one can see that this sequence very low complexity (repetitive). Did you run your BLAST search with the default parameters? The default parameters for BLAST mask low complexity regions prior to the search to speed it up by avoiding low information hsps. Using the low complexity filter for this sequence is means very little of the sequence will actually be searched.

          Run a BLASTX of this sequence against the NCBI nr protein database with the low complexity filter disabled. You will see a very large number of hits to proteins in nr. Now most of those are annotated as hypothetical or predicted but at least it's a place to start.

          Comment

          • ikim
            Member
            • Mar 2010
            • 13

            #6
            Thanks very much for your advice Kmcarr and bringing up the low complexity issue. That makes a lot of sense, DUST or Seg was on during my initial searches.
            I'd run repeatmasker on this sequence though with settings to determine low complexity regions but it did not report anything. And unfortunately, turning off filtering on the NCBI blast server did not return any additional results for me.

            Comment

            • kmcarr
              Senior Member
              • May 2008
              • 1181

              #7
              Originally posted by ikim View Post
              And unfortunately, turning off filtering on the NCBI blast server did not return any additional results for me.
              Sorry, forgot to mention that you also need to disable Composition Based Statistics. If you are using the NCBI web BLASTX select "No adjustment" from the pop-up for Compositional adjustments. If you are running blastx on the command line use "-comp_based_stats 0" (that's a zero, not the letter 'O').

              Disabling low complexity filtering and composition based statistics your sequence returned > 100 significant hits (E ≤ 1e-10) vs. the nr protein database. What is being matched is a general pattern of very glutamate rich proteins.

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Nine Things a Sample Prep Scientist Thinks About Before Sequencing
                by SEQadmin2


                I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

                Here are nine questions we think about, in roughly the order they matter, before...
                06-18-2026, 07:11 AM
              • SEQadmin2
                From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
                by SEQadmin2


                Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


                The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
                ...
                06-02-2026, 10:05 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, Yesterday, 11:10 AM
              0 responses
              7 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-17-2026, 06:09 AM
              0 responses
              42 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-09-2026, 11:58 AM
              0 responses
              102 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-05-2026, 10:09 AM
              0 responses
              125 views
              0 reactions
              Last Post SEQadmin2  
              Working...