Literature DB >> 31398336

Benchmarking Metagenomics Tools for Taxonomic Classification.

Simon H Ye1, Katherine J Siddle2, Daniel J Park3, Pardis C Sabeti4.   

Abstract

Metagenomic sequencing is revolutionizing the detection and characterization of microbial species, and a wide variety of software tools are available to perform taxonomic classification of these data. The fast pace of development of these tools and the complexity of metagenomic data make it important that researchers are able to benchmark their performance. Here, we review current approaches for metagenomic analysis and evaluate the performance of 20 metagenomic classifiers using simulated and experimental datasets. We describe the key metrics used to assess performance, offer a framework for the comparison of additional classifiers, and discuss the future of metagenomic data analysis.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31398336      PMCID: PMC6716367          DOI: 10.1016/j.cell.2019.07.010

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  63 in total

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Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Use of simulated data sets to evaluate the fidelity of metagenomic processing methods.

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Journal:  Nat Methods       Date:  2007-04-29       Impact factor: 28.547

3.  Bayesian community-wide culture-independent microbial source tracking.

Authors:  Dan Knights; Justin Kuczynski; Emily S Charlson; Jesse Zaneveld; Michael C Mozer; Ronald G Collman; Frederic D Bushman; Rob Knight; Scott T Kelley
Journal:  Nat Methods       Date:  2011-07-17       Impact factor: 28.547

4.  UniFrac: a new phylogenetic method for comparing microbial communities.

Authors:  Catherine Lozupone; Rob Knight
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

5.  Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment.

Authors:  Xochitl C Morgan; Timothy L Tickle; Harry Sokol; Dirk Gevers; Kathryn L Devaney; Doyle V Ward; Joshua A Reyes; Samir A Shah; Neal LeLeiko; Scott B Snapper; Athos Bousvaros; Joshua Korzenik; Bruce E Sands; Ramnik J Xavier; Curtis Huttenhower
Journal:  Genome Biol       Date:  2012-04-16       Impact factor: 13.583

6.  Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries.

Authors:  Daniel Aird; Michael G Ross; Wei-Sheng Chen; Maxwell Danielsson; Timothy Fennell; Carsten Russ; David B Jaffe; Chad Nusbaum; Andreas Gnirke
Journal:  Genome Biol       Date:  2011-02-21       Impact factor: 13.583

Review 7.  Viral infections of the lower respiratory tract: old viruses, new viruses, and the role of diagnosis.

Authors:  Andrew T Pavia
Journal:  Clin Infect Dis       Date:  2011-05       Impact factor: 9.079

8.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

9.  Database indexing for production MegaBLAST searches.

Authors:  Aleksandr Morgulis; George Coulouris; Yan Raytselis; Thomas L Madden; Richa Agarwala; Alejandro A Schäffer
Journal:  Bioinformatics       Date:  2008-06-21       Impact factor: 6.937

10.  Statistical methods for detecting differentially abundant features in clinical metagenomic samples.

Authors:  James Robert White; Niranjan Nagarajan; Mihai Pop
Journal:  PLoS Comput Biol       Date:  2009-04-10       Impact factor: 4.475

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  88 in total

Review 1.  Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit.

Authors:  Fernando Meyer; Till-Robin Lesker; David Koslicki; Adrian Fritz; Alexey Gurevich; Aaron E Darling; Alexander Sczyrba; Andreas Bremges; Alice C McHardy
Journal:  Nat Protoc       Date:  2021-03-01       Impact factor: 13.491

Review 2.  Emerging computational tools and models for studying gut microbiota composition and function.

Authors:  Seo-Young Park; Arinzechukwu Ufondu; Kyongbum Lee; Arul Jayaraman
Journal:  Curr Opin Biotechnol       Date:  2020-11-25       Impact factor: 9.740

3.  Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets.

Authors:  Yi Yue; Hao Huang; Zhao Qi; Hui-Min Dou; Xin-Yi Liu; Tian-Fei Han; Yue Chen; Xiang-Jun Song; You-Hua Zhang; Jian Tu
Journal:  BMC Bioinformatics       Date:  2020-07-28       Impact factor: 3.169

4.  Metagenomic comparison of gut communities between hawksbills (Eretmochelys imbricata) and green sea turtles (Chelonia mydas).

Authors:  Yuan Chen; Zhongrong Xia; Hongwei Li
Journal:  Arch Microbiol       Date:  2022-07-03       Impact factor: 2.552

5.  Taxonomic and Functional Shifts in the Sprout Spent Irrigation Water Microbiome in Response to Salmonella Contamination of Alfalfa Seeds.

Authors:  Jie Zheng; Elizabeth Reed; Padmini Ramachandran; Andrea Ottesen; Eric W Brown; Yu Wang
Journal:  Appl Environ Microbiol       Date:  2021-01-15       Impact factor: 4.792

6.  IDseq-An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring.

Authors:  Katrina L Kalantar; Tiago Carvalho; Charles F A de Bourcy; Boris Dimitrov; Greg Dingle; Rebecca Egger; Julie Han; Olivia B Holmes; Yun-Fang Juan; Ryan King; Andrey Kislyuk; Michael F Lin; Maria Mariano; Todd Morse; Lucia V Reynoso; David Rissato Cruz; Jonathan Sheu; Jennifer Tang; James Wang; Mark A Zhang; Emily Zhong; Vida Ahyong; Sreyngim Lay; Sophana Chea; Jennifer A Bohl; Jessica E Manning; Cristina M Tato; Joseph L DeRisi
Journal:  Gigascience       Date:  2020-10-15       Impact factor: 6.524

7.  Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3.

Authors:  Francesco Beghini; Lauren J McIver; Aitor Blanco-Míguez; Leonard Dubois; Francesco Asnicar; Sagun Maharjan; Ana Mailyan; Paolo Manghi; Matthias Scholz; Andrew Maltez Thomas; Mireia Valles-Colomer; George Weingart; Yancong Zhang; Moreno Zolfo; Curtis Huttenhower; Eric A Franzosa; Nicola Segata
Journal:  Elife       Date:  2021-05-04       Impact factor: 8.140

8.  Expanding the taxonomic range in the fecal metagenome.

Authors:  Theo R Allnutt; Alexandra J Roth-Schulze; Leonard C Harrison
Journal:  BMC Bioinformatics       Date:  2021-06-09       Impact factor: 3.169

9.  Taxonomic signatures of cause-specific mortality risk in human gut microbiome.

Authors:  Aaro Salosensaari; Ville Laitinen; Leo Lahti; Teemu Niiranen; Aki S Havulinna; Guillaume Meric; Susan Cheng; Markus Perola; Liisa Valsta; Georg Alfthan; Michael Inouye; Jeramie D Watrous; Tao Long; Rodolfo A Salido; Karenina Sanders; Caitriona Brennan; Gregory C Humphrey; Jon G Sanders; Mohit Jain; Pekka Jousilahti; Veikko Salomaa; Rob Knight
Journal:  Nat Commun       Date:  2021-05-11       Impact factor: 14.919

Review 10.  A practical guide to amplicon and metagenomic analysis of microbiome data.

Authors:  Yong-Xin Liu; Yuan Qin; Tong Chen; Meiping Lu; Xubo Qian; Xiaoxuan Guo; Yang Bai
Journal:  Protein Cell       Date:  2020-05-11       Impact factor: 14.870

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