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Machine learning and statistics shape a novel path in archaeal promoter annotation

Abstract Background Archaea are a vast and unexplored domain. Bioinformatic techniques might enlighten the path to a higher quality genome annotation in varied organisms. Promoter sequences of archaea have the action of a plethora of proteins upon it. The conservation found in a structural level of...

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Principais autores: Gustavo Sganzerla Martinez, Ernesto Pérez-Rueda, Sharmilee Sarkar, Aditya Kumar, Scheila de Ávila e Silva
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2022-05-01
Series:BMC Bioinformatics
Acceso en liña:https://doi.org/10.1186/s12859-022-04714-x
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