inst/staticdocs/README_previous.md

In supraHex: supraHex: a supra-hexagonal map for analysing tabular omics data

Introduction

supraHex is an open-source package for tabular omics data analysis using a supra-hexagonal map. The supra-hexagonal map is a giant hexagon on a 2-dimensional map grid seamlessly consisting of smaller hexagons. It intends to meet the need for quickly understanding genome-wide biological data, which usually involve a large number of genomic coordinates (e.g. genes) but a much smaller number of samples.

supraHex first uses a supra-hexagonal map to self-organise the input omics data, and then post-analyses the trained map for integrated tasks: simultaneous analysis of genes and samples, and multilayer omics data comparisons.

supraHex aims to deliver an eye-intuitive tool and a dedicated website with extensive online documentation and easy-to-follow demos.

Features

• An integrated framework for the ultrafast understanding of any tabular omics data, both scientifically and artistically
• The supra-hexagonal map trained via a self-organising learning algorithm
• Visualisations at and across nodes of the map
• Partitioning of the map into gene meta-clusters
• Sample correlation on 2D sample landscape
• Overlaying additional data onto the trained map for exploring relationships between input and additional data
• Support for heatmap and tree building and visualisations
• This package can run on Windows, Mac and Linux

See also

• R-Forge: project page
• Bioconductor: stable release version and latest development version
• Old webpage: http://supfam.org/SUPERFAMILY/dcGO/supraHex.html

supraHex documentation built on May 24, 2021, 3 p.m.