Dex-gen

Brought to you by: muhammad-hamza

Add a Review

Downloads: 0 This Week

Last Update: 2017-04-21

Download

Get an email when there's a new version of Dex-gen

Windows

This software is intended to identify the differentially expressed genes from the given set of genes. The data is input by the user in the form of Comma Delimited (.csv) Microsoft Excel (2007 and above) File.

Project Samples

Project Activity

See All Activity >

Follow Dex-gen

Dex-gen Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Dex-gen!

Additional Project Details

Operating Systems

Windows

User Interface

Command-line

Programming Language

C++

Registered

2017-04-19

Report inappropriate content

Featured

Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.

Start Free

Recommended Projects

CSV
Utility library for working with CSV and other delimited files
Multi-Array Correl. Computation Utility
In addition to computing co-expression clusters, Maccu fishes potential co-expressed genes for a given bait set. All results can be further processed via graph-level operations so that we can compare graphs based on different reference data.
vcard2xls
VCard to XLS is a utility that I created to convert a VCard file with multiple entries into Microsoft Excel format. Once in Excel, the file can be saved as a Comma Separated Values file (.CSV) and imported into may different programs.
SmallRNA
iSRAP is an integrated Small RNA-seq Analysis Pipeline that aims to assess sequence quality and examine differentially expressed microRNA and other small non-coding RNAs.
PeakAnnotator
PeakAnnotator was designed for bulk annotation of genomic locations, to identify key features of interest, such as location within genes or closest up- or downstream transcription start site.