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  • najoshi
    Member
    • Feb 2010
    • 20

    Register now for online PacBio Iso-Seq workshop next week

    The UC Davis Bioinformatics Core is pleased to announce that we will be continuing our remote workshops this fall, after a successful summer of seven multi-day courses!
    We’re also glad to be adding bundle pricing options for labs sending multiple registrants:

    15% off registration for groups of 3-5
    25% off registration for groups of 6-10
    custom instructional packages for groups larger than 10

    If you are interested in one of these pricing options, please contact us at [email protected] for a custom coupon code.


    PacBio Iso-Seq Workshop Online
    September 30 - October 2

    The Bioinformatics Core is excited to announce a three day workshop on Iso-Seq in partnership with PacBio! With instruction from experienced Core personnel and Iso-Seq analysis experts Dr. Liz Tseng, Principal Scientist at PacBio, and Dr. Ana Conesa, Professor at the University of Florida, this short course will provide a mixture of lectures and hands-on analysis to give participants an overview of the possibilities represented by full length transcript isoform sequencing with Iso-Seq.

    Participants will explore experimental design, cost estimation, data generation, and analysis, following Iso-Seq experiments from end to end and learning about several applications of this high quality full length RNA sequence data. Exercises will be performed with provided datasets, using command-line interaction on the Genome Center Compute Cluster.

    There are no prerequisites other than basic familiarity with genomic concepts. Some familiarity with the command-line and R is helpful. However, we will dedicate time on the first day to bringing everyone up-to-speed to be able to run the commands needed during this workshop.



    Bioinformatics: Command Line/R Prerequisites Online
    October 5 - October 8

    Ideal for biologists preparing to launch into bioinformatics, or those looking to better understand analyses run by collaborators and core specialists, this workshop will cover the basic computational and statistical concepts needed before performing bioinformatics analysis, including:

    Access to a multi-core Linux server
    Familiarity with the command line
    Basic knowledge of how to install software
    Basic knowledge of R and statistical programming
    Basic knowledge of Statistics and model building

    The course will explore the fundamentals of successful, repeatable bioinformatics analysis: experimental data organization, basic command line and high performance computing concepts, simple software installations, using help, running applications, building basic pipelines, introduction to R programming, working with data tables and generating figures, basic statistical concepts, and statistical model building. There are no prerequisites for this workshop other than an interest in bioinformatics!

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  • 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.
    Today, 11:43 AM
  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM
  • 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

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