Hi all,
I work at Wolfram Research and recently I've been asked to highlight and pull in one place all the functionality in our software that might be useful to bioscientists. We are mainly focusing on general data science, bioinformatics, analysis, presentation, i.e. things that bio people would mainly use R and Python libraries for.
Part of the motivation for this is that many universities have a full site-wide license for our software, which makes it available to all departments at no cost, but historically we have had very little exposure to fields like biosciences.
I am looking for some general feedback on https://www.wolfram.com/biosciences/ which aims to summarize how Wolfram tech can help bio research and teaching. Does the website include, at a glance, the main things you'd be interested in an R/Python alternative? Is there anything missing that you would find especially convincing? Are there any points that fall flat?
This post contains some more extended examples: https://community.wolfram.com/groups/-/m/t/3394441 which hopefully show how combining the different parts of the Wolfram computational platform can be used to solve real problems.
And a flashier example: https://community.wolfram.com/groups/-/m/t/3411092 :)
Is there a publicly available list that you could link, so people can find out if their institution has a license. A lot of times this information is hard to come by within institutions.
We don't have a public list but we have an easy way to check if your institution has one: https://www.wolfram.com/siteinfo/ with your academic/institution email.