aMeta: an accurate and memory-efficient ancient Metagenomic profiling workflow
Zoé Pochon, Nora Bergfeldt, Emrah Kırdök, Mário Vicente, Thijessen Naidoo, Tom van der Valk, N. Ezgi Altınışık, Maja Krzewińska, Love Dalén, Anders Götherström, Claudio Mirabello, Per Unneberg, Nikolay Oskolkov
aMeta is a metagenomic profiling workflow that improves accuracy and reduces memory usage in ancient microbiome analysis.
Genome biology · Oct 23, 2023Peer-reviewedBioinformatics