Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • RamP
    Junior Member
    • Feb 2013
    • 3

    Aligner for PacBio RNASeq

    I am wondering if I can use BLASR for aligning RNASeq reads from Human cell lines. I am interested in identifying the splice sites. I read this paper "Evaluation of tools for long read RNA-seq splice-aware alignment" (Bioinformatics, 2018) where different splice aware tools were compared and concluded GMAP to be the best among the compared ones. However, they didn't include BLASR in their evaluation. Could the reason be that BLASR is suitable only for genomic read alignments? Thanks.
  • Magdoll
    Member
    • Aug 2011
    • 30

    #2
    You cannot use BLASR. You can use minimap2, GMAP, STAR, etc.
    A tutorial for these aligners for PacBio RNA (Iso-Seq) data is available here:
    Miscellaneous collection of Python and R scripts for processing Iso-Seq data - Magdoll/cDNA_Cupcake

    Comment

    • RamP
      Junior Member
      • Feb 2013
      • 3

      #3
      Originally posted by Magdoll View Post
      You cannot use BLASR.
      Thanks for your response and the link. What could be the reason for BLASR being not a suitable aligner? I mean, it works like BLAST finding local alignments after incorporating the PacBio error model and that should be good enough to align exon regions on the genome. What am I missing here? Thanks.

      Comment

      • Magdoll
        Member
        • Aug 2011
        • 30

        #4
        BLASR is not splice aware - it cannot map exon-exons. Newer aligners like minimap2 are well equipped to handle errors for PacBio data. For most PacBio RNA-seq (what we call Iso-Seq) data, the error rate would be very low anyway.

        In more practical terms, BLASR is getting phased out. We encourage users to switch to newer aligners like minimap2 that are being actively maintained and developed.

        Comment

        • RamP
          Junior Member
          • Feb 2013
          • 3

          #5
          Thanks for taking time explaining this. One last thing.
          Would Minimap2 be effective enough aligning to non-canonical coding regions, for example, fusion transcripts?
          Perhaps, I should give it a try myself, but thought I would ask anyway.
          Thanks again.
          Last edited by RamP; 02-05-2019, 01:03 AM.

          Comment

          • Magdoll
            Member
            • Aug 2011
            • 30

            #6
            Yes both GMAP and minimap2 could work for fusion detection.

            In GMAP it would be using the `-n 0` parameter which says "only output a single alignment *unless* the best alignment is chimeric" which essentially screens for fusion transcripts when you look for sequences with 2+ alignment results.

            In minimap2 I think it's `--secondary=no`, though admittedly I have tested it less.

            I have a follow up script that processes the SAM files to look for fusion: https://github.com/Magdoll/cDNA_Cupc...ng-step#fusion

            If you have problems using the scripts above, please file through GitHub Issues.

            Comment

            Latest Articles

            Collapse

            • SEQadmin2
              From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
              by SEQadmin2


              Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


              The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
              ...
              06-02-2026, 10:05 AM
            • SEQadmin2
              Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
              by SEQadmin2


              With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


              Introduction

              Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
              05-22-2026, 06:42 AM
            • SEQadmin2
              Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
              by SEQadmin2

              Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


              Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
              05-06-2026, 09:04 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, Yesterday, 08:59 AM
            0 responses
            13 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 06-02-2026, 12:03 PM
            0 responses
            21 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 06-02-2026, 11:40 AM
            0 responses
            18 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 05-28-2026, 11:40 AM
            0 responses
            31 views
            0 reactions
            Last Post SEQadmin2  
            Working...