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Accelerating bioinformatic learning The University of Toronto worked with Coursera to deliver two massive, open, online courses (https:// www.coursera.org/learn/bioinformatics-methods-1 and https://www.coursera.org/learn/bioinformatics- methods-2) to teach students bioinformatic methods, in order to better understand biology. One area in this field that is important is understanding when and where genes are active, based on "RNA-seq" data. Students explore this aspect in the 5th week of the second course. Challenge Analyzing RNA-seq data can be done with Bioconductor, and in the first iteration of the course, the instructor, Nicholas Provart, had the students install R and Bioconductor on their own computers. This proved to be a stumbling point because of the many dierent operating systems and dependencies between dierent packages on dierent platforms. Solution RStudio Server Pro oered a great solution. By being able to set up a web-accessible instance of Bioconductor running on RStudio on Amazon Web Services, students could proceed to learn the methods for analyzing RNA-seq data instead of spending time futzing with installation issues. “We used an AWS c4.large VM as in the schematic below to run up to 16 RStudio Server Pro instances, depending on the load. A php-based LDAP server was used to handle the authentication for student logins.” Why RStudio Server Pro? RStudio Server Pro oered the ability to have multiple users connect to the Bioconductor environment, each with his/her own workspace where work can be maintained from session to session, and pre-existing data folders can be shared with users. Open source & enterprise-ready professional soware for R

Accelerating bioinformatic learning - RStudio€¦ · administration headaches with University of Toronto computer labs were also alleviated. The Univeristy of Toronto is excited

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Page 1: Accelerating bioinformatic learning - RStudio€¦ · administration headaches with University of Toronto computer labs were also alleviated. The Univeristy of Toronto is excited

Accelerating bioinformatic learning

The University of Toronto worked with Coursera to

deliver two massive, open, online courses (https://

www.coursera.org/learn/bioinformatics-methods-1

and https://www.coursera.org/learn/bioinformatics-

methods-2) to teach students bioinformatic

methods, in order to better understand biology. One

area in this field that is important is

understanding when and where genes

are active, based on "RNA-seq" data.

Students explore this aspect in the 5th week

of the second course.

Challenge

Analyzing RNA-seq data can be done with

Bioconductor, and in the first iteration of the course,

the instructor, Nicholas Provart, had the students

install R and Bioconductor on their own computers.

This proved to be a stumbling point because of the

many different operating systems and dependencies

between different packages on different platforms.

Solution

RStudio Server Pro offered a great solution. By being

able to set up a web-accessible instance of

Bioconductor running on RStudio on Amazon Web

Services, students could proceed to learn the

methods for analyzing RNA-seq data instead of

spending time futzing with installation issues. “We

used an AWS c4.large VM as in the schematic below

to run up to 16 RStudio Server Pro instances,

depending on the load.

A php-based LDAP server was used to handle the

authentication for student logins.”

Why RStudio Server Pro?

RStudio Server Pro offered the ability to have

multiple users connect to the Bioconductor

environment, each with his/her own workspace

where work can be maintained from session to

session, and pre-existing data folders can be shared

with users.

Open source & enterprise-ready professional software for R

Page 2: Accelerating bioinformatic learning - RStudio€¦ · administration headaches with University of Toronto computer labs were also alleviated. The Univeristy of Toronto is excited

The Payoff

Far fewer complaints on the Discussion Forums

associated with the RNA-Seq lab and happier

students! Professor Provart is also using the online

course material to teach his University of Toronto

class, on which these courses were based. By

moving the Bioconductor component to the "cloud"

a n d u s i n g R S t u d i o S e r v e r P r o , s y s t e m s

administration headaches with University of Toronto

computer labs were also alleviated. The Univeristy of

Toronto is excited to be teaching so many students

and educating future bioinformatic professionals on

state-of-the-art analytics: 34,000 students have

enrolled in the 2nd course so far!

About RStudio

RStudio provides open source and enterprise-ready

professional software for the R community. We are

inspired by the people who use our products to

understand and improve the world through data

analysis.

RStudio® and Shiny™ are trademarks of RStudio, Inc. All rights reserved rstudio.com 844-448-1212 [email protected]

“RStudio Server Pro gave us the ability to have multiple users at once logged into Bioconductor, each with his/her own workspace. Much easier to manage the complete system and user experience.”

Nicholas Provart - Professor, Plant Cyberinfrastructure & Systems Biology