BOL

rstudio-pubs-static.s3.amazonaws.com - First step: Install & load “VennDiagram” package. # install.packages('VennDiagram') library(VennDiagram) Second step: Load data Add filepath if “catdoge.csv” is not in working-directory. d <-...

www.bioconductor.org - Sushi: An R/Bioconductor package for visualizing genomic data

github.com - maftools - An R package to summarize, analyze and visualize MAF files. Introduction. With advances in Cancer Genomics, Mutation Annotation Format (MAF) is being widley accepted and used to store variants detected. The Cancer Genome Atlas Project...

ritchielab.psu.edu - With PhenoGram researchers can create chomosomal ideograms annotated with lines in color at specific base-pair locations, or colored base-pair to base-pair regions, with or without other annotation. PhenoGram allows for annotation of chromosomal...

wego.genomics.org.cn - WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many...

github.com - pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot: bigwig bed (many options) bedgraph links (represented as arcs) Hi-C matrices (if HiCExplorer is...

cran.r-project.org - This package consists of a series of functions created by the author (Jacob) to automate otherwise tedious research tasks. At this juncture, the unifying theme is the more efficient presentation of regression analyses. There are a number of...

wlcb.oit.uci.edu - Circos visualization https://wlcb.oit.uci.edu/modules/index.html

www.ncbi.nlm.nih.gov - VGSC, the Vector Graph toolkit of genome Synteny and Collinearity, and its online service, to visualize the synteny and collinearity in the common graphical format, including both raster (JPEG, Bitmap, and PNG) and vector graphic (SVG, EPS, and...

github.com - This pangenome graph construction pipeline renders a collection of sequences into a pangenome graph (in the variation graph model). Its goal is to build a graph that is locally directed and acyclic while preserving large-scale variation. Maintaining...