Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • icd20
    Junior Member
    • Dec 2020
    • 1

    #1

    Help with ERV analysis

    Hi,
    Very new to this! Apologies if not enough information given.
    I'm trying to count the change in ERV expression before and after treatment of human cell lines with a drug. I have been using the gEVE database, which provides a GTF annotation for human genomes (http://geve.med.u-tokai.ac.jp/download/).
    My pipeline is: generate genome indices using STAR --> trim reads (fasta files) using trimmomatic --> sort, remove blacklisted regions --> align trimmed reads to genome using STAR again --> count reads using featureCounts.

    All seems fine except counting reads: I get a very low percentage of assigned reads (usually 0.1%) and these are mainly due to "Unassigned_NoFeatures". This is my input for featureCounts:
    fc_ERV <- featureCounts(files=filenames, annot.ext="Hsap38.geve.v1.gtf", isGTFAnnotationFile=TRUE, GTF.featureType="CDS", countMultiMappingReads=TRUE, genome='Homo_sapiens.GRCh38.dna.primary_assembly.fa', isPairedEnd=TRUE,nthread=20)
    I have used "GTF.featureType="CDS"" because the GTF from gEVE does not have an exon column, only CDS.
    Any ideas on what I'm doing wrong? I am new to Bioinformatics, any help would be much appreciated.
    Last edited by icd20; 02-08-2021, 07:53 AM.

Latest Articles

Collapse

  • 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
  • SEQadmin2
    New Genomics Technologies Take Aim at Long-Standing Limits
    by SEQadmin2


    Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

    We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
    ...
    09-28-2026, 10:25 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 10-22-2026, 11:13 AM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-22-2026, 10:48 AM
0 responses
20 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-15-2026, 10:52 AM
0 responses
36 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 10-14-2026, 05:39 AM
0 responses
42 views
0 reactions
Last Post SEQadmin2  
Working...