2016
DOI: 10.1101/084715
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Pavian: Interactive analysis of metagenomics data for microbiomics and pathogen identification

Abstract: Pavian is a web application for exploring metagenomics classification results, with a special focus on infectious disease diagnosis. Pinpointing pathogens in metagenomics classification results is often complicated by host and laboratory contaminants as well as many non-pathogenic microbiota. With Pavian, researchers can analyze, display and transform results from the Kraken and Centrifuge classifiers using interactive tables, heatmaps and flow diagrams. Pavian also provides an alignment viewer for validation … Show more

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Cited by 63 publications
(56 citation statements)
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“…The assembly was done with SPAdes v.3.6.0 option -meta (19). The alignments were visualized using Pavian (20). All available human hepegivirus-1 genome sequences were compared in SeaView (21); the multiple sequence analysis was done with Clustal Omega (22), and phylogeny reconstruction was done for NS5B sequences in MEGA7 using the Jukes-Cantor model and maximum likelihood algorithm with 1000 bootstrap replicates used to calculate branch strength(23).…”
Section: Methodsmentioning
confidence: 99%
“…The assembly was done with SPAdes v.3.6.0 option -meta (19). The alignments were visualized using Pavian (20). All available human hepegivirus-1 genome sequences were compared in SeaView (21); the multiple sequence analysis was done with Clustal Omega (22), and phylogeny reconstruction was done for NS5B sequences in MEGA7 using the Jukes-Cantor model and maximum likelihood algorithm with 1000 bootstrap replicates used to calculate branch strength(23).…”
Section: Methodsmentioning
confidence: 99%
“…Sunbeam's extension framework promotes reproducible analyses and greatly simplifies performing the same type of analysis on multiple datasets. Extension templates, as well as a number of pre-built extensions for metagenomic analysis and visualization software like Anvi'o [51], MetaPhlAn [49], and Pavian [55], are available on our GitHub page (https://github.com/sunbeam-labs).…”
Section: Resultsmentioning
confidence: 99%
“…We performed a taxonomic assignment of reads in each sample using the Centrifuge metagenome classifier Version 1.0.3 together with its associated p+h+v database [43]. Centrifuge reports were converted to Kraken-style reports using Centrifuge’s kreport parameter and Pavian was used to visualize the reports [44]. Taxa with a relative abundance of <5% were discarded as potential kit contaminants and we then evaluated the reports for the presence of potential pathogens and endosymbionts.…”
Section: Methodsmentioning
confidence: 99%