High-throughput sequencing technologies have allowed researchers to extract DNA at the individual, population, and species levels. In this workshop, students will learn how to analyze and interpret population-level genetic information with PLINK and R. Students will also be exposed to the literature on the different topics, followed by hands-on exercises and paper discussion.
This workshop will cover the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.
Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First, this workshop introduces the basic concepts of UNIX operating system and shell scripting. We will explore essential hands-on skills to confidently use the command line interface on either a local (laptop) or a remote (hoffman2 cluster) […]
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 […]
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, […]
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 […]
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.
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 […]
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 […]
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 […]
