Hi @biobiu,
Yes, the phyloseq R package performs alpha- and beta-diversity metrics based on absolute read-abundance such as Shannon diversity (alpha) and Bray-Curtis dissimilarity (beta). There is also another R package that is useful to determine rarefaction curves and perform several alpha- and beta-diversity analyses, that is vegan (in this page you can found the link). But several amplicon marker gene pipelines have their own methods implemented, such as mothur, UPARSE and QIIME2 as well several statistical methods implemented. The advantage of using these is that you can perform upstream, ie, processing your sequence reads until get an OTU/ASV table, and downstream, ie, alpha- and beta-diversity, data analyses.
My general recommendation would be:
(1) for beta-diversity: transform your data (other than rarefying at even sampling depth), z-scores, clr and so on;
(2) use phylogenetic metrics instead traditional macro-ecology metrics, such as Shannon and Bray-Curtis, such as Phylogenetic Diversity (for alpha) and Unifrac;
(3) keep in mind that sequencing data is compositional, ie, you can't measure the real number of molecules, only their relative contribution, and, therefore, it is useless using Shannon, Bray-Curtis and so on, ie, metrics that rely on absolute abundances (please read some papers about: https://www.frontiersin.org/articles/10.3389/fmicb.2017.02224/full ).
I hope this helps.
Sincerely,
António