Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Noremac
    Junior Member
    • May 2011
    • 1

    #1

    De Novo Transcriptome Assembly QC

    Hello All,

    This is my first post, and I'm newish to assembly, so stick with me.

    I was curious as to what people out there are doing with regards to evaluating de novo transcriptome assemblies. I have tried read-remapping to assembled ests, pairing percentages (assuming you started with paired reads, lets say illumina), assembled est mapping to best references (to see how well your set represents whats out there), simple chimera searching by blasting against uniprot and looking for disjoint reference hits, frameshifts, and strand switches, and using coding and non-coding predictors (estscan, Infernal, Augustus) to determine what percentage of your set looks to be an est.

    Do these things make sense to anyone else?

    What if you don't have a well represented reference to compare against?

    What other things can I do?

    Lets say that the starting set is illumina pe reads of a reasonable length (54-100).

    Thank you for your time and commentary

Latest Articles

Collapse

  • SEQadmin2
    Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
    by SEQadmin2



    CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

    Despite this, “CRISPR helped turn genome editing from a specialized technique into
    ...
    Yesterday, 11:01 AM
  • SEQadmin2
    Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
    by SEQadmin2


    Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

    The systematic characterization of the human proteome has
    ...
    07-20-2026, 11:48 AM
  • 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

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Yesterday, 02:55 AM
0 responses
13 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
13 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
13 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-20-2026, 11:10 AM
0 responses
24 views
0 reactions
Last Post SEQadmin2  
Working...