A Deep Clustering-based Novel Approach for Binning of Metagenomics Data

BACKGROUND: One major challenge in binning Metagenomics data is the limited availability of reference datasets, as only 1% of the total microbial population is yet cultured. This has given rise to the efficacy of unsupervised methods for binning in the absence of any reference datasets. OBJECTIVE: T...

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Detalles Bibliográficos
Autores principales: Madival, Sharanbasappa D., Mishra, Dwijesh Chandra, Sharma, Anu, Kumar, Sanjeev, Maji, Arpan Kumar, Budhlakoti, Neeraj, Sinha, Dipro, Rai, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2022
Materias:
Genetics & Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878855/
https://www.ncbi.nlm.nih.gov/pubmed/36778191
http://dx.doi.org/10.2174/1389202923666220928150100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878855/
https://www.ncbi.nlm.nih.gov/pubmed/36778191
http://dx.doi.org/10.2174/1389202923666220928150100

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