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  • bryanbriney
    replied
    We're not doing any sort of analysis that involves alignment to a reference, but data quality from our PE150 NextSeq runs has been essentially identical to PE150 Rapid Runs on HiSeq.

    Leave a comment:


  • GenoMax
    replied
    Can someone here comment on the actual alignability/usability of the resulting data?

    Leave a comment:


  • bryanbriney
    replied
    We've had much the same experience as williamhorne. High Output produced roughly 500M reads, total output from a PE150 run was just shy of 150GB. We clustered at the high end of the recommended range, but still had about 80% Q30.

    We've used the NextSeq with BaseSpace and it has some quirks. Run setup and sample entry is awkward if you have more than a handful of samples, although there's an option to upload an Excel file with sample info that we haven't tried yet. Never thought I'd say it, but the new run setup makes me miss Sample Sheets. On the other hand, once the run was going, BaseSpace works wonderfully.

    As of right now, the NextSeq doesn't support dual indexes or custom indexes. Dual indexing is reportedly in the pipeline, not sure about custom indexes. Also, you can't start a run that exceeds the stated capacity of the reagent kit. MiSeq throws an error if you try, but it can be bypassed; NextSeq won't let you continue.

    Overall, we're very happy. If read lengths get a little longer (come on, PE250!) and the BaseSpace quirks are fixed, the NextSeq will be darn close to perfect.
    Last edited by bryanbriney; 05-13-2014, 12:40 PM.

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  • williamhorne
    replied
    Using High output we are actually getting over 500 million reads per run. Unlike our GAII, and HighSeq, we actually have to pay very close attention to cluster density. The target cluster density for high quality samples is 1.75pM-2pM. Anything above and below will results in under/over clustering. So your samples need to be very exact with concentration.

    These are solely made to be streamlined with the BaseSpace. Right now it only works with BaseSpace onsite, not in the cloud as they are having some majority broker issues that still are not resolved. Make sure you do your research in regards to output files and data in regards to basespace because it is not a visual machine. It gives you the output files and you must use 3rd party software on a different computer to view the results. Very annoying.

    Overall very impressed with the NextSeq's, not so much BaseSapce.

    Leave a comment:


  • AllSeq
    replied
    We'd love to hear how it's working for you - actual outputs, how the data looks compared with previous Illumina machines. Basically anything you're willing to share! I'm sure lots of people are interested.

    Leave a comment:


  • williamhorne
    replied
    I bought the first two that were sold by Illumina including Basespace onsite. If interested in details let me know!

    Leave a comment:


  • AllSeq
    started a topic A first look at Illumina’s new NextSeq 500

    A first look at Illumina’s new NextSeq 500

    AllSeq was recently at Illumina HQ to get a sneak peek at their new NextSeq 500. We’ve already listed all of the specs and given our opinion on how we think this new platform fits into Illumina’s lineup and the broader market, but this was our first chance to see it in action. Check out our blog to see how it’s at once both tiny and huge.

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  • seqadmin
    Essential Discoveries and Tools in Epitranscriptomics
    by seqadmin




    The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
    04-22-2024, 07:01 AM
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

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