PICRUSt2 for prediction of metagenome functions von Douglas, Gavin M., Maffei, Vincent J., Zaneveld, Jesse R., Yurgel, Svetlana N., Brown, James R., Taylor, Christopher M., Huttenhower, Curtis, Langille, Morgan G. I.

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Microbiome differential abundance methods produce different results across 38 datasets von Nearing, Jacob T., Douglas, Gavin M., Hayes, Molly G., MacDonald, Jocelyn, Desai, Dhwani K., Allward, Nicole, Jones, Casey M. A., Wright, Robyn J., Dhanani, Akhilesh S., Comeau, André M., Langille, Morgan G. I.

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Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research von Comeau, André M, Douglas, Gavin M, Langille, Morgan G I

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The glutathione system and the related thiol network in Caenorhabditis elegans von Ferguson, Gavin Douglas, Bridge, Wallace John

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Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches von Nearing, Jacob T, Douglas, Gavin M, Comeau, André M, Langille, Morgan G I

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Current and Promising Approaches to Identify Horizontal Gene Transfer Events in Metagenomes von Douglas, Gavin M, Langille, Morgan G I

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Genotyping-by-sequencing of Canada’s apple biodiversity collection von Migicovsky, Zoë, Douglas, Gavin M., Myles, Sean

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Predicting the Functional Potential of the Microbiome from Marker Genes Using PICRUSt von Douglas, Gavin M., Beiko, Robert G., Langille, Morgan G. I.

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Efficient computation of contributional diversity metrics from microbiome data with FuncDiv von Douglas, Gavin M, Kim, Sunu, Langille, Morgan G I, Shapiro, B Jesse

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Hybrid origins and the earliest stages of diploidization in the highly successful recent polyploid Capsella bursa-pastoris von Douglas, Gavin M, Gos, Gesseca, Steige, Kim A, Salcedo, Adriana, Holm, Karl, Josephs, Emily B, Arunkumar, Ramesh, Ågren, J Arvid, Hazzouri, Khaled M, Wang, Wei, Platts, Adrian E, Williamson, Robert J, Neuffer, Barbara, Lascoux, Martin, Slotte, Tanja, Wright, Stephen I

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Genic Selection Within Prokaryotic Pangenomes von Douglas, Gavin M, Shapiro, B Jesse

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Integrating phylogenetic and functional data in microbiome studies von Douglas, Gavin M, Hayes, Molly G, Langille, Morgan G I, Borenstein, Elhanan

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Pseudogenes act as a neutral reference for detecting selection in prokaryotic pangenomes von Douglas, Gavin M., Shapiro, B. Jesse

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Dissecting Community Structure in Wild Blueberry Root and Soil Microbiome von Yurgel, Svetlana N, Douglas, Gavin M, Dusault, Ashley, Percival, David, Langille, Morgan G I

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Re-evaluating the relationship between missing heritability and the microbiome von Douglas, Gavin M, Bielawski, Joseph P, Langille, Morgan G I

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Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn's disease von Douglas, Gavin M, Hansen, Richard, Jones, Casey M A, Dunn, Katherine A, Comeau, André M, Bielawski, Joseph P, Tayler, Rachel, El-Omar, Emad M, Russell, Richard K, Hold, Georgina L, Langille, Morgan G I, Van Limbergen, Johan

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Metagenomic Functional Shifts to Plant Induced Environmental Changes von Yurgel, Svetlana N, Nearing, Jacob T, Douglas, Gavin M, Langille, Morgan G I

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Exploring the Link between Altitude of Residence and Smoking Patterns in the United States von Boxer, Danielle Jeanne-Marie, Sung, Young-Hoon, Nunez, Nicolas A, Fitzgerald, Colleen Elizabeth, Renshaw, Perry Franklin, Kondo, Douglas Gavin

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The human tumor microbiome is composed of tumor type-specific intracellular bacteria von Nejman, Deborah, Livyatan, Ilana, Fuks, Garold, Gavert, Nancy, Zwang, Yaara, Geller, Leore T, Rotter-Maskowitz, Aviva, Weiser, Roi, Mallel, Giuseppe, Gigi, Elinor, Meltser, Arnon, Douglas, Gavin M, Kamer, Iris, Gopalakrishnan, Vancheswaran, Dadosh, Tali, Levin-Zaidman, Smadar, Avnet, Sofia, Atlan, Tehila, Cooper, Zachary A, Arora, Reetakshi, Cogdill, Alexandria P, Khan, Md Abdul Wadud, Ologun, Gabriel, Bussi, Yuval, Weinberger, Adina, Lotan-Pompan, Maya, Golani, Ofra, Perry, Gili, Rokah, Merav, Bahar-Shany, Keren, Rozeman, Elisa A, Blank, Christian U, Ronai, Anat, Shaoul, Ron, Amit, Amnon, Dorfman, Tatiana, Kremer, Ran, Cohen, Zvi R, Harnof, Sagi, Siegal, Tali, Yehuda-Shnaidman, Einav, Gal-Yam, Einav Nili, Shapira, Hagit, Baldini, Nicola, Langille, Morgan G I, Ben-Nun, Alon, Kaufman, Bella, Nissan, Aviram, Golan, Talia, Dadiani, Maya, Levanon, Keren, Bar, Jair, Yust-Katz, Shlomit, Barshack, Iris, Peeper, Daniel S, Raz, Dan J, Segal, Eran, Wargo, Jennifer A, Sandbank, Judith, Shental, Noam, Straussman, Ravid

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Author Correction: Microbiome differential abundance methods produce different results across 38 datasets von Nearing, Jacob T., Douglas, Gavin M., Hayes, Molly G., MacDonald, Jocelyn, Desai, Dhwani K., Allward, Nicole, Jones, Casey M. A., Wright, Robyn J., Dhanani, Akhilesh S., Comeau, André M., Langille, Morgan G. I.

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