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  • najoshi
    Member
    • Feb 2010
    • 20

    Virtual Workshop: Introduction to Python for Bioinformatics

    Introduction to Python for Bioinformatics
    Feb. 28, 2022, 2 p.m. - March 4, 2022, 5 p.m. PST
    Organizer - UC Davis Bioinformatics Core
    Contact - [email protected]
    Location - Virtual Workshop

    Get off to a good start in bioinformatics with this five-part online workshop in Introduction to Python. This workshop lays the foundation for successful bioinformatics experiments, including RNA-Seq, single cell RNA-Seq, epigenetics and more.

    This workshop consists of five half-day sessions, combining lecture and exercises to teach you the basics of programming (using python), with an emphasis on bioinformatics. Completion of this material will allow participants to get the most out of our other experiment-centric workshops. No previous python experience is necessary.

    The registration fee is $300 for current students, postdocs, staff and faculty at Univeristy of California campus' or UC National Labs (LBNL, LANL, LLNL), $450 for other academic or non-profit participants and $600 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.

    Introduction to Python for Bioinformatics is scheduled from 2:00 pm - 5:00 pm on February 28th to March 4th.

    Registration closes on: Feb. 27, 2022

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  • SEQadmin2
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    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.

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  • SEQadmin2
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    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.
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    06-02-2026, 10:05 AM

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