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.
This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME, including statistical analyses and functional analyses.
This workshop uses materials developed by the Broad Institute to teach Variant Discovery with GATK. Attendees with no prior experience in variant calling are recommended to review all of the materials below before coming to the workshop. This early preparation will allow a focus on the specific issues of running GATK on the UCLA hoffman2 […]
This workshop (UNIX Command Line II) continues Workshop W1: UNIX Command Line I and uses the Hoffman2 campus computing cluster. The focus is on features that make dealing with large files or large numbers of files or repetitive tasks easier. These include shell variables, substitutions, redirections, pipes, loops, conditionals, subshells, shell functions, and shell scripts. […]
Mergeomics is a computational tool designed to elucidate the underlying pathways, networks, and key regulators of complex diseases by integrating multi-omics data (genomics, transcriptomics, epigenomics, proteomics, etc). With use of integrative omics concepts and network modeling methods, this tool can uncover disease-associated gene sets and biological pathways across omics layers and can identify key drivers […]
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, […]
