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dc.contributor.advisorLangmead, Ben
dc.creatorWilks, Christopher Nathan
dc.date.accessioned2022-03-23T14:46:07Z
dc.date.available2022-03-23T14:46:07Z
dc.date.created2020-12
dc.date.issued2020-10-14
dc.date.submittedDecember 2020
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/66892
dc.description.abstractAs more and larger genomics studies appear, there is a growing need for comprehensive and queryable cross-study summaries. We focus primarily on nearly 20,000 RNA-sequencing studies in human and mouse, consisting of more than 750,000 sequencing runs, and the coverage summaries derived from their alignment to their respective gnomes. In addition to the summarized RNA-seq derived data itself we present tools (Snaptron, Monorail, Megadepth, and recount3) that can be used by downstream researchers both to process their own data into comparable summaries as well as access and query our processed, publicly available data. Additionally we present a related study of errors in the splicing of long read transcriptomic alignments, including comparison to the existing splicing summaries from short reads already described (LongTron).
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherJohns Hopkins University
dc.subjectbig data, RNA-seq, genomics, cloud
dc.titleENABLING EFFICIENT AND STREAMLINED ACCESS TO LARGE SCALE GENOMIC EXPRESSION AND SPLICING DATA
dc.typeThesis
thesis.degree.disciplineBioinformatics
thesis.degree.grantorJohns Hopkins University
thesis.degree.grantorWhiting School of Engineering
thesis.degree.levelDoctoral
thesis.degree.namePh.D.
dc.date.updated2022-03-23T14:46:08Z
dc.type.materialtext
thesis.degree.departmentComputer Science
dc.contributor.committeeMemberSchatz, Michael C.
dc.contributor.committeeMemberFlorea, Liliana
dc.publisher.countryUSA


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