Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Comparative Genomics - BLAT

    Hello,

    I have assembled two related species using Abyss. However, I would like to know if there is a significant difference between the two genomes. A way of doing this is by aligning both assemblies to one another. I used BLAT for the alignment but now I need help visualizing and interpreting the output.psl file. How can I get the total percentage coverage of the alignment? Lets say, assembly A covers x% of assembly B? Is there a better way of doing this? Please let me know. I would really appreciate your help.


    Thank you,

    -Milo

  • #2
    How big are these genomes? How many contigs are there in each?

    Comment


    • #3
      Originally posted by GenoMax View Post
      How big are these genomes? How many contigs are there in each?
      Hi GenoMax,

      Thank you for replying.

      Assembly a is 444.5MB and it contains 1.4M contigs
      Assembly b is 526.1MB and it contains 1.6M contigs

      Please advice.

      Thank you,

      -Milo

      Comment


      • #4
        Looks like you are a ways away from having a real assembly. You likely will need some custom scripting to get a meaningful answer since I assume your blat result file (even in PSL format) is probably pretty large.

        If the blat results were in blast format and you just wanted to visualize them then http://bioinformatics.oxfordjournals...31/8/1305.full or http://www.biomedcentral.com/1471-2105/15/128 would have been useful.

        Do you have a related reference genome available? What is the expected genome size for your samples?

        Comment


        • #5
          Originally posted by GenoMax View Post
          Looks like you are a ways away from having a real assembly. You likely will need some custom scripting to get a meaningful answer since I assume your blat result file (even in PSL format) is probably pretty large.

          If the blat results were in blast format and you just wanted to visualize them then http://bioinformatics.oxfordjournals...31/8/1305.full or http://www.biomedcentral.com/1471-2105/15/128 would have been useful.

          Do you have a related reference genome available? What is the expected genome size for your samples?
          Hi GenoMax,

          I do no have a related reference genome. Therefore, I aligned both assemblies against each other. My specie is a diploid plant with a 2C DNA value estimated at 5.1 pg (about 5.0 Gb).

          I am going to try the ones that you suggested. Is there a better way of comparing both assemblies? How can I get an alignment percentage coverage? Please let me know.

          Thank you,

          -Milo

          Comment


          • #6
            Perhaps you should concentrate on largest (what is the size range of the largest contigs? Are there any that are 10kb and above?) ones first and see if they are related. That would make your search space smaller.

            Comment


            • #7
              @Milo: With 1.4M+ input sequences those viewer programs are not going to be useful (and your results are not in blast format either).

              You can get an idea of coverage estimate by using Brian's suggestion in this thread: http://seqanswers.com/forums/showthread.php?t=44035 You will have to use the raw data for this. This suggestion is not directly related to question you asked, but may be worth while to do, since you are working with a unknown genome.
              Last edited by GenoMax; 04-16-2015, 05:19 PM.

              Comment


              • #8
                Originally posted by GenoMax View Post
                @Milo: With 1.4M+ input sequences those viewer programs are not going to be useful (and your results are not in blast format either).

                You can get an idea of coverage estimate by using Brian's suggestion in this thread: http://seqanswers.com/forums/showthread.php?t=44035 You will have to use the raw data for this. This suggestion is not directly related to question you asked, but may be worth while to do, since you are working with a unknown genome.
                Hi GenoMax,

                I took the longest 10 contigs from each assembly (>8500 bp with a max length of 120 K for assembly 1 and 104 K for assembly 2) and BLAT aligned them together. They seem to be pretty similar but I would like more in depth information about their differences. I am going to give it a try at what you suggested.

                Thank you for your help and please let me know if you have any other ideas.


                Thank you,

                -Emilio

                Comment


                • #9
                  For those larger contigs that are noted be similar by blat try using Mauve . You can get additional information from Mauve alignments: http://darlinglab.org/mauve/user-guide/files.html

                  Comment


                  • #10
                    Originally posted by GenoMax View Post
                    For those larger contigs that are noted be similar by blat try using Mauve . You can get additional information from Mauve alignments: http://darlinglab.org/mauve/user-guide/files.html
                    Hi GenoMax,

                    I did use Mauve. Attached is a pdf with the Mauve results of largest 10 contigs for both assemblies (gerbera_alignment.pdf). However, Mauve does not work when I align the largest 10 contigs from assembly 1 to the whole assembly 2. I guess it is mostly designed for bacterial genome.
                    Attached Files

                    Comment


                    • #11
                      You should align only 2 contigs that are most similar to each other. If you look closely at the PDF you posted you can probably make out which contigs are most similar to each other as pairs.

                      Again this is not going to help you a lot since you have 1.4M contigs.

                      If you don't know perl/python find a friend who can help parse the blat result file.
                      Last edited by GenoMax; 04-17-2015, 02:06 PM.

                      Comment

                      Latest Articles

                      Collapse

                      • seqadmin
                        Non-Coding RNA Research and Technologies
                        by seqadmin


                        Non-coding RNAs (ncRNAs) do not code for proteins but play important roles in numerous cellular processes including gene silencing, developmental pathways, and more. There are numerous types including microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and more. In this article, we discuss innovative ncRNA research and explore recent technological advancements that improve the study of ncRNAs.

                        [Article Coming Soon!]...
                        Yesterday, 08:07 AM
                      • seqadmin
                        Recent Developments in Metagenomics
                        by seqadmin





                        Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...
                        09-23-2024, 06:35 AM
                      • seqadmin
                        Understanding Genetic Influence on Infectious Disease
                        by seqadmin




                        During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

                        Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
                        09-09-2024, 10:59 AM

                      ad_right_rmr

                      Collapse

                      News

                      Collapse

                      Topics Statistics Last Post
                      Started by seqadmin, 10-02-2024, 04:51 AM
                      0 responses
                      14 views
                      0 likes
                      Last Post seqadmin  
                      Started by seqadmin, 10-01-2024, 07:10 AM
                      0 responses
                      25 views
                      0 likes
                      Last Post seqadmin  
                      Started by seqadmin, 09-30-2024, 08:33 AM
                      1 response
                      31 views
                      0 likes
                      Last Post EmiTom
                      by EmiTom
                       
                      Started by seqadmin, 09-26-2024, 12:57 PM
                      0 responses
                      20 views
                      0 likes
                      Last Post seqadmin  
                      Working...
                      X