Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • a.kmg
    Member
    • Aug 2014
    • 15

    A great tool to count multiple aligned reads.

    Dear members of seqanswers,

    Do you know a tool for counting multiple aligned reads?

    Currently I use the htseq-count tool, but it doesn't take into account this type of read.

    I know cufflinks allows this kind of thing, but I do not like this tool, because for me it is a "black box".

    There are some time ERANGE allowed to do this assigning multiple aligned reads in the proportion of single aligned reads in each respective region. I find it effective, unfortunately ERANGE is no longer maintained.

    I thank you in advance for your help.

    Best,
    a.kmg
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    The appropriate tool will depend on how you want the reads counted. featureCounts is one option, though obviously if you're counting over genes and using those integer counts to look at differential expression then this is a bad idea. Other options would be things like eXpress or any other tool meant to generate expected counts using a expectation maximization method. This will yield fractional counts, which is appropriate for multimapped reads.
    Last edited by dpryan; 01-27-2015, 02:08 AM.

    Comment

    • a.kmg
      Member
      • Aug 2014
      • 15

      #3
      Thank you dpryan.

      I currently testing Rcount, a new tool where alignments of multireads are weighted based on the number of uniquely aligned reads in the neighborhood.

      And I tested featureCount, that actually allows me to treat multiple aligned reads, but the fact of counting the reads for each chromosomal locations on which it aligns leads to a biais, right?

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        Originally posted by a.kmg View Post
        And I tested featureCount, that actually allows me to treat multiple aligned reads, but the fact of counting the reads for each chromosomal locations on which it aligns leads to a biais, right?
        Not really. The reads arose from the neighboring reads, so the counting would accurately represent the biological reality.

        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, 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...