Quantitative mapping of heterochrony to species-specific phenotypes: supporting data and code

This record contains the datasets and analysis code supporting the submitted manuscript: Bourn et al. (2026). Quantitative mapping of heterochrony to species-specific phenotypes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19184404
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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article

Quantitative mapping of heterochrony to species-specific phenotypes: supporting data and code

Michael W. Dorrity, Jess J Bourn
Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics and Genomic Networks
article

Quantitative mapping of heterochrony to species-specific phenotypes: supporting data and code

Michael W. Dorrity, Jess J Bourn
article en

Abstract

This record contains the datasets and analysis code supporting the submitted manuscript: Bourn et al. (2026). Quantitative mapping of heterochrony to species-specific phenotypes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Bioinformatics and Genomic Networks
DOIOpen Access PDFOpenAlex
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Quantitative mapping of heterochrony to species-specific phenotypes: supporting data and code — Michael W. Dorrity, Jess J Bourn · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS