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.

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 course is a pre-requisite for several other Collaboratory workshops. This workshop is geared towards researchers who have little or no experience with R who want to get started with importing data into R…

This workshop will cover the basic principles involved in the applications mentioned above, such as pattern recognition, linear and non-linear regression and cluster analysis. The workshop will be oriented towards hands-on activities, starting from the basics of how to load and prepare biological datasets in a Python environment.

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…

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…

High-throughput sequencing technology involves a number of concepts and techniques that shape a project before application-specific processes are utilized. First, this workshop introduces the more “universal” aspects of high-throughput sequence analysis—from experimental design to sequencing and alignment methods. Next, this workshop covers common file formats for sequence data and limitations of sequencing technologies. We will explore a hands-on exercise using the Hoffman2 cluster and will use programs designed to analyze read data, clean artifact and low-quality sequences, and align short…