Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • danova
    Member
    • Sep 2010
    • 27

    #1

    bbduk for mirna mapping

    Hi,
    I have run a miseq run for microrna detection, filtered the data (removed adaptors and ncRNAs (others than microRNAs) and i´m now going to identify reads mapping to microRNAs in Human.

    As for the strategy not sure if i have to map to the human genome or i can directly map to the mature.fa database from mirbase. Any suggestion ? The reason i have choosen not to map to the human genome is that not really interested in denovo microRNAS but on the contrary i´m not sure if i have first to remove reads that can map to other parts of the genome.

    So far i have decided to align to mature mirbase database.

    I´m using the following command:

    bbduk.sh ref=mature.fa.gz in=1.fa.gz stats=statsmature.txt out=mirna.fa hdist=0


    1/ What is the best approach to identify full match microRNAs (no mismatch) with bbduk.
    2/ How to identify isomirs ? Do i need to cluster reads first with vsearch with a 99% identity and then map to mirbase with 100% full match.

    Thanks for your comments
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    By default BBDuk will allow one mismatch of the middle base in a kmer (even with "hdist=0"). You need to add the flag "mm=f" to require exact matches. mm stands for "maskmiddle".

    If you want to require every kmer in a sequence to also be present in the reference, you can also add "mkf=1" (which stands for min kmer fraction). That will make the process completely intolerant of any errors or remaining adapter sequence, though.

    Be sure to specify a kmer length. If you are looking for RNAs as short as 17bp, then set "k=17"; the default is much longer.

    So, the full command might look like:

    Code:
    bbduk.sh ref=mature.fa.gz in=1.fa.gz stats=statsmature.txt out=mirna.fa hdist=0 [B]mm=f mkf=1 k=17[/B]
    ...but you should determine for yourself what value you want for K.

    Comment

    Latest Articles

    Collapse

    • kinpict.com
      Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
      by kinpict.com
      The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
      Today, 06:37 PM
    • SEQadmin2
      16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
      by SEQadmin2





      NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
      10-30-2026, 06:46 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 11-12-2026, 07:59 AM
    0 responses
    27 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 11-05-2026, 09:25 AM
    0 responses
    35 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 11-03-2026, 11:54 AM
    2 responses
    56 views
    0 reactions
    Last Post kinpict.com  
    Started by SEQadmin2, 10-28-2026, 09:57 AM
    0 responses
    175 views
    0 reactions
    Last Post SEQadmin2  
    Working...