2018
DOI: 10.1101/291658
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EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences

Abstract: Next Generation Sequencing (NGS) technologies have led to a ubiquity of 13 molecular sequence data. This data avalanche is particularly challenging in metagenetics, 14 which focuses on taxonomic identification of sequences obtained from diverse microbial 15 environments. To achieve this, phylogenetic placement methods determine how these 16 sequences fit into an evolutionary context. Previous implementations of phylogenetic 17 placement algorithms, such as the Evolutionary Placement Algorithm (EPA) included… Show more

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Cited by 107 publications
(138 citation statements)
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“…Metagenomic functional abundances were predicted from 16S abundances using PICRUSt2 v2.1.0‐b (https://github.com/picrust/picrust2/wiki). Briefly, 16S ASVs inferred by DADA2 were aligned with HMMER (Eddy ) and placed in the provided reference tree using EPA‐ng and GAPPA (Barbera et al ). Gene family copy numbers were predicted for 16S as well as KEGG functions (i.e., EC and KO accessions) using Hidden State Prediction ( castor ; Louca and Doebeli ) based on 16S ASV abundances and phylogenetic proximity to reference taxa with available genomes.…”
Section: Methodsmentioning
confidence: 99%
“…Metagenomic functional abundances were predicted from 16S abundances using PICRUSt2 v2.1.0‐b (https://github.com/picrust/picrust2/wiki). Briefly, 16S ASVs inferred by DADA2 were aligned with HMMER (Eddy ) and placed in the provided reference tree using EPA‐ng and GAPPA (Barbera et al ). Gene family copy numbers were predicted for 16S as well as KEGG functions (i.e., EC and KO accessions) using Hidden State Prediction ( castor ; Louca and Doebeli ) based on 16S ASV abundances and phylogenetic proximity to reference taxa with available genomes.…”
Section: Methodsmentioning
confidence: 99%
“…The abundance of the Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology (KO) 53 in each sample was estimated by PICRUSt2. [54][55][56][57][58] In KEGG orthology set enrichment analysis (KOSEA), sets of KOs in the KEGG pathway database 53 were used as substitutes for sets of genes in the gene set enrichment analysis (GSEA). 59 See the Supporting Information Methods for details.…”
Section: Kyoto Encyclopedia Of Genes and Genomesmentioning
confidence: 99%
“…Next, a more stringent procedure was carried out, with the putative fish sequences extracted from this initial blast result subjected to a second blastn search, this time using our curated reference library of British Isles fishes as the blast database (same settings as the "nt" search but with '-word size 7'). The same reads were then run through the Evolutionary Placement Algorithm (EPA-ng v0.3.5, gappa v0.2.0; Barbera et al, 2018;Czech & Stamatakis, 2019…”
Section: Bioinformatic Processingmentioning
confidence: 99%