It's not just the data, it's the analysis; - Why a Biology Cyberinfrastructure is the Best Way to Meet the Challenges of Large Datasets

This workshop is for biologists who are working with large data sets. It will feature talks, tutorials, and demos that will help you use free, NSF-funded resources (#DBI-1265383) for a variety of data-intensive analyses (e.g. genome assembly and annotation, RNA-Seq, image analysis, GWAS, geospatial etc.). Users with limited bioinformatics experience, or experienced users who need access to greater HPC capacity will both benefit from attending. Whether you’re just getting started with high-throughput sequencing, or have been working with biological big data for years - data analysis and management are usually the most challenging aspects of investigation. Some challenges are obvious up front (“my files are too large to share”); some challenges appear later on (“I can’t replicate because metadata is missing or my previous software has disappeared”) – working with cyberinfrastructure can help solve these challenges and more. In this workshop we’ll cover the platforms, tools, and services developed by the iPlant Collaborative and demonstrate how research communities studying arthropods, microbes, animals are using them. The workshop is targeted at anyone working with large datasets and will • Overview of available resources (data storage/sharing, web interfaces, cloud computing) • “Get started” demos on tools, platforms, and intro to RNA-Seq analysis • Presentations by researchers who have used used these tools to solve problems • How tool developers can make their tools and pipelines more accessible to the research community For more information on related presentations and hand-on bioinformatics and developer tutorials at this year’s PAG, please visit www.iplantc.org/pag2015
Date: Monday, January 12, 2015
Time: 6:10 PM-8:20 PM
Room: California
Jason Williams
6:10 PM
Overview of the iPlant Collaborative
Matthew Vaughn, Texas Advanced Computing Center, University of Texas

6:20 PM
Functional Analysis of Your RNAseq Data
Fiona McCarthy, University of Arizona

6:35 PM
7:30 PM
Utilizing iPlant to Unearth Long Non-Coding RNAs and Characterize Their Evolution in the Plant Family Brassicaceae
Andrew D Nelson, School of Plant Sciences, University of Arizona; Evan S Forsythe, School of Plant Sciences, University of Arizona; Eric Lyons, School of Plant Sciences, iPlant Collaborative; Mark A Beilstein, School of Plant Sciences, University of Arizona

7:50 PM
Flash Talk: An Ontology Approach to Comparative Phenomics in Plants
Eva Huala, Phoenix Bioinformatics; Anika Oellrich, Wellcome Trust Sanger Institute; Ramona Walls, The iPlant Collaborative; Ethalinda Cannon, Iowa State University; Steven B. Cannon, USDA-ARS-CICGRU; Laurel Cooper, Department of Botany & Plant Pathology, Oregon State University; Jack Gardiner, Iowa State University; Georgios Gkoutos, Computer Science Department, Aberystwyth University; Lisa Harper, USDA ARS; Mingze He, Bioinformatics and Computational Biology Program, Iowa State University; Robert Hoehndorf, King Abdullah University of Science & Technology; Pankaj Jaiswal, Department of Botany & Plant Pathology, Oregon State University; Scott R. Kalberer, USDA-ARS-CICGRU; Johnny Lloyd, Michigan State University; David Meinke, Oklahoma State University; Naama Menda, Boyce Thompson Institute for Plant Research; Laura Moore, Department of Botany and Plant Pathology, Oregon State University; Rex Nelson, USDA-ARS-CICGRU; Anuradha Pujar, Cornell University; Carolyn J. Lawrence-Dill, Bioinformatics and Computational Biology Program, Iowa State University

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