This workshop aims to provide skills needed to address principles of the assay, quality assessment, sequencing depth, data processing and functional downstream analyses of ChIP-seq datasets. Students will have opportunities to practice hands-on with state-of-the-art analytical tools.
TITLE: TBD Hosted by Noah Naitlen for Genetics & Genomics
Learn how to make your applications ready for production and distribution. This workshop will give you your introduction to setting up version control and containerization for your applications to ensure that changes are tracked and dependencies are documented and automatically installed. Git and Docker allow developers and users to quickly replicate code and computing environments […]
TITLE: TBD Hosted by Sriram Sankararaman for Bioinformatics
TITLE: TBD Hosted by Brunilda Balliu for Genetics & Genomics
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, […]
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.
