There are several research groups that perform computations on the UB CCR cluster using the R statistical package. These groups are noted below along with relevant contact information. Please contact Shawn Matott (LSMatott@buffalo.edu) If you would like your group to be listed as well.



Social Group for UB & RPCI R Users 

Members of the Bioconductor Core Team have started a recurring R social hour for R users to meet and converse in an informal setting. Some meetings are completely informal while others may include a few short (5-10 min) lightning talks on topics of interest. To join the group, please take a moment to sign up for meetups at https://www.meetup.com/.  It is free to join and only takes a minute to set up a profile. Then join the Buffalo R / Bioconductor Meetup at https://www.meetup.com/Buffalo-R-Bioconductor-Meetup/.  Events and RSVPs will be tracked through this meetup site. It is also a great utility that can link you with other R programmers in the area, where you can post discussions about specific areas of research, etc. Use of the discussions page is strongly encouraged! Meetups can send a fair amount of emails by default but this is easy to change. Go to your individual account settings (by clicking on your icon in the far upper right corner) and go to email updates to review and adjust your preferences.


Please contact Lori Shepherd or Shruti Shah for more information:


Lori Shepherd (Lori.Shepherd@RoswellPark.org)  ;  Shruti Shah (Shruti.Shah@RoswellPark.org)

Department of Biostatistics & Bioinformatics

Elm & Carlton Streets

Buffalo, New York 14263


Bioconductor Core Team

Bioconductor is a collection of R packages to support the analysis of high-throughput genomic data in cancer and other biological domains. The Bioconductor project is now based at the Roswell Park Cancer Institute in Buffalo, NY.


Martin Morgan (Martin.Morgan@RoswellPark.org) 

Department of Biostatistics & Bioinformatics

Elm & Carlton Streets

Buffalo, New York 14263


Biostatistics / School of Public Health

Led by Professor Daniel Gaile, this group pursues the following research interests using R: biomarker identification, aray comparative genomic hybridization (aCGH) analysis, expression analysis via array, NGS and bead-based technologies, proteomics, normalization methods for data generated by high throughput biotechnologies, non-parametric statistics, bootstrap methods, exact methods, linear combinations of order statistics, sparse matrix approaches, finite mixture models, statistical computing, and software development.


Daniel Gaile (dpgaile@buffalo.edu)

718 Kimball Tower

Buffalo, NY 14214

Phone: 716-829-2756


Pharmacology / Pharmaceutical Sciences

Students in Dr. Barbara Foster’s lab at the RPCI Molecular Pharmacology Department and Dr. Donald Mager’s lab at the UB Pharmaceutical Sciences Department integrate data from pre-clinical and clinical settings using R and other languages and modelling platforms to help them identify novel molecular targets, support pre-clinical development of novel drugs and identify the pharmacokinetic and pharmacodynamic properties of drugs to optimize their clinical administration. For example, Shruti Shah is working on identifying druggable targets involved in tumor-immune system cross-talk that she hopes can improve response to immune checkpoint inhibitors in a combination setting.For novel target identification she relies on using various Bioconductor packages like edgeR, seqGSEA,  etc for analysis of RNA-seq data. Shruti's research also makes extensive use of quantitative systems pharmacology (QSP) for dynamic modeling of the disease in the context of therapy, using R packages like mlxR (Simulx), ADAPT modelling platform and Matlab.


Shruti Shah (Shruti.Shah@RoswellPark.org)

RPCI Department of Pharmacology and Therapeutics
Elm & Carlton Street, L4 - 339
Buffalo, NY 14263
Phone: 716-845-1236
School of Pharmacy & Pharmaceutical Sciences
Kapoor Hall, Room 443
Buffalo, NY 14215
Tel: 716-645-4827