R, Data Science, & Computational Biology

We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.

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Featuring:

• Daniel Chen – Website • , GitHub • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

R Conference:

Website • Twitter: @rstatsdcTickets • Discount code PRACTICALAI20 • is good for 20% off every ticket type, including the conference & all workshops

Links relevant to the show:

William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology ProjectsGreg Wilson, et al. 2014: “Best Practices for Scientific Computing”Greg Wilson, et al. 2017: “Good enough practices in scientific computing” • Jenny Bryan’s code smells: link 1 • and link2Jenny Bryan on naming thingsJD Long’s talk at rstudio::conf this year about being empatheticpython’s version of pyprojroot“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules Books

“Pandas for Everyone” by Daniel Chen“Advanced R” by Hadley Wickham Something missing or broken? PRs welcome!