BOL

github.com - Binaries of ngs-bits are available via Bioconda. Alternatively, ngs-bits can be built from sources: Binaries for Linux/macOS From sources for Linux/macOS From sources for Windows

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 <-...

it.informatik.uni-tuebingen.de - The number of completely sequenced genomes is continuously rising, allowing for comparative analyses of genomic variation. Such analyses are often based on whole-genome alignments to elucidate structural differences arising from insertions,...

brig.sourceforge.net - BRIG is a free cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. The application is available...

christophergandrud.github.io - You can also create Sankey diagrams with sankeyNetwork. Here is an example using downloaded JSON data: https://en.wikipedia.org/wiki/Sankey_diagram

genoplotr.r-forge.r-project.org - genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made tabular files. Features Linear...

github.com - Tinycov is a small standalone command line utility written in python to plot the coverage of a BAM file quickly. This software was inspired by Matt Edwards' genome coverage plotter. To install the stable version: pip3 install --user...

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

RAST – Web tool (upload contigs), uses the subsystems in the SEED database and provides detailed annotation and pathway analysis. Takes several hours per genome but I think this is the best way to get a high quality annotation...

github.com - Genome U-Plot for producing clear and intuitive graphs that allows researchers to generate novel insights and hypotheses by visualizing SVs such as deletions, amplifications, and chromoanagenesis events. The main features of the Genome U-Plot are...