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Gregory B Gloor on Muck Rack

Gregory B Gloor

London
As seen in: Nature, The Globe and Mail, BioRxiv
biochemist and computational biologist interested in protein evolution and microbiota composition. it’s likely we are all doing it wrong. tweets are my opinion
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Articles

Explicit Scale Simulation for analysis of RNA-sequencing with ALDEx2

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By Gregory B Gloor, Michelle Nixon, Justin Silverman
| BioRxiv
Abstract In high-throughput sequencing (HTS) studies, sample-to-sample variation in sequencing depth is driven by technical factors, and not by variation in the scale (e.g., total size, microbial load, or total mRNA expression) of the underlying biological systems.
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Vaginal metatranscriptome meta-analysis reveals functional BV subgroups and novel colonisation strategies

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By Jean M. Macklaim, Gregor Reid, Gregory B Gloor, Clara Copeland
| BioRxiv
Abstract The application of '-omics' technologies to study bacterial vaginosis (BV) has uncovered vast differences in composition and scale between the vaginal microbiomes of healthy and BV patients.
Open in Who Shared Issue with article?

Beyond Normalization: Incorporating Scale Uncertainty in Microbiome and Gene Expression Analysis

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By Michelle Nixon, Gregory B Gloor, Justin Silverman
| BioRxiv
Abstract Though statistical normalizations are often used in differential abundance or differential expression analysis to address sample-to-sample variation in sequencing depth, we offer a better alternative. These normalizations often make strong, implicit assumptions about the scale of biological systems (e.g., microbial load). Thus, analyses are susceptible to even slight errors in these assumptions, leading to elevated rates of false positives and false negatives.
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