ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
about
WebMGA: a customizable web server for fast metagenomic sequence analysisRemoving noise from pyrosequenced ampliconsConsiderations For Optimizing Microbiome Analysis Using a Marker GeneEnvironmental and Geographical Factors Structure Soil Microbial Diversity in New Caledonian Ultramafic Substrates: A Metagenomic ApproachResilience and receptivity worked in tandem to sustain a geothermal mat community amidst erratic environmental conditionsAirborne bacterial populations above desert soils of the McMurdo Dry Valleys, AntarcticaSequencing our way towards understanding global eukaryotic biodiversityRobust computational analysis of rRNA hypervariable tag datasetsImplications of pyrosequencing error correction for biological data interpretationDenoising PCR-amplified metagenome data.Analysis of metagenomic data containing high biodiversity levels.Assessing the consequences of denoising marker-based metagenomic data.Benthic microbial communities of coastal terrestrial and ice shelf Antarctic meltwater pondsIntegrating metagenomic and amplicon databases to resolve the phylogenetic and ecological diversity of the Chlamydiae.Ribosomal Database Project: data and tools for high throughput rRNA analysis.Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.CLUSTOM-CLOUD: In-Memory Data Grid-Based Software for Clustering 16S rRNA Sequence Data in the Cloud EnvironmentDADA2: High-resolution sample inference from Illumina amplicon data.MSClust: A Multi-Seeds based Clustering algorithm for microbiome profiling using 16S rRNA sequence.A high-throughput DNA sequence aligner for microbial ecology studiesIroning out the wrinkles in the rare biosphere through improved OTU clusteringVITCOMIC: visualization tool for taxonomic compositions of microbial communities based on 16S rRNA gene sequences.The effects of alignment quality, distance calculation method, sequence filtering, and region on the analysis of 16S rRNA gene-based studies.Advanced computational algorithms for microbial community analysis using massive 16S rRNA sequence dataSecond-generation environmental sequencing unmasks marine metazoan biodiversity.The taxonomic and functional diversity of microbes at a temperate coastal site: a 'multi-omic' study of seasonal and diel temporal variation.From reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing dataA greedy alignment-free distance estimator for phylogenetic inference.Depicting more accurate pictures of protistan community complexity using pyrosequencing of hypervariable SSU rRNA gene regions.PhylOTU: a high-throughput procedure quantifies microbial community diversity and resolves novel taxa from metagenomic data.A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis.jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic unitsDiversity of bacteria at healthy human conjunctiva.Integrative Profiling of Bee Communities from Habitats of Tropical Southern Yunnan (China).Unraveling the stratification of an iron-oxidizing microbial mat by metatranscriptomics.Regime shift in sandy beach microbial communities following Deepwater Horizon oil spill remediation efforts.Fecal microbiota in premature infants prior to necrotizing enterocolitis.Metagenomics: Facts and Artifacts, and Computational Challenges*Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis.Molecular study of worldwide distribution and diversity of soil animals
P2860
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P2860
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@ast
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@en
type
label
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@ast
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@en
prefLabel
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@ast
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@en
P2093
P2860
P356
P1476
ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences.
@en
P2093
Michael L Farrell
William Farmerie
William McKendree
Yunpeng Cai
P2860
P356
10.1093/NAR/GKP285
P407
P577
2009-05-05T00:00:00Z