RNA-seq analysis software for non-computational biologists

You deserve better than code editors and spreadsheets. Genialis is a cloud-based visual analytics platform that gets you from RNA sequence to insights with just a few clicks.

Analyze, Interpret, and Manage Your Data

Analyzing RNA-seq data in Excel can be a nightmare, and learning a programming language just so you can make sense of your data is not the best use of your time.

Contending with hundreds of spreadsheet rows and lines of code shouldn’t consume the better part of your day. Your job is to uncover the molecular mechanisms that push scientific knowledge further. And you need better tools to do your job.

With Genialis you can take back your time, recover your sanity, and unlock deeper insights in your data.

Analyze, Interpret, and Manage Your Data

Genialis Expressions puts time and control back into your hands with guided, visual RNA-seq analysis and interpretation workflows that enable you to:

Establish Reproducibility Across Projects

Run validated, single-click bioinformatics pipelines through cloud-hosted computational resources so your primary data analyses are done the same way across projects.

Ensure Experiment Design Quality

Verify consistency between your experimental replicates and identify relevant correlations or differences amongst experimental conditions.

Compare Expression Levels Across Conditions

Quantify gene abundance in individual samples and investigate differential expression of individual genes, predefined gene sets, and entire transcriptomes.

Assess Differences in Biological Activity

Understand how specific experimental conditions affect the regulation of groups of related genes and their corresponding biological functions.

Genialis Users, in Their Own Words

“I truly believe we can only accelerate the translation of complex NGS data to the real world once user-friendly software tools are accessible to every researcher, especially for those that lack formal bioinformatics training. This is where Genialis excels.”

Charles Y. Lin, PhD. Assistant Professor, Baylor College of Medicine

Platform Overview

Bioinformatics for biologists, by biologists. Speed your analysis throughput with pre-configured, raw data processing pipelines that run automatically and don’t require a bioinformatician’s help.

Interactive visual analyses for not-so dummies. Ask and answer new questions in real-time with updated information that propagates across your project when you add / remove samples or genes.

Hands-off (or on) data management. Benchmark future studies against previous results with standardized data annotations and platform-enabled data provenance.

Bioinformatics for biologists, by biologists.

Speed your analysis throughput with pre-configured, raw data processing pipelines that run automatically and don’t require a bioinformatician’s help.

Interactive visual analyses for not-so dummies.

Ask and answer new questions of your data in real-time with updated information that propagates across your project when you add and remove samples or genes.

Hands-off (or on) data management.

Optimize experiment reproducibility and benchmark future studies against previous results with standardized data annotations and platform-enabled data provenance.

Bioinformatics for biologists, by biologists.

Speed your analysis throughput with pre-configured, raw data processing pipelines that run automatically and don’t require a bioinformatician’s help.

Interactive visual analyses for not-so dummies.

Ask and answer new questions of your data in real-time with updated information that propagates across your project when you add and remove samples or genes.

Hands-off (or on) data management.

Optimize experiment reproducibility and benchmark future studies against previous results with standardized data annotations and platform-enabled data provenance.

Stop Wrestling with Your RNA-seq Data

You deserve better than code editors and spreadsheets. Let Genialis show you a better way.

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