SeqMonk is a program to enable the visualisation and analysis of mapped sequence data. It was written for use with mapped next generation sequence data but can in theory be used for any dataset which can be expressed as a series of genomic positions.
Cytoscape.js is an open-source JavaScript-based graph library. Its most common use case is as a visualization software component, so it can be used to render interactive graphs in a web browser.
MIDAS (Multiallelic Interallelic Disequilibrium Analysis Software) is a linkage disequilibrium analysis program with a comprehensive graphical user interface providing novel views of patterns of linkage disequilibrium between all types of multiallelic and biallelic markers.
DisVis is a Python package and command line tool to visualize and quantify the accessible interaction space of distance restrained binary biomolecular complexes.
MAVisto (Motif Analysis and VISualisation TOolkit)is a tool for the exploration of motifs in network. It provides a flexible motif search algorithm and different views for the analysis and visualisation of network motifs.
Alvis (Interactive non-aggregative multiple sequence ALignment VISualisation) is an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualisation method.
DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.
RnamlView is a visualization tool that displays/edits 2-dimensional diagrams of RNA/DNA secondary structures with tertiary interactions created by RNAView (above). The application generates standard molecular representations (e.g. tRNA cloverleaf structures) or any structural representation desired by the user by rearranging various parts (e.g helices and single strands) of the RNAView 2D diagrams. RNA motifs are rapidly identified and classified with the base pair annotation and the 2D graphic display.
::DEVELOPER
Fabrice Jossinet, & Eric Westhof, Institut de biologie moleculaire et cellulaire du CNRS
ClusterViz is a software to visualize the clustering process using the family of k-means algorithms. ClusterViz allows to cluster data while visualizing an up to three dimensional projection. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.