Prediction of Bacterial sRNAs Using Sequence-Derived Features and Machine Learning

Small ribonucleic acid (sRNA) sequences are 50–500 nucleotide long, noncoding RNA (ncRNA) sequences that play an important role in regulating transcription and translation within a bacterial cell. As such, identifying sRNA sequences within an organism’s genome is essential to understand the impact o...

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Detalles Bibliográficos
Autores principales: Jha, Tony, Mendel, Jovinna, Cho, Hyuk, Choudhary, Madhusudan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397377/
https://www.ncbi.nlm.nih.gov/pubmed/36016866
http://dx.doi.org/10.1177/11779322221118335

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397377/
https://www.ncbi.nlm.nih.gov/pubmed/36016866
http://dx.doi.org/10.1177/11779322221118335

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