Paper of possible interest: KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples

This may be of interest to people out there.  Source: KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples | mSystems Abstract: Microbiome analyses of low-biomass samples are challenging because of contamination and inefficiencies, leading many investigators to employ low-throughput methods with minimal controls. We developed a new automated protocol, KatharoSeq (from the Greek katharos [clean]), …

Nice title, nice paper: Microbiome Datasets Are Compositional: And This Is Not Optional 

This seems like it is a must read for anyone working on microbiomes: Frontiers | Microbiome Datasets Are Compositional: And This Is Not Optional | Microbiology Gloor GB, Macklaim JM, Pawlowsky-Glahn V and Egozcue JJ (2017) Microbiome Datasets Are Compositional: And This Is Not Optional. Front. Microbiol. 8:2224. doi: 10.3389/fmicb.2017.02224 Summary from the paper: Datasets …

Paper of interest comparing taxonomies of SILVA, RDP, Greengenes, NCBI and OTT 

Just a quick post here.  There is a paper of interest I thought I would call attention to: Source: SILVA, RDP, Greengenes, NCBI and OTT — how do these taxonomies compare? | BMC Genomics  by Monika Balvočiūtė and Daniel H. Huson Abstract: Background A key step in microbiome sequencing analysis is read assignment to taxonomic units. …