Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • pandamon
    Junior Member
    • Mar 2015
    • 4

    .bed file to GRanges object

    Hi,

    I have a bed file containing chromosome number and start to end position of reads. This bed file is 0-based so the first read starts from 0 instead of one.

    I converted the bed file into GRanges object in the following way:

    Code:
    makeGRangesFromDataFrame(mybedfile, starts.in.df.are.0based=T,
             seqinfo = Seqinfo(seqnames=as.character(unique(mybedfile$chr)),
    	 seqlengths = seq.lengths))
    I end up with a GRanges object of my bed file where the starting positions are all shifted by one nucleotide i.e. 0 become 1, 5 becomes 6, and so on. However, the end position is not shifted. It seems to me that the function trims one nucleotide of every read at the starting point. So, can anyone explain to me what is actually happen and what was the motivation?

    Thanks. Cheers.
  • SylvainL
    Senior Member
    • Feb 2012
    • 180

    #2
    The end doesn't have to be shifted. Obased bed files were done to make easier the calculation of the length of an interval. For example, if your read goes from bp number 2 to bp number 10 (a short read ), the length of your read is 9bp. With a 0based bed, this read will be annotated as going from 1 to 10 (so if you do 10-1=9 you directly get the length of the read), even though your read is not overlapping the nucleotide 1. Hope I'm clear enough...
    Last edited by SylvainL; 06-04-2015, 01:11 AM.

    Comment

    • pandamon
      Junior Member
      • Mar 2015
      • 4

      #3
      Hey SylvainL. Thanks a lot for the explanation. They're clear enough so don't worry.. :-)

      Cheers.

      Comment

      Latest Articles

      Collapse

      • 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
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        07-08-2026, 05:17 AM
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 07-13-2026, 10:26 AM
      0 responses
      28 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      37 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      35 views
      0 reactions
      Last Post SEQadmin2  
      Working...