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  • dan
    replied
    Fabulous! Please link to the datasets, and I'll try to put wheels in motion via the wiki :-)

    Leave a comment:


  • adaptivegenome
    replied
    There is and we have these datasets already. I would be happy to share. We did a number of tests with this dataset for a manuscript we are sending out.

    Leave a comment:


  • dan
    replied
    Simulated reads from real genomes.

    We could simulate a range of 'noise' across a series of error models and produce reads characteristic of a variety of technologies... there must be software to do this already right?

    Leave a comment:


  • adaptivegenome
    replied
    Are you talking about simulated or real?

    Leave a comment:


  • dan
    replied
    Should we generate data so we have a 'gold standard'? Or just work with metrics based on consistency, speed, and coverage?

    Leave a comment:


  • bacdirector
    replied
    I'd recommend using % reads mapped and the # of reads mapped uniquely as part of the evaluation, and keep in mind that the # of known heterozygotes is a measure of sensitivity, NOT accuracy. My two cents.

    Leave a comment:


  • dan
    replied
    Cool! It shouldn't be too hard either, but we need to have clear guidelines about what to measure and how, so that results are comparable across mappers. The only other thing we need is a dataset and a place to host it...

    Leave a comment:


  • adaptivegenome
    replied
    Originally posted by dan View Post
    I was thinking to organize a 'mapathon' on the wiki.... how would you recommend benchmarking accuracy?
    That would be AWESOME! I think we should query SEQanswers folks and vote on a number of metrics... this would be fun group project...

    Leave a comment:


  • dan
    replied
    I was thinking to organize a 'mapathon' on the wiki.... how would you recommend benchmarking accuracy?

    Leave a comment:


  • adaptivegenome
    replied
    A comparison of accuracy would have been nice...

    Leave a comment:


  • dan
    started a topic HTS Mappers!

    HTS Mappers!

    Anyone vounteer to update the wiki ;-)




    Motivation: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of the generated reads to a reference sequence. To accomplish this task numerous software tools have been proposed. Determining the mappers that are most suitable for a specific application is not trivial.

    Results: This survey focuses on classifying mappers through a wide number of characteristics. The goal is to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem.

    Availability: A regularly updated compendium of mappers can be found at http://wwwdev.ebi.ac.uk/fg/hts_mappe...g/hts_mappers/.

    Contact: [email protected]

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  • seqadmin
    Recent Advances in Sequencing Technologies
    by seqadmin



    Innovations in next-generation sequencing technologies and techniques are driving more precise and comprehensive exploration of complex biological systems. Current advancements include improved accessibility for long-read sequencing and significant progress in single-cell and 3D genomics. This article explores some of the most impactful developments in the field over the past year.

    Long-Read Sequencing
    Long-read sequencing has seen remarkable advancements,...
    12-02-2024, 01:49 PM

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