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
TLDR
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.Abstract:
QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and 1565057 to R.K. Partial support was also provided by the following: grants NIH U54CA143925 (J.G.C. and T.P.) and U54MD012388 (J.G.C. and T.P.); grants from the Alfred P. Sloan Foundation (J.G.C. and R.K.); ERCSTG project MetaPG (N.S.); the Strategic Priority Research Program of the Chinese Academy of Sciences QYZDB-SSW-SMC021 (Y.B.); the Australian National Health and Medical Research Council APP1085372 (G.A.H., J.G.C., Von Bing Yap and R.K.); the Natural Sciences and Engineering Research Council (NSERC) to D.L.G.; and the State of Arizona Technology and Research Initiative Fund (TRIF), administered by the Arizona Board of Regents, through Northern Arizona University. All NCI coauthors were supported by the Intramural Research Program of the National Cancer Institute. S.M.G. and C. Diener were supported by the Washington Research Foundation Distinguished Investigator Award.read more
Citations
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Journal ArticleDOI
IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.
Bui Quang Minh,Heiko A. Schmidt,Olga Chernomor,Dominik Schrempf,Dominik Schrempf,Michael D. Woodhams,Arndt von Haeseler,Arndt von Haeseler,Robert Lanfear +8 more
TL;DR: Some notable features of IQ-TREE version 2 are described and the key advantages over other software are highlighted.
Journal ArticleDOI
Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data.
TL;DR: This protocol details MicrobiomeAnalyst, a user-friendly, web-based platform for comprehensive statistical, functional, and meta-analysis of microbiome data, a one-stop shop that enables microbiome researchers to thoroughly explore their preprocessed microbiome data via intuitive web interfaces.
Journal ArticleDOI
Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients
Erez N. Baruch,Erez N. Baruch,Ilan Youngster,Guy Ben-Betzalel,Rona Ortenberg,Adi Lahat,Lior H. Katz,Katerina Adler,Daniela Dick-Necula,Stephen P. Raskin,Stephen P. Raskin,Naamah Bloch,Daniil Rotin,Liat Anafi,Camila Avivi,Jenny Melnichenko,Yael Steinberg-Silman,Ronac Mamtani,Hagit Harati,Nethanel Asher,Ronnie Shapira-Frommer,Tal Brosh-Nissimov,Yael Eshet,Yael Eshet,Shira Ben-Simon,Oren Ziv,Abdul Wadud Khan,Moran Amit,Nadim J. Ajami,Iris Barshack,Iris Barshack,Jacob Schachter,Jacob Schachter,Jennifer A. Wargo,Omry Koren,Gal Markel,Gal Markel,Ben Boursi,Ben Boursi,Ben Boursi +39 more
TL;DR: Treatment with FMT was associated with favorable changes in immune cell infiltrates and gene expression profiles in both the gut lamina propria and the tumor microenvironment, which have implications for modulating the gut microbiota in cancer treatment.
Journal ArticleDOI
Microbiome analyses of blood and tissues suggest cancer diagnostic approach
Gregory D. Poore,Evguenia Kopylova,Qiyun Zhu,Carolina S. Carpenter,Serena Fraraccio,Stephen Wandro,Tomasz Kosciolek,Tomasz Kosciolek,Stefan Janssen,Stefan Janssen,Jessica L. Metcalf,Se Jin Song,Jad N. Kanbar,Sandrine Miller-Montgomery,Robert K. Heaton,Rana R. McKay,Sandip Pravin Patel,Austin D. Swafford,Rob Knight +18 more
TL;DR: Microbial nucleic acids are detected in samples of tissues and blood from more than 10,000 patients with cancer, and machine learning is used to show that these can be used to discriminate between and among different types of cancer, suggesting a new microbiome-based diagnostic approach.
Journal ArticleDOI
Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with biobakery 3
Francesco Beghini,Lauren J. McIver,Aitor Blanco-Míguez,Leonard Dubois,Francesco Asnicar,Sagun Maharjan,Sagun Maharjan,Ana Mailyan,Ana Mailyan,Paolo Manghi,Matthias Scholz,Andrew Maltez Thomas,Mireia Valles-Colomer,George Weingart,George Weingart,Yancong Zhang,Yancong Zhang,Moreno Zolfo,Curtis Huttenhower,Curtis Huttenhower,Eric A. Franzosa,Eric A. Franzosa,Nicola Segata,Nicola Segata +23 more
TL;DR: BioBakery 3 as mentioned in this paper is a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available.
References
More filters
Journal ArticleDOI
Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
Patrick D. Schloss,Patrick D. Schloss,Sarah L. Westcott,Sarah L. Westcott,Thomas Ryabin,Justine R. Hall,Martin Hartmann,Emily B. Hollister,Ryan A. Lesniewski,Brian B. Oakley,Donovan H. Parks,Courtney J. Robinson,Jason W. Sahl,Blaz Stres,Gerhard G. Thallinger,David J. Van Horn,Carolyn F. Weber +16 more
TL;DR: M mothur is used as a case study to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the α and β diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments.
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
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Morgan G. I. Langille,Jesse R. Zaneveld,J. Gregory Caporaso,J. Gregory Caporaso,Daniel McDonald,Dan Knights,Joshua A Reyes,Jose C. Clemente,Deron E. Burkepile,Rebecca Vega Thurber,Rob Knight,Rob Knight,Robert G. Beiko,Curtis Huttenhower,Curtis Huttenhower +14 more
TL;DR: The results demonstrate that phylogeny and function are sufficiently linked that this 'predictive metagenomic' approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
Journal ArticleDOI
Orchestrating high-throughput genomic analysis with Bioconductor
Wolfgang Huber,Vincent J. Carey,Robert Gentleman,Simon Anders,Marc R. J. Carlson,Benilton S. Carvalho,Héctor Corrada Bravo,Sean Davis,Laurent Gatto,Thomas Girke,Raphael Gottardo,Florian Hahne,Kasper D. Hansen,Rafael A. Irizarry,Michael S. Lawrence,Michael I. Love,James W. MacDonald,Valerie Obenchain,Andrzej K. Oleś,Hervé Pagès,Alejandro Reyes,Paul Shannon,Gordon K. Smyth,Dan Tenenbaum,Levi Waldron,Martin Morgan +25 more
TL;DR: An overview of Bioconductor, an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology, which comprises 934 interoperable packages contributed by a large, diverse community of scientists.
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