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ConvexML: Fast and Accurate Branch Length Estimation under Irreversible Mutation Models, Illustrated through Applications to CRISPR/Cas9-Based Lineage Tracing

Systematic Biology(2025)10.1093/sysbio/syaf054Source: DataRank Database

ConvexML: Fast and Accurate Branch Length Estimation under Irreversible Mutation Models, Illustrated through Applications to CRISPR/Cas9-Based Lineage Tracing is a research paper published in Systematic Biology (2025). On theSindex it has a DataRank of 0. It has been cited 6 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (11)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Akshay Ravoor ORCID,Nir Yosef ORCID,Yun S. Song ORCID,Sebastian Prillo ORCID

Live enrichment

PubMed:23304386

National Institutes of Health

Grant: R56-HG013117

National Institutes of Health

Grant: R01-HG013117

ERC

Grant: 101089213

High throughput phylogeography of tumors: how the tissue environment influences cancer evolution?

National Institutes of Health

Grant: 1R56HG013117-01

Scalable Computational Methods for Genealogical Inference: from species level to single cells

greenLicense: other-oa

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12805672/

publisherhttps://academic.oup.com/sysbio/advance-article-pdf/doi/10.1093/sysbio/syaf054/63991494/syaf054.pdf

publisherhttps://academic.oup.com/sysbio/article-pdf/75/1/115/63991494/syaf054.pdf

https://doi.org/10.1093/sysbio/syaf054

https://doi.org/10.1101/2023.12.03.569785

Fields of Study

0206 medical engineering02 engineering and technology

Keywords

Models, GeneticMutationCell LineageCRISPR-Cas SystemsClassificationArticlePhylogenySoftwareResearch Article