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
TLDR
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.Abstract:
We present the open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors (https://github.com/benjjneb/dada2). DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide. In several mock communities, DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.read more
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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.
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TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
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Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin
Nicholas A. Bokulich,Benjamin D. Kaehler,Jai Ram Rideout,Matthew R. Dillon,Evan Bolyen,Rob Knight,Gavin A. Huttley,J. Gregory Caporaso +7 more
TL;DR: The results illustrate the importance of parameter tuning for optimizing classifier performance, and the recommendations regarding parameter choices for these classifiers under a range of standard operating conditions are made.
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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.
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Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data.
Nicole M Davis,Diana M. Proctor,Diana M. Proctor,Susan Holmes,David A. Relman,David A. Relman,Benjamin J. Callahan +6 more
TL;DR: The application of decontam to two recently published datasets corroborated and extended their conclusions that little evidence existed for an indigenous placenta microbiome and that some low-frequency taxa seemingly associated with preterm birth were contaminants.
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