The workshop will mainly focus on teaching the fundamentals of bacterial genomics and basic bioinformatics analysis. As a sample data Vibrio cholerae genome will be used as the practice dataset, and workshop participants will try to reproduce the expected results. The workshop will start with detailed instructions on how to quality control the raw sequence […]
The workshop introduces Cytoscape (https://cytoscape.org/) – an open source platform for retrieval and visualization of complex biological interactions that are available from public interaction resources: The IMEx Consortium (https://www.imexconsortium.org/), STRING (https://string-db.org/) and BioGIRD (https://thebiogrid.org/). It covers querying for interactions data using built-in search interface, interaction data cleanup and visualization as well as overlying of the […]
Galaxy (https://usegalaxy.org/) is a web-based infrastructure for bioinformatics application. First, this workshop introduces participants to using Galaxy for analysis of Next-Generation Sequencing data. Next, this workshop covers the structure of Galaxy, data format and manipulation, obtaining and sharing data, and building and sharing workflows. We will use the tools installed on the UCLA galaxy to […]
This workshop will introduce the basic principles of DNA methylation and briefly describe available methods for DNA methylation assessment, focusing on bisulfite sequencing (BS-Seq). We will cover the principles of BSseq preprocessing, alignment and methylation calling, differential methylation analysis, annotation and visualization. Attendees will have the opportunity to work on real DNA methylation data provided […]
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. Highly encourage: Students should working knowledge of python scripting.
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 […]
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.
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be a unique analysis challenge, and packages may not always work out-of-the-box. In this workshop, we will explore some popular computational tools to extract quantitative information […]
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 […]