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Assessment of statistical methods from single cell, bulk RNA-seq and metagenomics applied to microbiome data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.15.907964Source: DataRank Database

Assessment of statistical methods from single cell, bulk RNA-seq and metagenomics applied to microbiome data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (19)IDs (PubMed)

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Authors (5)

Chiara Romualdi ORCID,Levi Waldron ORCID,Davide Risso ORCID,Nicola Vitulo ORCID,Matteo Calgaro ORCID

Live enrichment

PubMed:21097893

Ministero dell'Istruzione dell'Università e della Ricerca

Grant: unidentified

unidentified

National Institutes of Health

Grant: 3U24CA180996-10S1

Cancer Genomics: Integrative and Scalable Solutions in R/Bioconductor

National Institutes of Health

Grant: 1U01CA230551-01A1

Exploiting public metagenomic data to uncover cancer-microbiome relationships

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/06/03/2020.01.15.907964.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.01.15.907964

https://doi.org/10.1186/s13059-020-02104-1

https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-020-02104-1

https://doi.org/10.1101/2020.01.15.907964

Fields of Study

0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciences

Keywords

Single-cellQH301-705.5Sequence Analysis, RNAResearchMicrobiotaStatistics as TopicQH426-470BenchmarkDifferential abundanceGeneticsHumansMicrobiomeMetagenomicsBiology (General)Single-Cell Analysis