R, Data Science, & Computational Biology (Practical AI #107)

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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: @rstatsdc
• Tickets
• 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 Projects
• Greg 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 link2
• Jenny Bryan on naming things
• JD Long’s talk at rstudio::conf this year about being empathetic
• python’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!