Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • svitlana
    Member
    • Jun 2017
    • 16

    #1

    Genome annotation with BRAKER: how to interpret the results?

    Hello,

    I am new to the genome annotation and I'm lost with the interpretation of results produced by BRAKER.
    • I have a de novo assembly of an insect genome (N50 = 350kb, length = 1.9 Gb).
    • I masked the repeats using RepeatModeler and RepeatMasker.
    • I mapped the RNA-Seq data from the same species to the (hard) masked genome with HISAT2.
    • I used BRAKER to annotate my (soft masked) genome with the bam file produced by HISAT2.



    I have 54000 entries in the resulting augustus.hints.gff file. That means that Augustus predicted 54k genes, right? We expect to have between 10k and 20k genes for our species, so I would like to understand why there are so many genes in our prediction.

    Among these 54k entries, 38k entries contain the following information:

    Code:
    # % of transcript supported by hints (any source): 0
    Does it mean that these predictions are of poor quality and I should only keep predictions with a significant %?

    Any other suggestions on how to enhance the annotation of my genome are welcome!

Latest Articles

Collapse

  • SEQadmin2
    16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
    by SEQadmin2




    NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
    Yesterday, 06:46 AM
  • SEQadmin2
    Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
    by SEQadmin2



    Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

    Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
    ...
    10-14-2026, 09:55 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 10-28-2026, 09:57 AM
0 responses
26 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-28-2026, 09:51 AM
0 responses
17 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 11:13 AM
0 responses
71 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 10:48 AM
0 responses
48 views
0 reactions
Last Post SEQadmin2  
Working...