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dc.contributor.author
Beati, Maria Paula  
dc.contributor.author
Chereji, Razvan V.  
dc.date.available
2023-06-26T10:40:57Z  
dc.date.issued
2020  
dc.identifier.citation
Creating 2D Occupancy Plots Using plot2DO; BioC 2020: Where Software and Biology Connect; Boston; Estados Unidos; 2020; 1-8  
dc.identifier.issn
2046-1402  
dc.identifier.uri
http://hdl.handle.net/11336/201398  
dc.description.abstract
The 2D occupancy (2DO) plot is useful for an initial quality check of MNase-seq data, in order to assess the degree of chromatin digestion, and also for getting insights about the nucleosome organization, as well as about the MNase digestion kinetics.plot2DO is a flexible tool for evaluating the quality of MNase-seq and MNase-ChIP-seq data, and for visualizing the distribution of nucleosomes near the functional regions of the genome.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
F1000Research  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
MNaseSeq  
dc.subject
NucleosomePositioning  
dc.subject
Visualization  
dc.subject
Software  
dc.subject.classification
Otros Tópicos Biológicos  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Creating 2D Occupancy Plots Using plot2DO  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-01T23:02:59Z  
dc.journal.pagination
1-8  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Beati, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina  
dc.description.fil
Fil: Chereji, Razvan V.. National Institutes of Health; Estados Unidos  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.7490/f1000research.1118043.1  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://f1000research.com/slides/9-724  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://bioc2020.bioconductor.org/  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
BioC 2020: Where Software and Biology Connect  
dc.date.evento
2020-07-27  
dc.description.ciudadEvento
Boston  
dc.description.paisEvento
Estados Unidos  
dc.type.publicacion
Journal  
dc.description.institucionOrganizadora
Bioconductor Comité Organizador  
dc.source.revista
F1000Research  
dc.date.eventoHasta
2020-07-31  
dc.type
Conferencia  

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