Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • narges
    Member
    • Aug 2012
    • 29

    #1

    retrieving NCBI hg19 gene length

    Hi,
    I have a file containing gene names (23400 names) in NCBI hg19 format and this file is obtained from RNA seq analysis using tophat and then HTSEQ. So this file contains the gene names and their associated count numbers. Now I need to have each of these genes length. For example if below is the first line of my file :

    A1BG 200 93 246 102 86 46 58 85

    I need to have also the A1BG length as well.
    what is the efficient way of retrieving length of all genes listed in file using one of Bioconductor packages?
    Thank you in advance

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
    ...
    07-31-2026, 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, 08-03-2026, 10:13 AM
0 responses
19 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-31-2026, 02:55 AM
0 responses
34 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
21 views
0 reactions
Last Post SEQadmin2  
Working...