Literature DB >> 31553437

Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification.

Florian P Breitwieser1, Steven L Salzberg2.   

Abstract

SUMMARY: Pavian is a web application for exploring classification results from metagenomics experiments. With Pavian, researchers can analyze, visualize and transform results from various classifiers-such as Kraken, Centrifuge and MethaPhlAn-using interactive data tables, heatmaps and Sankey flow diagrams. An interactive alignment coverage viewer can help in the validation of matches to a particular genome, which can be crucial when using metagenomics experiments for pathogen detection.
AVAILABILITY AND IMPLEMENTATION: Pavian is implemented in the R language as a modular Shiny web app and is freely available under GPL-3 from http://github.com/fbreitwieser/pavian.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 31553437      PMCID: PMC8215911          DOI: 10.1093/bioinformatics/btz715

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


  9 in total

1.  D³: Data-Driven Documents.

Authors:  Michael Bostock; Vadim Ogievetsky; Jeffrey Heer
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-12       Impact factor: 4.579

2.  MetaPhlAn2 for enhanced metagenomic taxonomic profiling.

Authors:  Duy Tin Truong; Eric A Franzosa; Timothy L Tickle; Matthias Scholz; George Weingart; Edoardo Pasolli; Adrian Tett; Curtis Huttenhower; Nicola Segata
Journal:  Nat Methods       Date:  2015-10       Impact factor: 28.547

Review 3.  A review of methods and databases for metagenomic classification and assembly.

Authors:  Florian P Breitwieser; Jennifer Lu; Steven L Salzberg
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

4.  Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking.

Authors:  Paul J McMurdie; Susan Holmes
Journal:  Bioinformatics       Date:  2014-09-26       Impact factor: 6.937

5.  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

6.  Metaviz: interactive statistical and visual analysis of metagenomic data.

Authors:  Justin Wagner; Florin Chelaru; Jayaram Kancherla; Joseph N Paulson; Alexander Zhang; Victor Felix; Anup Mahurkar; Niklas Elmqvist; Héctor Corrada Bravo
Journal:  Nucleic Acids Res       Date:  2018-04-06       Impact factor: 16.971

7.  KrakenUniq: confident and fast metagenomics classification using unique k-mer counts.

Authors:  F P Breitwieser; D N Baker; S L Salzberg
Journal:  Genome Biol       Date:  2018-11-16       Impact factor: 13.583

8.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

9.  Next-generation sequencing in neuropathologic diagnosis of infections of the nervous system.

Authors:  Steven L Salzberg; Florian P Breitwieser; Anupama Kumar; Haiping Hao; Peter Burger; Fausto J Rodriguez; Michael Lim; Alfredo Quiñones-Hinojosa; Gary L Gallia; Jeffrey A Tornheim; Michael T Melia; Cynthia L Sears; Carlos A Pardo
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2016-06-13
  9 in total
  64 in total

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Authors:  J Philip Karl; Robyn A Barbato; Laurel A Doherty; Aarti Gautam; Sarah M Glaven; Robert J Kokoska; Dagmar Leary; Rebecca L Mickol; Matthew A Perisin; Andrew J Hoisington; Edward J Van Opstal; Vanessa Varaljay; Nancy Kelley-Loughnane; Camilla A Mauzy; Michael S Goodson; Jason W Soares
Journal:  Environ Microbiome       Date:  2020-07-13

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Authors:  Kylee M Sutton; Kevin K Lahmers; Seth P Harris; Hiruni R Wijesena; Benny E Mote; Stephen D Kachman; Tudor Borza; Daniel C Ciobanu
Journal:  J Anim Sci       Date:  2019-10-03       Impact factor: 3.159

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Authors:  Maja Zagorščak; Marko Petek
Journal:  Methods Mol Biol       Date:  2021

4.  Identification of protein-protected mRNA fragments and structured excised intron RNAs in human plasma by TGIRT-seq peak calling.

Authors:  Jun Yao; Douglas C Wu; Ryan M Nottingham; Alan M Lambowitz
Journal:  Elife       Date:  2020-09-02       Impact factor: 8.140

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Authors:  Miriam Bravo-Lopez; Viridiana Villa-Islas; Carolina Rocha Arriaga; Ana B Villaseñor-Altamirano; Axel Guzmán-Solís; Marcela Sandoval-Velasco; Julie K Wesp; Keitlyn Alcantara; Aurelio López-Corral; Jorge Gómez-Valdés; Elizabeth Mejía; Alberto Herrera; Alejandro Meraz-Moreno; Maria de la Luz Moreno-Cabrera; Andrés Moreno-Estrada; Maria A Nieves-Colón; Joel Olvera; Julia Pérez-Pérez; Katrine Højholt Iversen; Simon Rasmussen; Karla Sandoval; Gabriela Zepeda; María C Ávila-Arcos
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-10-05       Impact factor: 6.237

6.  Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture.

Authors:  Rachel Gilroy; Anuradha Ravi; Maria Getino; Isabella Pursley; Daniel L Horton; Nabil-Fareed Alikhan; Dave Baker; Karim Gharbi; Neil Hall; Mick Watson; Evelien M Adriaenssens; Ebenezer Foster-Nyarko; Sheikh Jarju; Arss Secka; Martin Antonio; Aharon Oren; Roy R Chaudhuri; Roberto La Ragione; Falk Hildebrand; Mark J Pallen
Journal:  PeerJ       Date:  2021-04-06       Impact factor: 2.984

7.  Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.

Authors:  Kelsey T Young; Kevin K Lahmers; Holly S Sellers; David E Stallknecht; Rebecca L Poulson; Jerry T Saliki; Stephen Mark Tompkins; Ian Padykula; Chris Siepker; Elizabeth W Howerth; Michelle Todd; James B Stanton
Journal:  J Vet Diagn Invest       Date:  2020-12-24       Impact factor: 1.279

8.  Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces.

Authors:  Anna Cuscó; Daniel Pérez; Joaquim Viñes; Norma Fàbregas; Olga Francino
Journal:  BMC Genomics       Date:  2021-05-06       Impact factor: 3.969

9.  Characterization of Grapevine Wood Microbiome Through a Metatranscriptomic Approach.

Authors:  Marcos Paolinelli; Georgina Escoriaza; Cecilia Cesari; Sandra Garcia-Lampasona; Rufina Hernandez-Martinez
Journal:  Microb Ecol       Date:  2021-06-30       Impact factor: 4.552

10.  Using RNA-Sequencing Data to Examine Tissue-Specific Garlic Microbiomes.

Authors:  Yeonhwa Jo; Chang-Gi Back; Kook-Hyung Kim; Hyosub Chu; Jeong Hun Lee; Sang Hyun Moh; Won Kyong Cho
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