GPRED-GC

a Gene PREDiction model accounting for 5'-3' GC gradient

Brought to you by: ptechaang

Add a Review

Downloads: 5 This Week

Last Update: 2018-11-30

Download

Get an email when there's a new version of GPRED-GC

A new hidden Markov model (HMM)-based ab initio
gene prediction tool for finding genes with highly variable GC contents such as the genes with negative GC gradients in grass genomes.

Project Activity

See All Activity >

Follow GPRED-GC

GPRED-GC Web Site

Other Useful Business Software

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Get Started Free

Rate This Project

User Reviews

Be the first to post a review of GPRED-GC!

Additional Project Details

Registered

2018-02-27

Report inappropriate content

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Get Started Free

Recommended Projects

PALM
Probabilistic natural mapping for gene based association study.
High-order HMM in Matlab
Implementation of duration high-order hidden Markov model in Matlab.
General Hidden Markov Model Library
The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
refinehmm
RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit against the evolutionary group that the HMM models, and it does this using through iterative database searches and incremental subsequent adaptation of the seed set.
Tree2GD
A method for inferring gene duplication events from gene trees