Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Gen2007
    Member
    • Jun 2010
    • 10

    #1

    Novoalign options

    Hello Group,

    I've been trying to find the optimal parameters for aligned bisulfite treated 76bp PE reads to a small reference that includes repeats. I'm confused with the option to set the fragment length and standard deviation. My question is: what exactly does the fragment length refer to? Is it the distance between mapped mates or does it include the reads.

    The library I am using isolated adapter fragments between 250-300bp (minus adapter = 131-181). Given 76 bp reads, some mates could overlap. If the fragment length refers to distance between aligned reads than this value could be negative. Anyone want to clarify?
    Thanks a lot!
  • sparks
    Senior Member
    • Mar 2008
    • 126

    #2
    HI, Just found your post. The fragment length mean and standard deviation are outer coordinates, it doesn't matter if you set them a bit higher than the real values.
    Colin

    Comment

    • Gen2007
      Member
      • Jun 2010
      • 10

      #3
      So by outer coordinates you mean the most distal coordinates of an adapter-ligated molecule, i.e. average length of your library that you would see after PCR amplification on a gel?

      For the library I mentioned, I used 150bp as the mean fragment length since I assumed it was the distance between reads, and the alignment worked pretty well. Is it more computationally strenuous to have a larger fragment length setting?

      Comment

      • sparks
        Senior Member
        • Mar 2008
        • 126

        #4
        It's the length of the DNA fragment as mapped by the aligner and hence doesn't include any adapters. It's not the length of the gap between the two read alignments.
        If your gel includes PCR adapters then you need to adjust for this.

        It doesn't really affect computation as Novoalign adjusts to the fragment lengths it sees, but setting it too short may mean reads don't get paired properly.
        It's not a major issue as range for pairs is from 0 to mean + 6 standard deviations so it's usually enough.
        You can also run Novoalign on a few K reads and check the reported fragment length distribution. Use the -# option to limit the number of reads processed. e.g. -# 2K will map 2000 reads and stop.

        Comment

        • Gen2007
          Member
          • Jun 2010
          • 10

          #5
          Great, that makes a lot of sense. I actually meant "reads" instead of "adapters." Of course in Illumina sequencing the read begins before the adapter since the sequencing primer anneals to the adapter... I'm glad you caught that. I appreciate all the help. Thanks a lot!

          Comment

          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, 07-31-2026, 02:55 AM
          0 responses
          17 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          15 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-23-2026, 11:41 AM
          0 responses
          13 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-20-2026, 11:10 AM
          0 responses
          24 views
          0 reactions
          Last Post SEQadmin2  
          Working...