Literature DB >> 32365167

SHOGUN: a modular, accurate and scalable framework for microbiome quantification.

Benjamin Hillmann1, Gabriel A Al-Ghalith2, Robin R Shields-Cutler3, Qiyun Zhu4, Rob Knight4,5,6, Dan Knights1,2,3.   

Abstract

SUMMARY: The software pipeline SHOGUN profiles known taxonomic and gene abundances of short-read shotgun metagenomics sequencing data. The pipeline is scalable, modular and flexible. Data analysis and transformation steps can be run individually or together in an automated workflow. Users can easily create new reference databases and can select one of three DNA alignment tools, ranging from ultra-fast low-RAM k-mer-based database search to fully exhaustive gapped DNA alignment, to best fit their analysis needs and computational resources. The pipeline includes an implementation of a published method for taxonomy assignment disambiguation with empirical Bayesian redistribution. The software is installable via the conda resource management framework, has plugins for the QIIME2 and QIITA packages and produces both taxonomy and gene abundance profile tables with a single command, thus promoting convenient and reproducible metagenomics research.
AVAILABILITY AND IMPLEMENTATION: https://github.com/knights-lab/SHOGUN.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 32365167      PMCID: PMC7359755          DOI: 10.1093/bioinformatics/btaa277

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  The human microbiome project.

Authors:  Peter J Turnbaugh; Ruth E Ley; Micah Hamady; Claire M Fraser-Liggett; Rob Knight; Jeffrey I Gordon
Journal:  Nature       Date:  2007-10-18       Impact factor: 49.962

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

Review 3.  Next generation sequencing technology: Advances and applications.

Authors:  H P J Buermans; J T den Dunnen
Journal:  Biochim Biophys Acta       Date:  2014-07-01

4.  KEGG for integration and interpretation of large-scale molecular data sets.

Authors:  Minoru Kanehisa; Susumu Goto; Yoko Sato; Miho Furumichi; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2011-11-10       Impact factor: 16.971

5.  RefSeq microbial genomes database: new representation and annotation strategy.

Authors:  Tatiana Tatusova; Stacy Ciufo; Boris Fedorov; Kathleen O'Neill; Igor Tolstoy
Journal:  Nucleic Acids Res       Date:  2013-12-06       Impact factor: 16.971

6.  Centrifuge: rapid and sensitive classification of metagenomic sequences.

Authors:  Daehwan Kim; Li Song; Florian P Breitwieser; Steven L Salzberg
Journal:  Genome Res       Date:  2016-10-17       Impact factor: 9.043

7.  UniProt: the universal protein knowledgebase.

Authors: 
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  An evaluation of the accuracy and speed of metagenome analysis tools.

Authors:  Stinus Lindgreen; Karen L Adair; Paul P Gardner
Journal:  Sci Rep       Date:  2016-01-18       Impact factor: 4.379

9.  Qiita: rapid, web-enabled microbiome meta-analysis.

Authors:  Antonio Gonzalez; Jose A Navas-Molina; Tomasz Kosciolek; Daniel McDonald; Yoshiki Vázquez-Baeza; Gail Ackermann; Jeff DeReus; Stefan Janssen; Austin D Swafford; Stephanie B Orchanian; Jon G Sanders; Joshua Shorenstein; Hannes Holste; Semar Petrus; Adam Robbins-Pianka; Colin J Brislawn; Mingxun Wang; Jai Ram Rideout; Evan Bolyen; Matthew Dillon; J Gregory Caporaso; Pieter C Dorrestein; Rob Knight
Journal:  Nat Methods       Date:  2018-10-01       Impact factor: 28.547

  9 in total
  11 in total

Review 1.  Novel directions of precision oncology: circulating microbial DNA emerging in cancer-microbiome areas.

Authors:  Liting You; Juan Zhou; Zhaodan Xin; J Spencer Hauck; Feifei Na; Jie Tang; Xiaohan Zhou; Zichen Lei; Binwu Ying
Journal:  Precis Clin Med       Date:  2022-02-03

2.  Gut microbial β-glucuronidases regulate host luminal proteases and are depleted in irritable bowel syndrome.

Authors:  Adam L Edwinson; Lu Yang; Stephanie Peters; Nikita Hanning; Patricio Jeraldo; Pratik Jagtap; Joshua B Simpson; Tzu-Yi Yang; Praveen Kumar; Subina Mehta; Asha Nair; Margaret Breen-Lyles; Lakshmikanth Chikkamenahalli; Rondell P Graham; Benedicte De Winter; Robin Patel; Surendra Dasari; Purna Kashyap; Timothy Griffin; Jun Chen; Gianrico Farrugia; Matthew R Redinbo; Madhusudan Grover
Journal:  Nat Microbiol       Date:  2022-04-28       Impact factor: 30.964

3.  Effects of 'Healthy' Fecal Microbiota Transplantation against the Deterioration of Depression in Fawn-Hooded Rats.

Authors:  Bing Hu; Promi Das; Xianglin Lv; Meng Shi; Jiye Aa; Kun Wang; Liping Duan; Jack A Gilbert; Yong Nie; Xiao-Lei Wu
Journal:  mSystems       Date:  2022-04-28       Impact factor: 7.324

4.  Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes.

Authors:  Lei Chen; Zhandong Li; Tao Zeng; Yu-Hang Zhang; Dejing Liu; Hao Li; Tao Huang; Yu-Dong Cai
Journal:  Front Mol Biosci       Date:  2020-11-04

5.  Links between gut microbiome composition and fatty liver disease in a large population sample.

Authors:  Matti O Ruuskanen; Fredrik Åberg; Ville Männistö; Aki S Havulinna; Guillaume Méric; Yang Liu; Rohit Loomba; Yoshiki Vázquez-Baeza; Anupriya Tripathi; Liisa M Valsta; Michael Inouye; Pekka Jousilahti; Veikko Salomaa; Mohit Jain; Rob Knight; Leo Lahti; Teemu J Niiranen
Journal:  Gut Microbes       Date:  2021 Jan-Dec

Review 6.  Challenges in Determining the Role of Microbiome Evolution in Barrett's Esophagus and Progression to Esophageal Adenocarcinoma.

Authors:  Caitlin Guccione; Rena Yadlapati; Shailja Shah; Rob Knight; Kit Curtius
Journal:  Microorganisms       Date:  2021-09-22

7.  Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy.

Authors:  Qiyun Zhu; Shi Huang; Antonio Gonzalez; Imran McGrath; Daniel McDonald; Niina Haiminen; George Armstrong; Yoshiki Vázquez-Baeza; Julian Yu; Justin Kuczynski; Gregory D Sepich-Poore; Austin D Swafford; Promi Das; Justin P Shaffer; Franck Lejzerowicz; Pedro Belda-Ferre; Aki S Havulinna; Guillaume Méric; Teemu Niiranen; Leo Lahti; Veikko Salomaa; Ho-Cheol Kim; Mohit Jain; Michael Inouye; Jack A Gilbert; Rob Knight
Journal:  mSystems       Date:  2022-04-04       Impact factor: 7.324

8.  Fecal microbiota transplant improves cognition in hepatic encephalopathy and its effect varies by donor and recipient.

Authors:  Patricia P Bloom; John Donlan; Mariam Torres Soto; Michael Daidone; Elizabeth Hohmann; Raymond T Chung
Journal:  Hepatol Commun       Date:  2022-04-05

9.  Translocation of Viable Gut Microbiota to Mesenteric Adipose Drives Formation of Creeping Fat in Humans.

Authors:  Connie W Y Ha; Anthony Martin; Gregory D Sepich-Poore; Baochen Shi; Yizhou Wang; Kenneth Gouin; Gregory Humphrey; Karenina Sanders; Yasiru Ratnayake; Kelvin S L Chan; Gustaf Hendrick; J R Caldera; Christian Arias; Jacob E Moskowitz; Shannan J Ho Sui; Shaohong Yang; David Underhill; Matthew J Brady; Simon Knott; Kelly Kaihara; Michael J Steinbaugh; Huiying Li; Dermot P B McGovern; Rob Knight; Phillip Fleshner; Suzanne Devkota
Journal:  Cell       Date:  2020-09-28       Impact factor: 41.582

10.  Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults.

Authors:  Matti O Ruuskanen; Pande P Erawijantari; Aki S Havulinna; Yang Liu; Guillaume Méric; Jaakko Tuomilehto; Michael Inouye; Pekka Jousilahti; Veikko Salomaa; Mohit Jain; Rob Knight; Leo Lahti; Teemu J Niiranen
Journal:  Diabetes Care       Date:  2022-04-01       Impact factor: 17.152

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