aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow

Analysis of microbial data from archaeological samples is a growing field with great potential for understanding ancient environments, lifestyles, and diseases. However, high error rates have been a challenge in ancient metagenomics, and the availability of computational frameworks that meet the dem...

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Detalles Bibliográficos
Autores principales: Pochon, Zoé, Bergfeldt, Nora, Kırdök, Emrah, Vicente, Mário, Naidoo, Thijessen, van der Valk, Tom, Altınışık, N. Ezgi, Krzewińska, Maja, Dalén, Love, Götherström, Anders, Mirabello, Claudio, Unneberg, Per, Oskolkov, Nikolay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591440/
https://www.ncbi.nlm.nih.gov/pubmed/37872569
http://dx.doi.org/10.1186/s13059-023-03083-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591440/
https://www.ncbi.nlm.nih.gov/pubmed/37872569
http://dx.doi.org/10.1186/s13059-023-03083-9

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