Pregled bibliografske jedinice broj: 1071208
GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data
GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data // Bmc genomics, 16 (2015), 963, 9 doi:10.1186/s12864-015-2140-x (međunarodna recenzija, članak, znanstveni)
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Naslov
GenomicInteractions: An R/Bioconductor package for
manipulating and investigating chromatin interaction data
Autori
Harmston, Nathan ; Ing-Simmons, Elizabeth ; Perry, Malcolm ; Barešić, Anja ; Lenhard, Boris
Izvornik
Bmc genomics (1471-2164) 16
(2015);
963, 9
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Bioconductor Package, Chromatin Interaction, Interaction Landscape, Enhancer Interaction, Individual Anchor
Sažetak
Background Precise quantitative and spatiotemporal control of gene expression is necessary to ensure proper cellular differentiation and the maintenance of homeostasis. The relationship between gene expression and the spatial organisation of chromatin is highly complex, interdependent and not completely understood. The development of experimental techniques to interrogate both the higher-order structure of chromatin and the interactions between regulatory elements has recently lead to important insights on how gene expression is controlled. The ability to gain these and future insights is critically dependent on computational tools for the analysis and visualisation of data produced by these techniques. Results and conclusion We have developed GenomicInteractions, a freely available R/Bioconductor package designed for processing, analysis and visualisation of data generated from various types of chromosome conformation capture experiments. The package allows the easy annotation and summarisation of large genome-wide datasets at both the level of individual interactions and sets of genomic features, and provides several different methods for interrogating and visualising this type of data. We demonstrate this package’s utility by showing example analyses performed on interaction datasets generated using Hi-C and ChIA-PET.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE