This workshop will cover some more advanced topics in python including an overview of object-oriented python (this will not be an in-depth course on object-oriented programming), use of the numpy and pandas libraries (python libraries for efficient handling of large numeric and heterogenous datasets, and matplotlib for plotting results. At the end of this workshop, students will better understand the python data structures for handling large datasets and will have some knowledge of how to manipulate these data and plot…

This workshop will cover the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. Different Library Preparation Techniques (DNA-seq, ChIP-seq, RNA-seq, Methyl-seq) are explained the first and second day in class. The third day, Quality Control steps of the starting input material and final libraries are performed in the Lab (TapeStation). Purification from Primer Dimers (using AMPure beads) and Library Submission is also performed on the same day. The third day is optional, sign-up is required.

MATLAB is a powerful, high-level programing language for numerical computation, visualization, and application development. This workshop will start by introducing the MATLAB environment and then cover working with arrays and matrices, loops and conditional statements, writing your own functions, working with files and visualizing your data. The final day will briefly introduce utilizing MATLAB to solve differential equations and the basics of computational systems biology modeling using MATLAB. The course is supplemented with many hands-on exercises. The workshop is suitable…

R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We will conduct hands-on tutorials throughout the session, giving attendees a chance to see R in action. This workshop is geared toward those with little or no prior experience with R. Next, this workshop covers an introduction to Bioconductor (www.bioconductor.org), which provides tools for the analysis of high throughput genomic data.…

Through this seminar, attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. These tests and the underlying bioinformatical lesson about resampling will be of use to most scientific disciplines. The course makes no assumptions about familiarity with traditional statistics – we will simply go through relatable experimental examples and ask how to test various hypotheses, introducing the relevant methods along the way. There will be homework assignments each night to solidify the concepts…

The workshop will cover experimental approaches to protein interaction determination; processing and presentation of interaction data available from online resources, and the role of interaction data in the interpretation of large scale datasets.

Imaging datasets are becoming easier to acquire and more difficult to analyze. This workshop will provide an introduction to some of the computational tools available for manipulating images and extracting quantitative information from them. The main focus of this workshop will be on cellular imaging however much of the techniques are broadly applicable to other data types. We will cover image conversion and handling in python, different methods for normalizing, aligning and segmenting images and finally work on applying these…

This workshop aims to provide skills needed to address experimental reproducibility, sequencing depth, data reporting and quality assessment of ChIP-seq data. Students will have opportunities to practice hands-on with state-of-the-art analytical tools.