Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Creating Phylogenetic tree from MAF format file

    I hope this is relevant to the discussions here.

    I am working on a metagenome project and have genome sequences of several strains of a bacteria species, un-assembled, but in contig reads. I used the mugsy program to align them and I have been trying to find a tool to create a tree out of the MAF format file I generated, but I am having issues because of the nature of the original sequences being in contigs rather than assembled.

    I am hoping someone jas worked with unassembled genomes with contig reads and could be able to point me to how I could generate an acceptable multi-alignment format from the data

    Thanks as always.

    mez.

  • #2
    I'm a little unclear about your question. If you have contigs, then you are working with an assembly. Do you mean that you are working with overlapping paired-end reads?

    Comment


    • #3
      Sorry, I guess I should say the reads have been assembled into contigs, I was having trouble aligning the genomes of the different strains, but I am making progress on that now. Just trying to figure how best to use the MAF format file generated to create a phylogenetic tree.

      Comment


      • #4
        I'm not sure that you can create a tree from a MAF file with overlapping reads. With Mugsy, you usually provide separate files for each genome and then infer a tree from sequence conserved in each block. If you can get your MAF file in this format, you can create a FASTA alignment with Galaxy or with scripts in the bx-python package (https://bitbucket.org/james_taylor/bx-python/wiki/Home).

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Best Practices for Single-Cell Sequencing Analysis
          by seqadmin



          While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
          06-06-2024, 07:15 AM
        • seqadmin
          Latest Developments in Precision Medicine
          by seqadmin



          Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

          Somatic Genomics
          “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
          05-24-2024, 01:16 PM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, Yesterday, 06:58 AM
        0 responses
        13 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-06-2024, 08:18 AM
        0 responses
        20 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-06-2024, 08:04 AM
        0 responses
        18 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-03-2024, 06:55 AM
        0 responses
        13 views
        0 likes
        Last Post seqadmin  
        Working...
        X