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Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training

We describe a new ab initio algorithm, GeneMark-ES version 2, that identifies protein-coding genes in fungal genomes. The algorithm does not require a predetermined training set to estimate parameters of the underlying hidden Markov model (HMM). Instead, the anonymous genomic sequence in question is...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Ter-Hovhannisyan, Vardges, Lomsadze, Alexandre, Chernoff, Yury O., Borodovsky, Mark
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Cold Spring Harbor Laboratory Press 2008
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC2593577/
https://ncbi.nlm.nih.gov/pubmed/18757608
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.081612.108
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