Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • super0925
    Senior Member
    • Feb 2014
    • 206

    reference mapping database in RNA-seq, which one is best? UCSC or Ensembl?

    Hi everyone, I am a rookie in RNA-Seq.
    When I do the reference mapping in RNA-seq, what is the advantage of each reference genome database(UCSC, NCBI or Ensembl)?
    Which one could I use? or no matter what I use?
    Do I need to uniform the database in different species (e.g. all species use the UCSC database)?

    Last edited by super0925; 05-01-2014, 05:37 AM.
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    I don't think there is a "best" database. At a minimum you should plan to stick with one source for all analysis.

    UCSC's annotations are conservative as compared to the Ensembl (which may have several computational predictions in the genome annotation GTF files).

    Illumina has an expanded iGenomes source available here: http://support.illumina.com/sequenci...e/igenome.ilmn

    Comment

    • super0925
      Senior Member
      • Feb 2014
      • 206

      #3
      Originally posted by GenoMax View Post
      I don't think there is a "best" database. At a minimum you should plan to stick with one source for all analysis.

      UCSC's annotations are conservative as compared to the Ensembl (which may have several computational predictions in the genome annotation GTF files).

      Illumina has an expanded iGenomes source available here: http://support.illumina.com/sequenci...e/igenome.ilmn
      Thank you for your remind.
      I use Btau_4.0 (Ensembl) in cow but hg19 (UCSC) in human.
      It seems that I need to make cow and human both stick to Ensembl (or UCSC).

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        Originally posted by super0925 View Post
        It seems that I need to make cow and human both stick to Ensembl (or UCSC).
        Not strictly. They are two different genomes, after all.

        I just was pointing out that there are annotation differences between UCSC/Ensembl. If you are planning to use tuxedo suite you may run into some problems with the GTF files because of the content differences.

        Comment

        • super0925
          Senior Member
          • Feb 2014
          • 206

          #5
          Originally posted by GenoMax View Post
          Not strictly. They are two different genomes, after all.

          I just was pointing out that there are annotation differences between UCSC/Ensembl. If you are planning to use tuxedo suite you may run into some problems with the GTF files because of the content differences.
          Sorry I am confused. So do you suggest me all (human, cow and mouse) reference genome to use UCSC if I use Tuxedo? or all dataset to use NCBI ref? Or all to use Ensembl ref? Or actually it doesn't matter but I must stick to one database among different species.
          Thank you!
          Last edited by super0925; 05-01-2014, 06:19 AM.

          Comment

          • GenoMax
            Senior Member
            • Feb 2008
            • 7142

            #6
            If you intend to try to map results across various species then it may be useful to use UCSC since they will have "liftOver" files available for cross species mapping of regions.

            Otherwise as long as your species specific analyses are independent you can select and stick with one (any of the three) source of data.

            Comment

            • super0925
              Senior Member
              • Feb 2014
              • 206

              #7
              Originally posted by GenoMax View Post
              If you intend to try to map results across various species then it may be useful to use UCSC since they will have "liftOver" files available for cross species mapping of regions.

              Otherwise as long as your species specific analyses are independent you can select and stick with one (any of the three) source of data.
              Thank you!
              Do You mean
              condition 1 vs condition 2 in cow
              condition 1 vs condition 2 in human
              I could use any of 3 source of data.

              But if condition 1 in cow vs condition 1 in human
              UCSC is best.
              Am I right?

              Comment

              • GenoMax
                Senior Member
                • Feb 2008
                • 7142

                #8
                Originally posted by super0925 View Post
                Thank you!
                Do You mean
                condition 1 vs condition 2 in cow
                condition 1 vs condition 2 in human
                I could use any of 3 source of data.

                But if condition 1 in cow vs condition 1 in human
                UCSC is best.
                Am I right?
                Yes.

                For second case, UCSC is "best" only in the sense that it will allow you to possibly map regions across the species easily using liftOver data.

                Comment

                • super0925
                  Senior Member
                  • Feb 2014
                  • 206

                  #9
                  Originally posted by GenoMax View Post
                  Yes.

                  For second case, UCSC is "best" only in the sense that it will allow you to possibly map regions across the species easily using liftOver data.
                  I found a online tools to convert Ensembl ID to gene symbol
                  Biomart
                  Is this good to solve the limited in Ensembl ?
                  And I found that some genes with Ensembl ID but without gene symbol.
                  Last edited by super0925; 05-08-2014, 05:44 AM.

                  Comment

                  • GenoMax
                    Senior Member
                    • Feb 2008
                    • 7142

                    #10
                    Originally posted by super0925 View Post
                    I found a online tools to convert Ensembl ID to gene symbol
                    Biomart
                    Is this good to solve the limited in Ensembl ?
                    And I found that some genes with Ensembl ID but without gene symbol.
                    Ensembl data tends to have computational/automated annotations that may not be fully validated. As a result they will not have gene symbols (and/or there may be multiple entries for a region).

                    Comment

                    • DerSeb
                      Member
                      • Oct 2009
                      • 44

                      #11
                      For mapping I always use the Ensembl GTF annotation files, since they are less conservative and contain many possible transcripts.

                      I simply want to maximize the amount of splice junctions available for mapping.

                      For later analyses I decide depending on project/organism which annotation files I use.

                      Comment

                      • super0925
                        Senior Member
                        • Feb 2014
                        • 206

                        #12
                        Originally posted by GenoMax View Post
                        Ensembl data tends to have computational/automated annotations that may not be fully validated. As a result they will not have gene symbols (and/or there may be multiple entries for a region).
                        Hi if I have a list of genes by Ensembl ID or Gene namein cows, I want to covert them to human Ensembl ID and Gene name. I could do it by website http://www.ensembl.org/biomart/martview/ AM I right?
                        But it is not automatically.
                        Could you please recommend other R package to achieve the Gene-ID converter?
                        Last edited by super0925; 05-09-2014, 01:29 AM.

                        Comment

                        Latest Articles

                        Collapse

                        • 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
                        • 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

                        ad_right_rmr

                        Collapse

                        News

                        Collapse

                        Topics Statistics Last Post
                        Started by SEQadmin2, 07-13-2026, 10:26 AM
                        0 responses
                        20 views
                        0 reactions
                        Last Post SEQadmin2  
                        Started by SEQadmin2, 07-09-2026, 10:04 AM
                        0 responses
                        31 views
                        0 reactions
                        Last Post SEQadmin2  
                        Started by SEQadmin2, 07-08-2026, 10:08 AM
                        0 responses
                        20 views
                        0 reactions
                        Last Post SEQadmin2  
                        Started by SEQadmin2, 07-07-2026, 11:05 AM
                        0 responses
                        34 views
                        0 reactions
                        Last Post SEQadmin2  
                        Working...