Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790804583> ?p ?o ?g. }
- W2790804583 abstract "ABSTRACT The advent of affordable high-throughput DNA sequencing has opened up a golden age of studies in the human microbiome. In order to understand the role of the human microbiota, standardized methods for large-scale, population-level studies are needed to avoid underpowered or poorly designed studies. The biggest bottlenecks to population-level microbiomics are sample collection, storage and DNA extraction. Here, we describe a flexible automated approach to process intestinal biopsies, fecal samples and vaginal swabs from sample collection to OTU table. We have evaluated storage conditions, DNA extraction methods, PCR strategies and bioinformatic pipelines for these three sample types, and present here a set of guidelines and best practices for each of these steps." @default.
- W2790804583 created "2018-03-29" @default.
- W2790804583 creator A5003460678 @default.
- W2790804583 creator A5031397535 @default.
- W2790804583 creator A5054167098 @default.
- W2790804583 creator A5058503875 @default.
- W2790804583 creator A5068987776 @default.
- W2790804583 creator A5077363763 @default.
- W2790804583 creator A5083538823 @default.
- W2790804583 date "2018-03-21" @default.
- W2790804583 modified "2023-10-04" @default.
- W2790804583 title "A comprehensive automated pipeline for human microbiome sampling, 16S rRNA gene sequencing and bioinformatics processing" @default.
- W2790804583 cites W1507988383 @default.
- W2790804583 cites W1545338289 @default.
- W2790804583 cites W1679625911 @default.
- W2790804583 cites W1807343300 @default.
- W2790804583 cites W1846216853 @default.
- W2790804583 cites W1948266836 @default.
- W2790804583 cites W1971566004 @default.
- W2790804583 cites W1972061352 @default.
- W2790804583 cites W1991521547 @default.
- W2790804583 cites W1999713271 @default.
- W2790804583 cites W2019477256 @default.
- W2790804583 cites W2026677149 @default.
- W2790804583 cites W2027297424 @default.
- W2790804583 cites W2027946048 @default.
- W2790804583 cites W2046586444 @default.
- W2790804583 cites W2079520182 @default.
- W2790804583 cites W2094499690 @default.
- W2790804583 cites W2105368763 @default.
- W2790804583 cites W2114392707 @default.
- W2790804583 cites W2115701239 @default.
- W2790804583 cites W2124351063 @default.
- W2790804583 cites W2131892447 @default.
- W2790804583 cites W2136899564 @default.
- W2790804583 cites W2151350595 @default.
- W2790804583 cites W2152751713 @default.
- W2790804583 cites W2162578061 @default.
- W2790804583 cites W2167415413 @default.
- W2790804583 cites W2334882320 @default.
- W2790804583 cites W2335909841 @default.
- W2790804583 cites W2384524327 @default.
- W2790804583 cites W2401404581 @default.
- W2790804583 cites W2538509698 @default.
- W2790804583 cites W2606802599 @default.
- W2790804583 cites W2611324209 @default.
- W2790804583 cites W2751013971 @default.
- W2790804583 cites W4247991034 @default.
- W2790804583 cites W778562142 @default.
- W2790804583 doi "https://doi.org/10.1101/286526" @default.
- W2790804583 hasPublicationYear "2018" @default.
- W2790804583 type Work @default.
- W2790804583 sameAs 2790804583 @default.
- W2790804583 citedByCount "16" @default.
- W2790804583 countsByYear W27908045832018 @default.
- W2790804583 countsByYear W27908045832019 @default.
- W2790804583 countsByYear W27908045832020 @default.
- W2790804583 countsByYear W27908045832021 @default.
- W2790804583 countsByYear W27908045832022 @default.
- W2790804583 countsByYear W27908045832023 @default.
- W2790804583 crossrefType "posted-content" @default.
- W2790804583 hasAuthorship W2790804583A5003460678 @default.
- W2790804583 hasAuthorship W2790804583A5031397535 @default.
- W2790804583 hasAuthorship W2790804583A5054167098 @default.
- W2790804583 hasAuthorship W2790804583A5058503875 @default.
- W2790804583 hasAuthorship W2790804583A5068987776 @default.
- W2790804583 hasAuthorship W2790804583A5077363763 @default.
- W2790804583 hasAuthorship W2790804583A5083538823 @default.
- W2790804583 hasBestOaLocation W27908045831 @default.
- W2790804583 hasConcept C104317684 @default.
- W2790804583 hasConcept C143121216 @default.
- W2790804583 hasConcept C15151743 @default.
- W2790804583 hasConcept C185592680 @default.
- W2790804583 hasConcept C198531522 @default.
- W2790804583 hasConcept C199360897 @default.
- W2790804583 hasConcept C2522767166 @default.
- W2790804583 hasConcept C2908647359 @default.
- W2790804583 hasConcept C41008148 @default.
- W2790804583 hasConcept C43521106 @default.
- W2790804583 hasConcept C43617362 @default.
- W2790804583 hasConcept C49105822 @default.
- W2790804583 hasConcept C51679486 @default.
- W2790804583 hasConcept C54355233 @default.
- W2790804583 hasConcept C60644358 @default.
- W2790804583 hasConcept C70721500 @default.
- W2790804583 hasConcept C71924100 @default.
- W2790804583 hasConcept C78063203 @default.
- W2790804583 hasConcept C86803240 @default.
- W2790804583 hasConcept C91478284 @default.
- W2790804583 hasConcept C99454951 @default.
- W2790804583 hasConceptScore W2790804583C104317684 @default.
- W2790804583 hasConceptScore W2790804583C143121216 @default.
- W2790804583 hasConceptScore W2790804583C15151743 @default.
- W2790804583 hasConceptScore W2790804583C185592680 @default.
- W2790804583 hasConceptScore W2790804583C198531522 @default.
- W2790804583 hasConceptScore W2790804583C199360897 @default.
- W2790804583 hasConceptScore W2790804583C2522767166 @default.
- W2790804583 hasConceptScore W2790804583C2908647359 @default.
- W2790804583 hasConceptScore W2790804583C41008148 @default.
- W2790804583 hasConceptScore W2790804583C43521106 @default.