A sparse covarying unit that describes healthy and impaired human gut microbiota development

Inverse statistical physics of protein sequences: a key issues review

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The effects of micronutrient deficiencies on bacterial species from the human gut microbiota

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Disentangling Interactions in the Microbiome: A Network Perspective

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Origins of Allostery and Evolvability in Proteins: A Case Study

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Sialylated Milk Oligosaccharides Promote Microbiota-Dependent Growth in Models of Infant Undernutrition

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Correlation detection strategies in microbial data sets vary widely in sensitivity and precision

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DADA2: High-resolution sample inference from Illumina amplicon data

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Metabolic dependencies drive species co-occurrence in diverse microbial communities

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Sparse and Compositionally Robust Inference of Microbial Ecological Networks

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Prokka: rapid prokaryotic genome annotation

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The MAL-ED Study: A Multinational and Multidisciplinary Approach to Understand the Relationship Between Enteric Pathogens, Malnutrition, Gut Physiology, Physical Growth, Cognitive Development, and Immune Responses in Infants and Children Up to 2 Years of Age in Resource-Poor Environments

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Persistent gut microbiota immaturity in malnourished Bangladeshi children

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The Ecology of Collective Behavior

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Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible

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The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)

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Contingency and Statistical Laws in Replicate Microbial Closed Ecosystems

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Human gut microbiome viewed across age and geography

(2012) Tanya Yatsunenko et al.   NATURE

Microbial interactions: from networks to models

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Microbial Co-occurrence Relationships in the Human Microbiome

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Inferring Correlation Networks from Genomic Survey Data

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Direct-coupling analysis of residue coevolution captures native contacts across many protein families

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Extensive personal human gut microbiota culture collections characterized and manipulated in gnotobiotic mice

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Mutational robustness can facilitate adaptation

(2010) Jeremy A. Draghi et al.   NATURE

QIIME allows analysis of high-throughput community sequencing data

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Protein Sectors: Evolutionary Units of Three-Dimensional Structure

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