GIGA-sponsored Bioinformatics Workshops on Galaxy and Metagenomics
We are offering two hands on workshops to be held on Monday Feb 20, preceding the Global Biodiversity Genomics Conference to be held in Washington, D.C. February 21-23, 2017 at the Smithsonian’s National Museum of Natural History (http://biogenomics2017.org). The workshops will be A. Introduction to Genomic Data Analysis with Galaxy, and B. Introduction to Metagenomic Data Analysis and Microbiome Characterization. Cost for both workshops is $40.00 and includes instruction, refreshments, coffee. Limited to 40 participants.
The workshops will be hands-on. Please bring a wi-fi enabled laptop with either Chrome or Firefox installed on it.
A. Introduction to Genomic Data Analysis with Galaxy
The Galaxy workshop will will introduce genomic data analysis with a differential expression example, using RNA-Seq data and the Galaxy Platform. The will provide participants with a basic understanding of
- Commonly used genomics data formats
- Next generation sequencing quality issues and control
- Concepts and tools for RNA-Seq and differential expression analysis
- How to use Galaxy to create, run, share, publish, and reproduce your data analyses
Galaxy enables bench scientists to create and experiment with sophisticated and reproducible data analysis. Galaxy is an open-source, web-based data integration and analysis platform for life science research (http://galaxyproject.org), with over 90 publicly accessible Galaxy servers. The workshop will provide a brief overview of the Galaxy Project, and several ways in which the Galaxy platform is available to researchers.
If you are new to high-throughput sequencing data analysis, or if you are trying to find a better way to manage and perform your analyses, then this workshop will be of interest to you.
Instructor : James Taylor (Johns Hopkins University)
B. Introduction to Metagenomic Data Analysis and Microbiome Characterization
This workshop will introduce participants to metagenomic data analysis and microbiome characterization and hypothesis testing using the PathoSuite analysis platform. We will extend participants’ basic understanding of and interactions with commonly used genomics/NGS data formats; tools for quality control, quality assurance for metagenomic data; all in the context of:
- PathScope software for pathogen detection and microbiome quantification
- PathoStat software for microbiome diversity calculations and hypothesis testing
- RStudio + bioconductor for implementation of PathoStat & BatchQ
This workshop is particularly targeted for researchers looking for some experience with metagenomic analysis for microbiome studies - both RNA-Seq and DNA metagenomic (shotgun) sequence data. It is highly complimentary to the Galaxy workshop that is also part of this meeting.
Instructors : Evan Johnson (Boston University), Matthew Bendall, Keith Crandall (GWU)
What's the refund policy?
Full refund provided minus any processing fees.
Contact Joe Lopez, firstname.lastname@example.org, with further questions.