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Bioconductor software package (programming)

Bioconductor software package (programming) diagram by Häuser et al, Wikimedia
Häuser et al, Wikimedia

The open source software R / Bioconductor is used for statistical analysis and visualization, with continual generation of new analysis packages and updates. Find the latest research on programming and Bioconductor here.

Top 20 most recent papers

Normalizing and denoising protein expression data from droplet-based single cell profiling

bioRxivFebruary 25, 2020
Matthew P. Mul&egraveJohn S. Tsang
International Journal of Cancer. Journal International Du Cancer

Molecular description of ANGPT2 associated colorectal carcinoma

International Journal of Cancer. Journal International Du CancerMarch 31, 2020
Marine JaryJean Paul Feugeas
Frontiers in Genetics

LDlinkR : An R Package for Rapidly Calculating Linkage Disequilibrium Statistics in Diverse Populations

Frontiers in GeneticsMarch 18, 2020
Timothy A MyersMitchell J Machiela

Population-specific FST and Pairwise FST: History and Environmental Pressure

bioRxivJanuary 31, 2020
Shuichi KitadaHirohisa Kishino

Incorporating Prior Knowledge into Regularized Regression

bioRxivMarch 5, 2020
Chubing ZengJuan Pablo Lewinger

Knowledge guided multi-level network inference

bioRxivFebruary 20, 2020
Christoph OgrisNikola S Mueller
Journal of Open Source Software

Bedtoolsr: An R package for genomic data analysis and manipulation

Journal of Open Source SoftwareJanuary 7, 2020
Mayura N PatwardhanDouglas H Phanstiel
Current Protocols in Bioinformatics

Using ggtree to Visualize Data on Tree-Like Structures

Current Protocols in BioinformaticsMarch 13, 2020
Guangchuang Yu

simplePHENOTYPES: SIMulation of Pleiotropic, Linked and Epistatic PHENOTYPES

bioRxivJanuary 14, 2020
Samuel B. Fernandes, Alexander E. Lipka
BMC Bioinformatics

PANEV: an R package for a pathway-based network visualization

BMC BioinformaticsFebruary 8, 2020
Valentino PalomboMariasilvia D'Andrea

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