Gene expression visualization software tools | RNA sequencing data analysis

Allows visualization of microarray data. TreeView is an open source, cross-platform which offers several views, including dendrogram, scatterplot, karyoscope and alignment, with visual cues to show which genes are selected. The software provides fine control over the appearance of dendrogram.

A tool for visualizing RNA-seq analysis results. CummeRbund takes the various output files from a cuffdiff run and creates a SQLite database of the results describing appropriate relationships betweeen genes, transcripts, transcription start sites, and CDS regions. Once stored and indexed, data for these features, even across multiple samples or conditions, can be retrieved very efficiently and allows the user to explore subfeatures of individual genes, or genesets as the analysis requires.

Identifies differentially expressed genes from count data or previously normalized count data. NOISeq empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene are likely to be part of the noise or represent a true differential expression.

Allows users to handle RNA-sequencing pipeline based on the TopHat, Cufflinks and CummeRbund suite of software. Tuxedo is a program that enables assessment of alternative splicing (AS) inferred on fragments per kilobase per million (FPKM) values. It can assist researchers to detect genes and splicing variants and compare gene expression and transcripts under different conditions.

A Galaxy based web server for processing and visualizing deeply sequenced data. The web server's core functionality consists of a suite of newly developed tools, called deepTools, that enable users with little bioinformatic background to explore the results of their sequencing experiments in a standardized setting. Users can upload pre-processed files with continuous data in standard formats and generate heatmaps and summary plots in a straight-forward, yet highly customizable manner.

A comprehensive and user-friendly system for computational analysis of bacterial RNA-seq data. As input, Rockhopper takes RNA sequencing reads output by high-throughput sequencing technology (FASTQ, QSEQ, FASTA, SAM, or BAM files). Rockhopper supports the following tasks: reference based transcript assembly; de novo transcript assembly; normalizing data from different experiments; quantifying transcript abundance; testing for differential gene expression; characterizing operon structures; visualizing results in a genome browser.

Provides the premier enterprise solution for data content, framework and graphical user interface for omic and next-generation sequencing data analysis. Array Suite (Array Studio and Array Server) differs from standard desktop solutions or open source solutions, with Array Studio providing the graphical user interface for NGS and omic analysis and visualization and Array Server providing the enterprise back-end solution for project management, sample management and data storage.