Author

Tony J. Lam

Indiana University Bloomington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:metagenomics· 3 Approach:statistical model· 3 Organism:bacteria (other)· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1

Frequent Co-Authors

Yuzhen YeiD· 4 shared Kate Mortensen· 1 shared Moses H. StamboulianiD· 1 shared Wontack Han· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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4 shared papersBioinformatics

Yuzhen YeORCID

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4 papers

Recent·Most cited

Meta-analysis of Microbiome Association Networks Reveal Patterns of Dysbiosis in Diseased Microbiomes

Tony J. Lam, Yuzhen Ye

The paper performs a meta-analysis of microbial association networks to identify dysbiosis patterns in diseased gut microbiomes, revealing network features that distinguish healthy from disease states.

Scientific Reports · Oct 19, 2022Peer-reviewedBioinformatics

Diversity and dynamics of the CRISPR-Cas systems associated with Bacteroides fragilis in human population

Tony J. Lam, Kate Mortensen, Yuzhen Ye

The paper analyzes CRISPR-Cas systems in Bacteroides fragilis genomes to understand their dynamics and adaptation in the human gut, revealing stable and dynamic spacer acquisition patterns and host-MGE interactions.

BMC Genomics · Aug 11, 2022Peer-reviewedBioinformatics

Pathway-based and phylogenetically adjusted quantification of metabolic interaction between microbial species

Tony J. Lam, Moses H. Stamboulian, Wontack Han, Yuzhen Ye

The paper develops a method to quantify metabolic interactions between microbial species while adjusting for phylogenetic relationships, revealing niche differentiation and habitat filtering in gut microbiomes.

PLoS Computational Biology · Oct 30, 2020Peer-reviewedBioinformatics

CRISPRs for strain tracking and its application to microbiota transplantation data analysis

Tony J. Lam, Yuzhen Ye

The paper develops CRISPRtrack, a pipeline using CRISPR spacer content to track donor strains in fecal microbiota transplantation and quantify microbiome similarity.

The CRISPR Journal · Feb 1, 2019Peer-reviewedBioinformatics