Orca

A macOS native app for differential gene expression analysis.

Orca is a gene expression analysis software that is native to macOS, and does not require additional plugins or run-time environments, such as Java™. With Orca, there’s no more copy & paste errors and tedious tasks to analyse and generate reports on gene expression data. The application allows for seamless analysis of differential gene expression on various types of gene expression data sets, such as RNAseq, MicroArray and NanoString®.

Orca is a one time purchase which gives you *lifetime* access to the app. All updates to the app are made available to you for free and our team is constantly developing new and exciting features. This is unlike many analysis packages available to biomedical scientists that require monthly or annual subscriptions which can easily become cost prohibitive.

 

Features

– Orca comes with gene annotation data for 27 different species.
– Access information from NCBI Gene for more detailed information on your gene of interest (internet access required).
– Create journal quality figures straight from the app.
– Intuitive copy & paste feature for copying tabulated data from Orca to other applications, such as Microsoft Excel and Graph Pad Prism.
– Intuitively copy graphs to other applications, such as Microsoft PowerPoint and Adobe Illustrator.
– Export graphs as high quality PNG or PDF (vector image).
– Export tabulated data as tab-delimited (.txt) or comma separated value (.csv) files.
– Orca comes packed with different data transformation and normalization features that can be applied with a simple click.
– Intuitively build comparison ratios between your control and samples.
– Create heatmaps to quickly identify highly differential genes.
– Import gene expression data straight from Cuffdiff (diffout).
– Import gene expression data from tab-delimited or comma separated value files, which can be created with minimal effort with any spreadsheet software.

**More new features to come with updates, such as gene ontology and enrichment analysis! So get your lifetime access to Orca now for a more intuitive and streamlined experience for gene expression analysis.

Getting Started

To get started, format your data in your favorite spreadsheet application, and simply import it into Orca.  You can very easily create groups and assign your samples to them.  Don’t forget to specify your species, as this will be important when looking genes up on NCBI Gene as well as using our gene ontology feature.

 

 

Once your data is imported, it’s a breeze to view individual data points.  Just click on the ‘Count’ tab and you will see a tabulated version of your data.  You can quickly change the display format to z-score or group view, as well as enable the differential expression graph view feature.  With the graph view feature, you can click on any gene you wish to view and the graph will update automatically.

 

 

By enabling ‘Group View’, you can now look at the average values of your samples and the standard deviation.  While ‘Group View’ is enabled, your graph view will reflect that by showing the average and standard deviation as an error bar.

 

 

But it doesn’t end there! By clicking on the ‘Comparison’ tab, you are now able to look at fold-changes, as well as its variations, such as log2-fold-change, log2(fold-change + 1), asinh, and asinh(fold-change + 1).  Similarily, you can click on the graph view to display the comparison data for each gene.

 

 

And like the ‘Count’ tab, the ‘Comparison’ tab also has ‘Group View’ as well as additional features like transformation and heatmap.  With ‘Group View’ enabled, the graph view will also display mean and standard deviation.  You may have noticed that the gene symbols in both ‘Count’ and ‘Comparison’ tabs are in blue as if they are hyperlinks.  When you double click any gene symbol, your web browser will open to NCBI Gene’s entry for that gene and specified species.  Hopefully a convenient feature when you find a highly differential gene that you don’t know what it does.  And finally, enabling ‘Heatmap’ will create a green-to-red heatmap of differentially expressed genes.

 

 

These are just some of the many exciting features that Orca has to offer.  And we are constantly working to improve our user experience while providing the best differential expression analysis tool on the market.  So stay tuned for more breathtaking updates!

 

Trademark and Copyright Notices

NanoString® and NanoString Technologies® are registered trademarks or trademarks of NanoString Technologies, Inc. in the United States and/or other countries.  Oracle™ and Java™ are registered trademarks of Oracle and/or its affiliates.  All other names may be trademarks of their respective owners.

Copyright © 2018 Evo Group Technologies, Inc. All rights reserved.