MetaGUN

[…] however, the main limitation of such markov chain models is that thousands of parameters are needed in practical use. the machine learning-based methods such as orphelia [, ], mgc [], and metagun [] often formulated the metagenomic fragments with an effective mathematical expression that can truly reflect their intrinsic correlation with the target to be predicted and then designed […]

[…] gene that has been discovered to date. there are several tools that can be used for de novo gene prediction, including metagene (), glimmer-mg (), metagenemark (), fraggenescan (), orphelia (), and metagun (). in , many of these methods were compared using statistical simulations. the authors found that their performance varied as a function of read properties (e.g., length and sequencing error […]