The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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Offers functions for plotting split (or implicit) networks (unrooted, undirected) and explicit networks (rooted, directed) with reticulations extending. 'ggtree' and using functions from 'ape' and 'phangorn'. It extends the 'ggtree' package [@Yu2017] to allow the visualization of phylogenetic networks using the 'ggplot2' syntax. It offers an alternative to the plot functions already available in 'ape' Paradis and Schliep (2019) <doi:10.1093/bioinformatics/bty633> and 'phangorn' Schliep (2011) <d
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Visualize unrooted, undirected split networks (such as consensus networks or neighbor-nets) from Nexus files.
library(tanggle)
library(phangorn)
library(ggtree)
fdir <- system.file("extdata/trees", package = "phangorn")
Nnet <- phangorn::read.nexus.networx(file.path(fdir,"woodmouse.nxs"))
p <- ggsplitnet(Nnet) + geom_tiplab2()
p <- p + xlim(-0.019, .003) + ylim(-.01, .012)
Input: A Nexus file containing split network data, read as a networx object; Output: A ggplot object representing the unrooted split network with tip labels.
Visualize explicit, rooted phylogenetic networks with reticulations from extended Newick format.
library(tanggle)
library(ape)
z <- read.evonet(text = "((1,((2,(3,(4)Y#H1)g)e,(((Y#H1,5)h,6)f)X#H2)c)a, ((X#H2,7)d,8)b)r;")
p <- ggevonet(z, layout = "slanted") + geom_tiplab() + geom_nodelab()
Input: An extended Newick format string; Output: A ggplot object representing a rooted phylogenetic network with reticulations.
ggsplitnet.ggevonet.ggplot2 layers such as geom_tiplab2 and geom_nodepoint.ggtree directly as it is optimized for simple tree structures.ggraph or igraph.networx object, typically read via phangorn::read.nexus.networx.evonet object, typically read via ape::read.evonet.ggevonet (can be "rectangular" or "slanted").geom_tiplab2 or geom_nodepoint to customize labels and nodes.geom_tiplab2.geom_tiplab2.xlim and ylim to ensure long tip labels are fully visible and readable.geom_tiplab2 for split networks to properly align labels along the network perimeter.minimize_overlap.xlim and ylim limits to the ggplot object.minimize_overlap to the network object before plotting.ape: For basic plotting of evonet objects without ggplot2 syntax.phangorn: For basic plotting of networx split networks without ggplot2 integration.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
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This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
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apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
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ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
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AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
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