A Bayesian approach for accurate de novo transcriptome assembly

Abstract De novo transcriptome assembly from billions of RNA-seq reads is very challenging due to alternative splicing and various levels of expression, which often leads to incorrect, mis-assembled transcripts. BayesDenovo addresses this problem by using both a read-guided strategy to accurately re...

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Auteurs principaux: Xu Shi, Xiao Wang, Andrew F. Neuwald, Leena Halakivi-Clarke, Robert Clarke, Jianhua Xuan
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/5c8b642b39f143d69538c2b2e7bf0e53
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