Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • wenhuang
    Member
    • Feb 2010
    • 30

    #1

    gff3 file junction coordinates for tophat

    Hi,

    I have a question on coordinates in a gff3 file supplied to tophat for an RNA seq experiment.

    I am planning on converting the Ensembl gtf file to gff3 file. For example, one of the line in the gtf file looks like (a real example based on GRCh37):

    11 protein_coding exon 207303 207383 . - . gene_id "ENSG00000177951"; transcript_id "ENST00000410108"; exon_number "1"; gene_name "BET1L"; transcript_name "BET1L-005";

    I have questions on whether these coordinates can be supplied directly without any change. It seems to me (and a check in UCSC browser) that the start position "207303" is a "1" based coordinate while the end position "207383" is a "0" based coordinate.

    In a simplified example, the coordinates "TCG" in the following sequences would be: start = 2 and end = 4 in the gtf file

    |A|T|C|G|A|T|

    The manual of tophat and bowtie do not seem to give specific instructions on this issue. Should I subtract 1 from the start position or add 1 to the end position or keep as it is?

    Any suggestion would be appreciated!

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
9 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
12 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
12 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...