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dc.contributor.author Cai, Jasmine X.
dc.contributor.author Weathers, Jania G.
dc.contributor.author Leffler, Haley
dc.contributor.author Ganapaneni, Sruthi
dc.contributor.author Papudeshi, Bhavya
dc.contributor.author Sanders, Sheri
dc.contributor.author Doak, Thomas G.
dc.date.accessioned 2019-08-15T20:41:15Z
dc.date.available 2019-08-15T20:41:15Z
dc.date.issued 2019-07-14
dc.identifier.citation Jasmine X. Cai, Jania G. Weathers, Haley Leffler, Sruthi Ganapaneni, Bhavya Papudeshi, Sheri A. Sanders and Thomas G. Doak. 2019. Navigating the Sequence Read Archive to identify crAssphage, an ubiquitous inhabitant of the human microbiome. Jim Holland Summer Science Research Program Poster Session, Bloomington, IN. Retrieved from http://hdl.handle.net/2022/23372 en
dc.identifier.uri http://hdl.handle.net/2022/23372
dc.description.abstract The declining costs of genome sequencing and growing amounts of genetic data is evolving the field of genomics to become more integrated with computational analysis. The use of high performance clusters(HPC) are necessary to compute the large amounts of data in genomic projects. However, many biologists lack the background experience in working with HPC systems, which limits their ability to best address their research questions. National Center of Genome Analysis Support (NCGAS) is an NSF funded center that focuses on filling this crevice, through helping the research through providing training as workshops, bioinformatics support on projects, and access to compute resources. As a byproduct of helping on research projects, we develop open source workflows and make them available to the community. Here we present a developed workflow that will assist researchers in mining the sequence read archive (SRA), to identify other environments/datasets potentially contain a genome of interest, and identify their closely related genomes. As a proof of concept, we used two genomes to test the developed workflow. We selected these two different genomes to ensure the flexibility of the workflow to generate results in formats to aid further downstream analysis based on the research question.The developed pipeline will be made available through an NSF cloud computing platform, Jetstream with documentation to the research community. en
dc.description.sponsorship This research is based upon work supported by the National Science Foundation under grant No. ABI-1759906 to Indiana University. en
dc.language.iso en en
dc.publisher Jim Holland Summer Science Research Program Poster Session en
dc.rights Except where otherwise noted, the contents of this presentation are copyright of the Trustees of Indiana University. 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 https://creativecommons.org/licenses/by/4.0/ en
dc.subject Sequence Read Archive en
dc.subject Jetstream en
dc.subject bioinformatics en
dc.subject metagenomics en
dc.title Navigating the Sequence Read Archive to identify crAssphage, an ubiquitous inhabitant of the human microbiome en
dc.type Presentation en


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