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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...

datastorm-open.github.io - visNetwork is an R package for network visualization, using vis.js javascript library (http://visjs.org/). All remarks and bugs are welcome on github : https://github.com/datastorm-open/visNetwork. Features Based...

github.com - Circos is a javascript library to easily build interactive graphs in a circular layout. It's based on d3.js. It aims to be a javascript version of the Circos software. You should consider using Circos to show: relationships...

github.com - JBrowse is a fast, embeddable genome browser built completely with JavaScript and HTML5, with optional run-once data formatting tools written in Perl. Headline Features: Fast, smooth scrolling and zooming. Explore your genome with unparalleled...

Copyright Broad Institute, 2013. All rights reserved. Des Higgins (http://www.bioinf.ucd.ie) gives a very entertaining introduction to the visualization of multiple sequence alignment, and to his widely-used Clustal tool. He highlights the emerging...

User-friendly tools for the normalization and visualization of deep-sequencing data

bioinformatics.ua.pt - Smash is a completely alignment-free method/tool to find and visualise genomic rearrangements. The detection is based on conditional exclusive compression, namely using a FCM (Markov model), of high context order (typically 20). For...

github.com - In a nutshell Anvi’o is an analysis and visualization platform for ‘omics data. Please find the methods paper here: https://peerj.com/articles/1319/ Anvi’o would not have been possible without the help of many people who...

drive5.com - USEARCH >Extreme high-throughput sequence analysis. Orders of magnitude faster than BLAST. MUSCLE >Multiple sequence alignment. Faster and more accurate than CLUSTALW.  UPARSE >OTU clustering for 16S and other marker genes....

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...