hiddenDomains uses a Hidden Markov Model to identify enriched domains in ChIP-seq data. It accepts BAM files for input and can perform an analysis with or without control data. The output is a BED file, ready for the UCSC genome browser, that contains the domains and is color coded according to their posterior probabilities.

Project Samples

H3K27me3 covering the Hoxa cluster in mm9

Project Activity

See All Activity >

Follow hiddenDomains

hiddenDomains Web Site

Other Useful Business Software
Paessler - Monitor Your Whole Network in Minutes Icon
Paessler - Monitor Your Whole Network in Minutes

Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
Start Free 30-Day Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of hiddenDomains!

Additional Project Details

Registered

2014-08-25
Report inappropriate content