Navigating the Sequence Read Archive to identify crAssphage, an ubiquitous inhabitant of the human microbiome

dc.contributor.authorCai, Jasmine X.
dc.contributor.authorWeathers, Jania G.
dc.contributor.authorLeffler, Haley
dc.contributor.authorGanapaneni, Sruthi
dc.contributor.authorPapudeshi, Bhavya
dc.contributor.authorSanders, Sheri
dc.contributor.authorDoak, Thomas G.
dc.date.accessioned2019-08-15T20:41:15Z
dc.date.available2019-08-15T20:41:15Z
dc.date.issued2019-07-14
dc.description.abstractThe 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.sponsorshipThis research is based upon work supported by the National Science Foundation under grant No. ABI-1759906 to Indiana University.en
dc.identifier.citationJasmine 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/2022/23372en
dc.identifier.urihttps://hdl.handle.net/2022/23372
dc.language.isoenen
dc.publisherJim Holland Summer Science Research Program Poster Sessionen
dc.rightsExcept 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.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectSequence Read Archiveen
dc.subjectJetstreamen
dc.subjectbioinformaticsen
dc.subjectmetagenomicsen
dc.titleNavigating the Sequence Read Archive to identify crAssphage, an ubiquitous inhabitant of the human microbiomeen
dc.typePresentationen

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