July 27, 2017 to July 28, 2017

PATRIC Bioinformatics Resource Center Workshop

9:00 am to 4:00 pm

Location

Taubman Health Sciences Library 

Rooms 2901 and 2903

Event Description

WHAT PATRIC OFFERS:

•Genome assembly, annotation, RNA-Seq and Variation service pipelines: researchers can now assemble and annotate their raw reads, do SNP analysis and then analyze their genomes using the comparative analysis suite of tools
•Virtual integration of private data with all the public data available in PATRIC
•Virulence and antibiotic resistance data and information, along with other specialty gene information (drug targets and human homologs)
•Free, downloadable data and analysis results
•Organism summaries; pre-sorted PubMed articles; interactive phylogenetic trees; and experimental data including transcriptomics, proteomics, protein structure, and protein-protein interactions
•Numerous interactive visualizations for genome browsing, multi-genome comparisons, pathway comparisons, protein family comparisons, phylogenetic trees with coupled MSAs, gene expression comparative analysis, genome metadata, transcriptomics data, 3-D protein structures, and more
•Personal workspace for creating/comparing groups of user-selected data and storing private data.

WHO SHOULD ATTEND:  Bacterial genomic researchers/students and bioinformaticians

The following system requirements are recommended for optimal PATRIC tool access and performance: Chrome, Safari, or Firefox browser, and Adobe Flash Player.

AGENDA

Day One:

9:00-9:30 Introduction, Registration

9:30-10:30 Assembly

10:30-11:30 Annotation

11:30-12:30 Comparative Genomics

2:30-2:45 PATRIC BLAST

3:00-3:45 RNA-Seq, Differential Expression

3:45-4:15 Comparative Transcriptomics

4:15-5:00 Variation Service (SNP, MNP)

                                                                                                                                                                                                  

Day Two:

9:00-10:30 Command line interface

10:45-12:00  Private Data Analysis

1:00-4:00  Private Data Analysis

4:00  Conclusion

Registration will be limited to 40 seats. This Event is Fully Booked - Registration is Closed

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