Reading between the genes: interpreting non-coding DNA in high-throughput

dc.contributor.authorBerghout, Joanne
dc.contributor.authorLussier, Yves A.
dc.contributor.authorVitali, Francesca
dc.contributor.authorBulyk, Martha L.
dc.contributor.authorKann, Maricel G.
dc.contributor.authorMoore, Jason H.
dc.date.accessioned2019-01-28T18:14:33Z
dc.date.available2019-01-28T18:14:33Z
dc.date.issued2019-01-03
dc.descriptionPacific Symposium on Biocomputing 2019en
dc.description.abstractIdentifying functional elements and predicting mechanistic insight from non-coding DNA and non-coding variation remains a challenge. Advances in genome-scale, high-throughput technology, however, have brought these answers closer within reach than ever, though there is still a need for new computational approaches to analysis and integration. This workshop aims to explore these resources and new computational methods applied to regulatory elements, chromatin interactions, non-protein-coding genes, and other non-coding DNA.en
dc.description.urihttps://psb.stanford.edu/psb-online/proceedings/psb19/wkshop-rbg.pdfen
dc.format.extent5 pagesen
dc.genreconference papers and proceedingsen
dc.identifierdoi:10.13016/m2zni7-kbvx
dc.identifier.urihttp://hdl.handle.net/11603/12629
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Biological Sciences Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)*
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectnon-coding DNAen
dc.subjectbioinformaticsen
dc.subjectepigeneticsen
dc.subjecttranscription factoren
dc.subjectsystems biologyen
dc.titleReading between the genes: interpreting non-coding DNA in high-throughputen
dc.typeTexten

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