Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Old Pioneer
    Junior Member
    • Jan 2016
    • 1

    Write the subset of reads from BAM file into new SAM/BAM file, using R tools.

    Hello every one.

    I am new in bioinformatic, and now I try solve the next problem. I have sorted BAM file with paired-end RNA-Seq data (several tens of thousands reads). My work tool is R. I need: 1) Filter this file by "isize" field: extract the reads with isize not equal to NA and with absolute value of isize lower than threshold (in this case, 642 bp); 2) Write this subset into SAM file, because this type is required for package which I will use.

    I tried use R package Rsamtools for this, function filterBam(). Remove reads with isize == NA is possible by means scanBamFlag:
    flag <- scanBamFlag(isPaired = TRUE, hasUnmappedMate = FALSE).

    But I have no idea about filtration by threshold (abs(bamFile$isize) <= 642). How I can do it in R? I do not believe that effective way for this does not exist. Unfortunately, my experience in R and programming for now is inadequate for solve this problem quickly. Can someone to help me? Thanks in advance!

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, Yesterday, 10:26 AM
0 responses
12 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-09-2026, 10:04 AM
0 responses
25 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-08-2026, 10:08 AM
0 responses
16 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-07-2026, 11:05 AM
0 responses
33 views
0 reactions
Last Post SEQadmin2  
Working...