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TreeSwift: A massively scalable Python tree package

SoftwareX(2020)10.1016/j.softx.2020.100436Source: DataRank Database

TreeSwift: A massively scalable Python tree package is a research paper published in SoftwareX (2020). On theSindex it has a DataRank of 0. It has been cited 41 times.

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Open Access41 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (34)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
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Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (1)

Niema Moshiri ORCID

Live enrichment

PubMed:35903557 PMC:PMC9328415 OpenAlex:https://openalex.org/W3009335848

NIAID NIH HHS

Grant: P30 AI036214

NCATS NIH HHS

Grant: UL1 TR001442

NIAID NIH HHS

Grant: P30 AI027767

National Institutes of Health

Grant: 5P30AI027767-28

UAB Center for AIDS Research

National Institutes of Health

goldLicense: cc-by

journalhttp://www.softxjournal.com/article/S2352711019300767/pdf

publisherhttp://www.softxjournal.com/article/S2352711019300767/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2352711019300767?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352711019300767?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.softx.2020.100436

Fields of Study

Genomics and Phylogenetic StudiesEvolution and Paleontology StudiesGenetic diversity and population structure0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Python (programming language)Computer scienceScalabilityPhylogenetic treeParsingR packageTree (set theory)Theoretical computer scienceProgramming languageBiologyMathematicsDatabasephylogeneticsPythonScalableTree TraversalEvolutionary Biology31 Biological Sciences (for-2020)3102 Bioinformatics and Computational Biology (for-2020)Bioinformatics and Computational BiologyBiological Sciences3105 Genetics (for-2020)Article004Computer SoftwareQA76.75-76.7650803 Computer Software (for)Genetics

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 6 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942589.v1figshare

Additional file 6 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 13 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 13 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Fast and Accurate Species Trees from Weighted Internode Distances

10.4230/lipics.wabi.2022.8Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Additional file 9 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942598.v1figshare

Additional file 9 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942598figshare

Additional file 8 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 11 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 7 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 5 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 5 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 4 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 12 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942607figshare

Additional file 2 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 1 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942574.v1figshare

Additional file 10 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

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Additional file 12 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942607.v1figshare

Additional file 8 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942595.v1figshare

Additional file 7 of Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections

10.6084/m9.figshare.26942592figshare