W9: Intro to Python
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.
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 […]
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 […]
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 […]
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 […]
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 […]
TITLE: "human microbiome variation across ethnicity and race” Hosted by Nandita Garud for Genetics & Genomics
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 […]
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 […]
TITLE: "Algorithms or experiments? How to improve transcriptome analysis” Hosted Jingyi Jessica Li for Bioinformatics
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 […]
Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring […]