S
Susan Holmes
Researcher at Stanford University
Publications - 278
Citations - 58722
Susan Holmes is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 67, co-authored 253 publications receiving 35710 citations. Previous affiliations of Susan Holmes include University of Toronto & Imperial College London.
Papers
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Journal ArticleDOI
DADA2: High-resolution sample inference from Illumina amplicon data
Benjamin J. Callahan,Paul J. McMurdie,Michael J. Rosen,Andrew W. Han,Amy Jo A. Johnson,Susan Holmes +5 more
TL;DR: The open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors is presented, revealing a diversity of previously undetected Lactobacillus crispatus variants.
Journal ArticleDOI
phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.
Paul J. McMurdie,Susan Holmes +1 more
TL;DR: The phyloseq project for R is a new open-source software package dedicated to the object-oriented representation and analysis of microbiome census data in R, which supports importing data from a variety of common formats, as well as many analysis techniques.
Journal ArticleDOI
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Evan Bolyen,Jai Ram Rideout,Matthew R. Dillon,Nicholas A. Bokulich,Christian C. Abnet,Gabriel A. Al-Ghalith,Harriet Alexander,Harriet Alexander,Eric J. Alm,Manimozhiyan Arumugam,Francesco Asnicar,Yang Bai,Jordan E. Bisanz,Kyle Bittinger,Asker Daniel Brejnrod,Colin J. Brislawn,C. Titus Brown,Benjamin J. Callahan,Andrés Mauricio Caraballo-Rodríguez,John Chase,Emily K. Cope,Ricardo Silva,Christian Diener,Pieter C. Dorrestein,Gavin M. Douglas,Daniel M. Durall,Claire Duvallet,Christian F. Edwardson,Madeleine Ernst,Madeleine Ernst,Mehrbod Estaki,Jennifer Fouquier,Julia M. Gauglitz,Sean M. Gibbons,Sean M. Gibbons,Deanna L. Gibson,Antonio Gonzalez,Kestrel Gorlick,Jiarong Guo,Benjamin Hillmann,Susan Holmes,Hannes Holste,Curtis Huttenhower,Curtis Huttenhower,Gavin A. Huttley,Stefan Janssen,Alan K. Jarmusch,Lingjing Jiang,Benjamin D. Kaehler,Benjamin D. Kaehler,Kyo Bin Kang,Kyo Bin Kang,Christopher R. Keefe,Paul Keim,Scott T. Kelley,Dan Knights,Irina Koester,Tomasz Kosciolek,Jorden Kreps,Morgan G. I. Langille,Joslynn S. Lee,Ruth E. Ley,Ruth E. Ley,Yong-Xin Liu,Erikka Loftfield,Catherine A. Lozupone,Massoud Maher,Clarisse Marotz,Bryan D Martin,Daniel McDonald,Lauren J. McIver,Lauren J. McIver,Alexey V. Melnik,Jessica L. Metcalf,Sydney C. Morgan,Jamie Morton,Ahmad Turan Naimey,Jose A. Navas-Molina,Jose A. Navas-Molina,Louis-Félix Nothias,Stephanie B. Orchanian,Talima Pearson,Samuel L. Peoples,Samuel L. Peoples,Daniel Petras,Mary L. Preuss,Elmar Pruesse,Lasse Buur Rasmussen,Adam R. Rivers,Michael S. Robeson,Patrick Rosenthal,Nicola Segata,Michael Shaffer,Arron Shiffer,Rashmi Sinha,Se Jin Song,John R. Spear,Austin D. Swafford,Luke R. Thompson,Luke R. Thompson,Pedro J. Torres,Pauline Trinh,Anupriya Tripathi,Peter J. Turnbaugh,Sabah Ul-Hasan,Justin J. J. van der Hooft,Fernando Vargas,Yoshiki Vázquez-Baeza,Emily Vogtmann,Max von Hippel,William A. Walters,Yunhu Wan,Mingxun Wang,Jonathan Warren,Kyle C. Weber,Kyle C. Weber,Charles H. D. Williamson,Amy D. Willis,Zhenjiang Zech Xu,Jesse R. Zaneveld,Yilong Zhang,Qiyun Zhu,Rob Knight,J. Gregory Caporaso +123 more
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Journal ArticleDOI
Waste not, want not: why rarefying microbiome data is inadmissible.
Paul J. McMurdie,Susan Holmes +1 more
TL;DR: It is advocated that investigators avoid rarefying altogether and supported statistical theory is provided that simultaneously accounts for library size differences and biological variability using an appropriate mixture model.
Journal ArticleDOI
Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.
TL;DR: It is argued that the improvements in reusability, reproducibility and comprehensiveness are sufficiently great that ASVs should replace OTUs as the standard unit of marker-gene analysis and reporting.