Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Krish_143
    Member
    • Jan 2012
    • 45

    Rfam for bacteria

    Hi

    Any one suggest me how to identify ncRNAs for bacteria (Deep sequencing data).

    I want to identify ncRNAs in Bacteria.

    Currently i am using Rfam along with Infernal. I want to know how to screen/separate bacteria from the Rfam database.

    * Any suggestions for software/databases.

    Thanks.
    Last edited by Krish_143; 07-18-2012, 05:25 AM.
    Krishna
  • ppgardne
    Member
    • Oct 2010
    • 13

    #2
    If you have a particular bacteria in mind then you browse the genomes page. Alternatively, if you want a list of Rfam families that contain bacterial sequences, then you could email [email protected] and ask for it.
    Are your reads assembled or are they short fragments? If the latter, then CMs have a pretty major problem with truncated sequences. See the article by Kolbe & Eddy. The new release of Infernal may be more robust to truncations.

    Comment

    • Krish_143
      Member
      • Jan 2012
      • 45

      #3
      1) Reads mapped to the genome (with out using annotation file) using Tophat, bwa, bowtie2 and bowtie and then cufflinks for assembly. Annotate the assembled transcripts.

      2) De-novo assembly using Trinity, Soap denovo. Annotate assembled transcripts.

      3) Gneome annotation by Rfam along with infernal-1.1rc1 using cmsearch and creating gff or GTF again reads are mapped to the genome genome (1) with annotation file.

      I have short reads as well as assembled data (1), (2) and Genome for annotation.

      Yeah i sent mail and requested looking eddys article, any more suggestions.

      Thanks.
      Krishna

      Comment

      • pole_sana
        Junior Member
        • Jul 2012
        • 6

        #4
        if you have your transcript assembled you could use something like RNAz to test the so far not annotated transcript if they are structural conserved, this might give you hint.

        Comment

        • Krish_143
          Member
          • Jan 2012
          • 45

          #5
          Pole_sana @ I do not have any idea how to annotate using RNAz.Can you give me an outline or suggestion of articles . I will check it.

          Thanks.
          Krishna

          Comment

          • pole_sana
            Junior Member
            • Jul 2012
            • 6

            #6
            Originally posted by Krish_143 View Post
            Pole_sana @ I do not have any idea how to annotate using RNAz.Can you give me an outline or suggestion of articles . I will check it.

            Thanks.
            you have to choose related species; blast your putative ncRNA there, if you find homologues you align them; this alignment can be evaluated with RNAz whether there seems to be a structural conservation, which implies a function for the structure (and thus the conservation of this structure) which is often the case with ncRNA.

            what RNAz is doing you can see on the webserver version (there is of course also a stand alone version) http://rna.tbi.univie.ac.at/cgi-bin/RNAz.cgi

            If this seems to much work for you you can also compare your not annotated transcripts with other ncRNA prediction tools, such as SIPHT or NAPP (just google them).

            regards

            Comment

            • Krish_143
              Member
              • Jan 2012
              • 45

              #7
              pole_sana@ Yeah i will go through with RNAz and i am using other prediction tools like. sRNAPredict2, NAPP and RNAspace(which Using internally all these Softwares) and few other softwares.

              SIPHT might be used only comparison of existing genomes but how can it work with new genomes which dosen't have close species. it might be possible to check only using reference genome data.

              Thanks.
              Krishna

              Comment

              • pole_sana
                Junior Member
                • Jul 2012
                • 6

                #8
                if you do not have cosely related species than sipht and RNAz can t be applied, since they are based on genome comparision;

                Comment

                • Krish_143
                  Member
                  • Jan 2012
                  • 45

                  #9
                  pole_sana@
                  Ok, we have different genomes data. Where few doe's not have closely related (sRNAs annotation only genome annotation available) and for the rest i can use these tools(SIPHT, RNAz).

                  Rfam is one of the good option thats why i want to annotate only using bacterial families and then later with othere tools.

                  Any Suggestions,

                  Thanks.
                  Krishna

                  Comment

                  Latest Articles

                  Collapse

                  • 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
                  • SEQadmin2
                    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                    by SEQadmin2



                    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                    ...
                    07-09-2026, 11:10 AM
                  • SEQadmin2
                    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                    by SEQadmin2



                    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                    07-08-2026, 05:17 AM

                  ad_right_rmr

                  Collapse

                  News

                  Collapse

                  Topics Statistics Last Post
                  Started by SEQadmin2, Today, 12:17 PM
                  0 responses
                  9 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, Yesterday, 11:41 AM
                  0 responses
                  11 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-20-2026, 11:10 AM
                  0 responses
                  23 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-13-2026, 10:26 AM
                  0 responses
                  37 views
                  0 reactions
                  Last Post SEQadmin2  
                  Working...