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Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling

Cell Systems(2022)10.1016/j.cels.2022.06.007Source: DataRank Database

Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling is a research paper published in Cell Systems (2022). On theSindex it has a DataRank of 0. It has been cited 12 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: greenTopics (21)IDs (PubMed, PMC)

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Authors (4)

Shahab Sarmashghi ORCID,Vineet Bafna ORCID,Siavash Mirarab ORCID,Eleonora Rachtman ORCID

Live enrichment

PubMed:36265468 PMC:PMC9589918

National Science Foundation

Grant: IIS-1815485

National Institutes of Health

Grant: 1R35GM142725

National Institutes of Health

Grant: ACI-1548562

NIGMS NIH HHS

Grant: R35 GM142725

National Science Foundation

Grant: 1815485

III: Small: New algorithms for genome skimming and its applications

National Institutes of Health

Grant: 3R35GM142725-02S2

Biology-aware machine learning methods for characterizing microbiome genotype and phenotype

greenLicense: Elsevier Non-Commercial

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9589918

publisherhttps://api.elsevier.com/content/article/PII:S2405471222002770?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2405471222002770?httpAccept=text/plain

https://doi.org/10.1016/j.cels.2022.06.007

https://pubmed.ncbi.nlm.nih.gov/36265468

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

UncertaintySequence AlignmentPhylogenyGenomeAlgorithms

Keywords

Uncertainty QuantificationGenome SkimmingGenomic DistanceStatistical Branch SupportPhylogenetic UncertaintyAssembly-free And Alignment-free Distance CalculationK-mer-based Distance CalculationData SubsamplingGenomeUncertaintySequence AlignmentPhylogenyAlgorithms