TIBCO Spotfire for Genomics

Analytics for biomarker discovery and genomics research


TIBCO Spotfire for Genomics TIBCO Spotfires software provides a powerful set of advanced methods for data access, normalization, pattern detection, treatment comparison, and functional analysis for scientists analyzing genomic expression data, which facilitates the identification of statistically meaningful results, expression patterns and biologically-relevant insights.

Dynamic linked visualizations coupled with the ability to interactively filter your results ensure an optimal end-user experience, answers to questions on demand and unmatched breadth of insight.

A series of step-by-step workflows guide the analysis from start to finish, integrating advanced statistics and interactive visualizations to extract significant biological signals, this enables users of all levels to produce meaningful and reliable results. Each guided workflow contains a unique configuration of data access, quality control, analysis tools and process support for specific expression platforms, allowing fast informed decision-making. Workflows promote consistency and best practices while allowing maximum flexibility in analysis.

 Basic S&P 500 analysis

Guided workflows mean less time learning software and more time discovering key relationships 

New users gain immediate value from gene expression and associated data 

Drives analytic best practice 

Highly interactive visual environment provides unmatched breadth of insight

One analytic environment supporting analytic specialists and domain experts

Supports analytic information flow and communication across the organization



Watch TIBCO Spotfire for Genomics in Action

Key Features


TIBCO Spotfire for Genomics - Provides a powerful set of advanced methods for data access, normalization, pattern detection, treatment comparison, and functional analysis for scientists analyzing genomic expression data, a wide range of data formats from popular expression platforms and flexible support for different experimental design structures.

Normalization and filtering methods - Included and can be used independently or within the context of a guided workflow. Built-in quality control steps allow for the assessment of raw, normalized and filtered data, providing the ability to flag bad experiments and remove them from further processing to eliminate bias. Clustering methods and treatment comparisons provide ways to group genes by similar response and see how they differ across samples, groups and factors. Known information about the biochemical pathways, through integration with Ingenuity Pathways Analysis, and Gene Ontology classifications can be viewed interactively alongside the experimental data. Questions regarding a gene’s role in response to treatments can be answered interactively and on demand.

Extension functionality - Analytics from R and BioConductor* TIBCO Spotfire for Genomicsfor TIBCO Spotfire can be optionally extended with additional analytics through a freely available package which integrates selected R and BioConductor libraries. This optional package for TIBCO Spotfire for Genomicsprovides a user friendly interface to BioConductor functionality through guided workflows, without the need for R language-related skills.*

*The extension package and the modules it contains are not part of the Integromics Biomarker Discovery product and therefore not within the scope of your license for Integromics Biomarker Discovery in any way. The modules are not supported, maintained, or warranted in any way by Integromics or TIBCO Software Inc. Download and use of the extended package is solely at the discretion of customer and subject to the free open source license terms applicable to the modules.

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