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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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  • 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.
    07-01-2026, 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

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