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dc.contributor.author Hallock, Barbara
dc.contributor.author Ganote, Carrie
dc.contributor.author Pespeni, Melissa
dc.date.accessioned 2014-08-12T17:08:39Z
dc.date.available 2014-08-12T17:08:39Z
dc.date.issued 2014-10
dc.identifier.citation Presented at Plant and Animal Genome Conference XXII January 11-15 2014 San Diego, CA en
dc.identifier.uri http://hdl.handle.net/2022/18610
dc.description.abstract New DNA sequencing technologies are generating more sequence data, faster, and cheaper. But there is a catch: the sequences are shorter and the nucleotide identification has higher error rates, meaning that the computational challenge of assembling a full genome from sequence data is also greater. In this poster, we examine cyberinfrastructure resources available to researchers undertaking genomics work, and present a case study that illustrates how one lab is currently making use of these resources. en
dc.description.sponsorship This material is based upon work supported by the National Science Foundation under Grant No. ABI-1062432, Craig Stewart, PI. William Barnett, Matthew Hahn, and Michael Lynch, co-PIs. This work was supported in part by the Lilly Endowment, Inc. and the Indiana University Pervasive Technology Institute. Any opinions presented here are those of the presenter(s) and do not necessarily represent the opinions of the National Science Foundation or any other funding agencies en
dc.language.iso en_US en
dc.rights Items indicated with a © are under copyright and used here with permission. Such items may not be reused without permission from the holder of copyright except where license terms noted on a slide permit reuse. Except where otherwise noted, contents of this presentation are copyright 2014 by the Trustees of Indiana University. This document is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.subject genomics, XSEDE, campus bridging, biodiversity, NCGAS, research computing en
dc.title Cyberinfrastructure Resources for Genomics Research en
dc.type Presentation en
dc.altmetrics.display true en


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