Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • fhb
    Member
    • Aug 2010
    • 10

    error correction for RNA-seq reads

    Hi everyone,

    can someone share any experience using error correction for RNA-seq reads. I am reluctant to use it since I have not seen any paper using the available tools.

    Thanks,
    Fernando
  • bioinfosm
    Senior Member
    • Jan 2008
    • 483

    #2
    What kind of error correction you are referring to?
    --
    bioinfosm

    Comment

    • fhb
      Member
      • Aug 2010
      • 10

      #3
      wrong nucleotide call from the sequencing machine.

      Comment

      • NicoBxl
        not just another member
        • Aug 2010
        • 264

        #4
        in you're fastq file, you've an information of the quality of the base calling. You can filter the reads with a bad quality with a little perl script per example ( or with R too )

        Comment

        • fhb
          Member
          • Aug 2010
          • 10

          #5
          Originally posted by NicoBxl View Post
          in you're fastq file, you've an information of the quality of the base calling. You can filter the reads with a bad quality with a little perl script per example ( or with R too )
          I am glad you wrote this because that is the approach that I've been taking: filtering reads with overall bad quality and trimming bad quality bases.

          This is the reason I wanted to know if people have done error correction, and if it has improved their percentage or aligned reads better then trimming nucleotides on the basis of the quality of the call.

          thanks very much,
          Fernando

          Comment

          • NicoBxl
            not just another member
            • Aug 2010
            • 264

            #6
            here's a an example of workflow to trim bad quality tails with R

            Comment

            • bioinfosm
              Senior Member
              • Jan 2008
              • 483

              #7
              thats an awesome collection from UCR!
              --
              bioinfosm

              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.
                ...
                Today, 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...
                Yesterday, 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, Today, 10:04 AM
              0 responses
              8 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, Yesterday, 10:08 AM
              0 responses
              6 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-07-2026, 11:05 AM
              0 responses
              9 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-02-2026, 11:08 AM
              0 responses
              31 views
              0 reactions
              Last Post SEQadmin2  
              Working...