Creating a Bioconductor Package - Part 2

Infrastructure isn't fun, isn't pretty, and isn't nearly respected as much as it should be. Bioconductor packages require a bit of added rigor compared to standard R packages, but the results are more stable, more extendable, and more trusted as a result. In the previous meetup on Nov 20th (https://www.meetup.com/Boston-R-Bioconductor-for-genomics/events/254563803/) we reviewed how to prepare an R package. In this meetup we will review the additional steps required to submit a package to Bioconductor.

Code/Notes from the Nov 20th meetup are available at https://github.com/shwetagopaul92/biocmeetup

Speakers/Tutors

BJ Stubbs
BJ Stubbs is an IS Project Manager at the Channing Division of Network Medicine and occasional adjunct professor of computer science with over 13 years experience as a R programmer. He has worked with the Bioconductor foundation for a number of years and uses Bioconductor tools and workflows with a focus on synthesis, analysis, and sharing of genomic data, with applications to computational genetics of lung disease and clinical trials in asthma and nutrition.

Shweta Gopaulakrishnan
Shweta is a Bioinformatician at Brigham and Women’s Hospital. She received her Master of Science from University of Illinois in Chicago, 2016. She has had the opportunity to work in the genomics software engineering industry through her internship at Seven Bridges, where she worked to optimize customized genomics workflows. Her role at the Channing Division at Network Medicine focuses on developing and using Bioconductor based tools for high performance and cloud based computing of genome-scale analysis in human genomics.

Meena Choi
Meena is an associate research scientist in the lab of Olga Vitek at Northeastern University. She holds a B.S. in Biology from the Korea Advanced Institute for Science and Technology, and a PhD in Statistics from Purdue University. Meena’s work focuses on statistical methods for quantitative proteomics. She is the developer and maintainer of MSstat and MSstatTMT, R packages for statistical relative quantification of proteins and peptides in diverse acquisitions of mass spectrometry-based proteomics

Dr. Kylie Ariel Bemis
Kylie is Future Faculty Fellow, College of Computer and Information Science Northeastern University. She holds a B.S. degree in Statistics and Mathematics, a M.S. degree in Applied Statistics, and a Ph.D. in Statistics from Purdue University. In 2013, she interned at the Canary Center at Stanford for Cancer Early Detection, where she developed the Cardinal software package for statistical analysis of mass spectrometry imaging experiments. In 2015, she was awarded the John M. Chambers Statistical Software Award by the American Statistical Association for her work on Cardinal. In 2016, she joined the Olga Vitek lab for Statistical Methods for Studies of Biomolecular Systems at Northeastern University as a postdoctoral fellow.
https://kuwisdelu.github.io