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dc.contributor.authorServant, Nicolas
dc.contributor.authorLajoie, Bryan R.
dc.contributor.authorNora, Elphege P.
dc.contributor.authorGiorgetti, Luca
dc.contributor.authorChen, Chongjian
dc.contributor.authorHeard, Edith
dc.contributor.authorDekker, Job
dc.contributor.authorBarillot, Emmanuel
dc.date2022-08-11T08:10:59.000
dc.date.accessioned2022-08-23T17:27:25Z
dc.date.available2022-08-23T17:27:25Z
dc.date.issued2012-11-01
dc.date.submitted2012-09-05
dc.identifier.citationBioinformatics. 2012 Nov 1;28(21):2843-4. doi: 10.1093/bioinformatics/bts521</p>
dc.identifier.issn1367-4811
dc.identifier.doi10.1093/bioinformatics/bts521
dc.identifier.pmid22923296
dc.identifier.urihttp://hdl.handle.net/20.500.14038/49857
dc.description.abstractThe R/Bioconductor package HiTC facilitates the exploration of high-throughtput 3C-based data. It allows users to import and export 'C' data, to transform, normalize, annotate and visualize interaction maps. The package operates within the Bioconductor framework, and thus offers new opportunities for future development in this field.Availability and Implementation: The R package HiTC is available from the Bioconductor web site. A detailed vignette provides additional documentation and help for using the package.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=22923296&dopt=Abstract">Link to article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1093/bioinformatics/bts521
dc.subjectChromosome Positioning
dc.subjectChromosomes
dc.subjectDNA
dc.subjectGenomics
dc.subjectNucleic Acid Conformation
dc.subjectGenetic Techniques
dc.subjectBioinformatics
dc.subjectGenetics and Genomics
dc.subjectSystems Biology
dc.titleHiTC : Exploration of High-Throughput 'C' experiments
dc.typeJournal Article
dc.source.journaltitleBioinformatics (Oxford, England)
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/sysbio_pubs/13
dc.identifier.contextkey3295235
html.description.abstract<p>The R/Bioconductor package HiTC facilitates the exploration of high-throughtput 3C-based data. It allows users to import and export 'C' data, to transform, normalize, annotate and visualize interaction maps. The package operates within the Bioconductor framework, and thus offers new opportunities for future development in this field.Availability and Implementation: The R package HiTC is available from the Bioconductor web site. A detailed vignette provides additional documentation and help for using the package.</p>
dc.identifier.submissionpathsysbio_pubs/13
dc.contributor.departmentProgram in Systems Biology


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