Dana Farber Data Science | Training Sessions

Data Science Training Sessions cover the basics of data science and explore challenges in this growing field. These are hands-on trainings primarily conducted by department faculty and staff.

Training sessions are held either remotely using Zoom or in the Center for Life Sciences (CLSB) Building. Refer to the session details for information.
A limited number of training sessions are posted on our YouTube channel.
Notes from the training sessions are available to department members only. If you are
outside the department and would like notes from a specific training, please contact Anne ONeill.
If you are attending in person:
- Anyone without a DFCI, BWH, BCH, MGB, or Harvard ID must clear security on CLSB 2nd floor.
- Non-DFCI personnel will not have access to CLSB 11th floor. Please follow instructions posted on the doors for entry.
For questions regarding scheduling or attendance of the training sessions, contact Erica Feick.

Training Sessions 2024

To submit an evaluation for any training session you attended, please click here.

January 16	2:30-4pm	Anne O’Neill, INFORM Clinical Trials Database (Introduction to Access and Authorization) INFORM houses data from DFHCC clinical trials which utilize electronic data capture (eDC). A general overview of the INFORM Clinical Trials Database itself from statistical perspective, the set-up needed to access data, and how to obtain authorization to access data itself from the INFORM database itself is reviewed. Documentation for the available programs to interact with and pull data from INFORM database is also provided. This training is relevant to you if are assigned to a clinical trial whose corresponding clinical data are in INFORM and you have not yet verified your access or authorization. Please reach out to Anne ONeill if you have questions about the training or if it would be applicable to the work that you do..	Hybrid, CLSB 11065 Evaluation
January 17	10-12pm	Nikos George, Introduction to Unix and DS-Computing In the first part, we will cover basic Unix commands, how to work with directories and files, how to navigate the Unix filesystem and how to review and change file permissions. In the second part, we will give an overview of our computing systems, and how to work with our High Performance Cluster using slurm.	Hybrid, CLSB 11081 Evaluation
February 21	10-12pm	Robert Shear, R and RStudio Quickstart for Data Science Professionals For Biostatisticians, Computational Biologists and Data Scientists familiar with R who wish to more rapidly improve their R language skills. This workshop, spanning two hours with an additional optional hour for lab and discussion, will delve a step deeper into R’s essential features and functions beyond the introductory level. The session will also address debugging strategies, basic best practices, and valuable tips. Please refer to the syllabus for further information.	Hybrid, CLSB 11081 Evaluation Video
February 28	10-12pm	Jeremy Simon, Introduction to scRNA-seq and Data Preprocessing There are many useful applications of single-cell or single-nucleus RNA-seq technologies to better understand cancer biology. In this introductory workshop, we will discuss some of the advantages of adopting single-cell approaches, frequently utilized technologies/platforms, best practices for experimental design, and provide an overview of algorithms used for data preprocessing. We will then provide an interactive demonstration of single-cell/single-nucleus RNA-seq data preprocessing with alevin-fry, resulting in a counts matrix ready for downstream analysis	Hybrid, CLSB 11081 Evaluation Video
February 29	10:30-12:30pm	Nabihah Tayob, Biomarkers in Cancer Research In this session, we will cover some important foundational topics when studying biomarkers in cancer research including how to evaluate a biomarker, the importance of the clinical context, designing a retrospective biomarker evaluation study and a discussion of biomarker-driven clinical trial design.	Hybrid, CLSB 11081 Evaluation Video
March 6	10-12pm	Giovanni Parmigiani, Basics of Replicability In this session, we will discuss the data emerging from the “manyLabs” study of replicability of cancer biology investigations, and review remedies and good statistical practices to prevent lapses of replicability. We will revisit Simpson’s paradox, Batch effects, Shrinkage and p-hacking from a replicability perspective. You will not necessarily learn new techniques but hopefully you will learn to be on the alert for pitfalls that can do a lot of damage to the quality of your work.	Hybrid, CLSB 11081 Evaluation
March 13	10-12pm	Yujie Guo, Introduction to scRNA-seq Data Analysis and Interpretation Using Seurat Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. It has been widely used in both dry lab and wet lab settings for its robustness and scalability. In this coding workshop, we will demonstrate the workflow of Seurat, use published matched tumor-normal data, and have hands-on experience of analyzing and interpreting such information.	Hybrid, CLSB 11081 Evaluation Video
March 20	10-12pm	Sandra Lee, Phase II Trial Designs We will review general study considerations for phase II trials and evaluate the study designs. Examples from phase II trials of ECOG-ACRIN studies will be presented and discussed.	Hybrid, CLSB 11081 Evaluation
March 27	10-12pm	Erica Holdridge, Statistics for Computational Biology Projects Statistics is an important tool for computational biologists because it helps us quantitatively understand and analyze biological data. This interactive training session will cover an introduction to statistical concepts. Topics will include: experimental design, data cleaning, common analysis methods (logistic regression, ANOVA, multiple comparisons), and interpreting results.	Virtual (option of watch party) Evaluation Video
April 3	10:30-12pm	Anne O’Neill, Introduction to Clinical Trials – General Overview The following topics are reviewed (but not limited to): various types of clinical trials, various phases of clinical trials, how are clinical trials funded, the clinical trials development process, ‘positive’ and ‘negative’ clinical trials, what types of trials are most common, roles of the different divisions within Data Science in clinical trials and related cancer projects, databases for clinical trials data, collaborations with other departments in and outside of DFCI in relation to the clinical trials and related cancer projects.	Hybrid, CLSB 11081 Evaluation
April 10	10-12pm	Selvi Guharaj, DFCI – Data Science Centralized Data Access and Sharing The session topics include: Overview of the DFCI – Data Science (DS) Data Catalog (i.e. genomic/bioinformatics annotation databases that are downloaded and organized (i.e. GDC, GTEx, AnVIL/Terra, GEO, HCA, HTAN, NCBI, IGSR, dbGaP, 10x, GENCODE, ENSEMBL and such). Forms and procedures to request access to in-house open-/controlled-access datasets under our DFCI – DS systems and to download of new open-/controlled-access datasets under DFCI – DS centralized directories or individual lab file shares Forms and procedures on controlled-access data access: sharing of primary data files and sharing of genomic summary data files	Hybrid, CLSB 11081 Evaluation
April 17	10-12pm	Mark Soliman, Intro to Git and Github We’ll go over the motivation behind version control systems (like Git) as well as some basic commands. We’ll also go over using GitHub as a repository.	Virtual Evaluation
April 24	10-12pm	Shawn Mims and Love Nickerson, Research Administration and You How research administrators support you in your research. Presenters will discuss the nuts and bolts of grants, compliance, and beyond. This is intended for all who collaborate: faculty, post docs, statisticians, and computational biologists.	Hybrid, CLSB 11081 Registration
May 22	10-12pm	Jared Brown, Deeper Differential Expression Analysis with Shrinkage Correction Differential expression (alternately abundance) analysis is regularly a core tool in identifying and quantifying differences between and across groups in -omics data. In this workshop session with follow-along analysis scripts we will take a deeper look at the models underlying differential expression analysis with the particular example being the DESeq2 framework. We will examine questions around design specification, the proper use of pre-computed offsets like normalization corrections, parameter estimation and testing, and robust false discovery rate correction through post-hoc shrinkage. Examples highlighting how these approaches differ across datasets will be drawn from bulk RNAseq, single-cell RNAseq, and ChIPseq.	Hybrid, CLSB 11081 Registration

2023

Training Sessions 2023

January 11	10-12pm	Rafael Irizarry, Introduction to ggplot	In-person only, CLSB 11081
January 18	10-12pm	Rafael Irizarry, Introduction to dplyr	Hybrid, CLSB 11065
March 1	10-12pm	James Lindsay, Introduction to Python Click to Join Add to calendar	Hybrid, CLSB 11081
March 15	10-12pm	Rafael Irizarry, Jenna Landry, Document preparation with R markdown, Quarto and knitr Click to Join Add to calendar	Hybrid, CLSB 11081
March 22	10-12pm	Sandra Lee, Introduction to Phase II Clinical Trial Design Click to Join Add to Google calendar	Virtual only
April 5	10-12pm	R, Sharing Suggestions and Pointers This will be a group-led interactive session where people share tips and suggestions about packages in R that they use. Anyone is welcome to share and/or listen and learn (including sharing something from a platform other than R if time allows.) Click to Join Add to Google Calendar	Virtual only
May 17, 24, 31	12-2pm	Haesook Kim, Survival Analysis and Competing Risks Data Analysis Click to Join Add to Google Calendar	Hybrid, CLSB 11081 Lunch included with this session.
June 14	10-12pm	Susanna Jacobus, Yinglu Zhou, Zihe Song, Introduction to ct.gov Click to Join Add to Google Calendar	Hybrid, CLSB 11081
June 23 (Friday)	10-12pm	Hajime Uno, Mixed Models Click to Join Add to Google Calendar	Virtual only
June 28	12-2pm	Haesook Kim, Competing Risks Data Analysis Click to Join	Hybrid, CLSB 11081 Lunch included with this session.

Training Materials

Materials are available in the DS Training Sessions Shared Google Drive (only accessible by Data Science employees)
A limited number of training sessions are posted on our YouTube channel.
Email Anne ONeill if you would like to request materials from a training session.