Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • PRJ
    Junior Member
    • Jun 2009
    • 3

    miRNA identification in plants using smallRNA deep SEQ data

    I am trying to identify miRNAs (novel and conserved) in a plant species using small RNA deep sequencing and a draft genome (~8x coverage). The only problem is that we are not able to release the genome publicly yet. I have seen that there are online programs that have published genomes uploaded - miRcat, miRanalyzer, etc.

    I would like to run a program on my computer to identify miRNAs based on sRNA SEQ and a draft genome. I know there is miRDeep but this seems to be specifically for animal miRNAs which have a more constrained hairpin structure.

    Does anyone know of any programs that I could run on my own computer, not on the internet, to identify miRNAs using my sRNA SEQ and draft genome?

    Does anybody have any other ideas? - Thanks
  • Latifa77
    Junior Member
    • Sep 2013
    • 6

    #2
    Hi,
    How did you solve your problem? Does anyone who is working with miRNAs in plant and deep sequencing ??? Please.

    Comment

    • Blahah404
      Member
      • Dec 2011
      • 48

      #3
      The seqmentSeq R package is designed for small RNA discovery in plants.

      Paper is here: http://bioinformatics.oxfordjournals...28/4/457.short

      Comment

      • Latifa77
        Junior Member
        • Sep 2013
        • 6

        #4
        Hi Blahah404,
        Thanks for you answer. I see that seqmentSeqR is for siRNAs, but I woukd like a program to identify miRNAs.

        Comment

        • Blahah404
          Member
          • Dec 2011
          • 48

          #5
          Whoops, sorry, misread the question.

          Two options that I know of:

          mirDeep-P
          ShortStack

          Comment

          Latest Articles

          Collapse

          • GATTACAT
            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by GATTACAT
            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
            07-01-2026, 11:43 AM
          • 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

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 07-02-2026, 11:08 AM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-30-2026, 05:37 AM
          0 responses
          20 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-26-2026, 11:10 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-17-2026, 06:09 AM
          0 responses
          54 views
          0 reactions
          Last Post SEQadmin2  
          Working...