This code genome accessibility for transcription factor (TF)-binding in Bacteria.

Transcription factors need physical access to DNA it can potentially bind. However, prior to this work it was impossible to measure and assess DNA accessibility in bacteria.

This code uses ChIP-seq from multiple experiments to infer the hidden variable for genome accessibility. This is performed by a linear mixed effect model that considers two parameters: DNA affinity and DNA accessibility.

The fundaments for this code and its biological relevance is described in the following reference:
Gomes ALC, Wang HH (2016) The Role of Genome Accessibility in Transcription Factor Binding in Bacteria. PLoS Comput Biol 12(4): e1004891. doi:10.1371/journal.pcbi.1004891

Project Activity

See All Activity >

Follow BRACIL-IA

BRACIL-IA Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of BRACIL-IA!

Additional Project Details

Registered

2016-01-26