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github.com - A JavaScript module for the visualization of genomic sequence graphs. It automatically generates a "tube map"-like visualization of sequence graphs which have been created with vg. (https://github.com/vgteam/vg) Link to working demo:...

http://i-pv.org/ - I-PV is a interactive data visualization software designed for inspection of protein sequences and mutation information. It is mainly used for Genetics and Bioinformatics. So what exactly makes it standout? http://i-pv.org/ipv_rec

An R package for Interactive visualization and mapping of human chromosomes

http://sandbox.bio - Learn how to use bioinformatics tools right from your browser.Everything runs in a sandbox, so you can experiment all you want. More at sandbox.bio

bitbucket.org - S-plot2 creates an interactive, two-dimensional heatmap capturing the similarities and dissimilarities in nucleotide usage between genomic sequences (partial or complete). In S-plot2, whole eukaryotic chromosomes and smaller prokaryotic genomes can...

github.com - Create an interactive dot plot from mummer output OR PAF format R script that makes a plotly interactive and/or static (png/pdf) dot plot. Shiny app available for testing

github.com - Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end...

christophergandrud.github.io - Mike Bostock’s D3.js is great for creating interactive network graphs with JavaScript. The d3Network package makes it easy to create these network graphs from R. The main idea is that you should able to take...

A curated list of awesome Perl frameworks, libraries and software. major/MySQLTuner-perl - MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and...

github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics. https://github.com/tanghaibao/jcvi More at https://github.com/tanghaibao/jcvi/wiki