Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Best classifier for viral reads--PhyloSift? BLAST? Others?

    I'm trying to compare methods of classifying RNA and DNA virus reads from metagenomic sequeincing data. I've got MetAMOS set up, and I'm mainly interested in the annotation steps right now. So far, out of Kraken, PhyloSift, FCP, PhymmBL, and BLAST, only PhyloSift and BLAST give somewhat correct results (I'm running a sample known to contain lots of orthomyxovirus cDNA). BLAST annotation is fine but slow. The trouble with PhyloSift is that for the majority of its virus calls, when I go back to find the contig that resulted in a virus call, none of it will BLAST to what it should. Not even with very loose parameters.

    I'm probably looking at this the wrong way--PhyloSift works differently than I'm used to I know. If it's as simple as that, how can I go about verifying hits (or at least become confident) that result from PhyloSift?

    Alternatively, should I be trying a different classifier? The others I mention seem to default in MetAMOS to Bacteria/Archea classification, or DNA viruses only. Any advice here?

    Thanks

  • #2
    Hi,

    I know it's been a year since you posted this, so i am wondering if you found some good classification tools for viruses, and how did phyloshift work out for you.
    Also i am wondering if you are looking for novel viruses how would you go about in finding them properly, basic assmebly and then mapping?

    Cheers

    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