Gregory B. Gloor

发表

Using information theory to search for co-evolving residues in proteins

L. C. Martin, Gregory B. Gloor, S. D. Dunn, 2005, Bioinform..

Mutual information is critically dependent on prior assumptions: would the correct estimate of mutual information please identify itself?

Gregory B. Gloor, Andrew D. Fernandes, 2010, Bioinform..

Compositional uncertainty should not be ignored in high-throughput sequencing data analysis

Gregory B. Gloor, Michael Vu, Jean M. Macklaim, 2016 .

omicplotR: visualizing omic datasets as compositions

Gregory B. Gloor, Jean M. Macklaim, Daniel J. Giguere, 2019, BMC Bioinformatics.

Mutual information is critically dependent on prior assumptions: would the correct estimate of mutual information please identify itself?

Gregory B. Gloor, Andrew D. Fernandes, 2010, Bioinform..

Estimating the evidence of selection and the reliability of inference in unigenic evolution

Gregory B. Gloor, Lindi M. Wahl, Andrew D. Fernandes, 2010, Algorithms for Molecular Biology.

Displaying Variation in Large Datasets: Plotting a Visual Summary of Effect Sizes

Gregory B. Gloor, Andrew D. Fernandes, Jean M. Macklaim, 2016 .

Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction

Gregory B. Gloor, S. D. Dunn, Lindi M. Wahl, 2008, Bioinform..

XORRO: Rapid Paired-End Read Overlapper

Gregory B. Gloor, Russell J. Dickson, G. Gloor, 2013, 1304.4620.

Editorial: Compositional data analysis and related methods applied to genomics—a first special issue from NAR Genomics and Bioinformatics

Gregory B. Gloor, Thomas P. Quinn, Ionas Erb, 2020, NAR genomics and bioinformatics.

Post-acquisition filtering of salt cluster artefacts for LC-MS based human metabolomic studies

Gregory B. Gloor, Amy McMillan, Justin B. Renaud, 2016, Journal of Cheminformatics.

The MIp Toolset: an efficient algorithm for calculating Mutual Information in protein alignments

Gregory B. Gloor, Russell J. Dickson, 2013 .

Finding the Centre: Compositional Asymmetry in High-Throughput Sequencing Datasets

Gregory B. Gloor, Jean M. Macklaim, Jia R. Wu, 2021, Advances in Compositional Data Analysis.

Linear association in compositional data analysis

Gregory B. Gloor, Vera Pawlowsky-Glahn, Juan José Egozcue, 2018 .

A new genomic blueprint of the human gut microbiota

Robert D. Finn, Gregory B. Gloor, Alex L. Mitchell, 2019, Nature.

Deep Sequencing of the Vaginal Microbiota of Women with HIV

Gregory B. Gloor, Andrew D. Fernandes, Jean M. Macklaim, 2010, PloS one.

Identifying and Seeing beyond Multiple Sequence Alignment Errors Using Intra-Molecular Protein Covariation

Gregory B. Gloor, Lindi M. Wahl, Andrew D. Fernandes, 2010, PloS one.

A unified genetic, computational and experimental framework identifies functionally relevant residues of the homing endonuclease I-BmoI

Gregory B. Gloor, Andrew D. Fernandes, Benjamin P. Kleinstiver, 2010, Nucleic acids research.

Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data.

Gregory B. Gloor, Gregor Reid, G. Gloor, 2016, Canadian journal of microbiology.

The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young

Gregory B. Gloor, Wei Zhang, Changsheng Jia, 2017, mSphere.

Metabolic derangements identified through untargeted metabolomics in a cross-sectional study of Nigerian children with severe acute malnutrition

Gregory B. Gloor, Gregor Reid, Adebola E. Orimadegun, 2016, Metabolomics.