ArticleJournal of computational biology : a journal of computational molecular cell biology2014
DrML: probabilistic modeling of gene duplications.
Article in Journal of computational biology : a journal of computational molecular cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- WGDTree: a phylogenetic software tool to examine conditional probabilities of retention following whole genome duplication events.BMC bioinformatics · 2022Article
- Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models.Journal of mathematical biology · 2020Article
- RecPhyloXML: a format for reconciled gene trees.Bioinformatics (Oxford, England) · 2018Article
- STRIDE: Species Tree Root Inference from Gene Duplication Events.Molecular biology and evolution · 2017Article
- The inference of gene trees with species trees.Systematic biology · 2015Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DrML is a software program for inferring evolutionary scenarios from a gene tree and a species tree with speciation time estimates that is based on a general maximum likelihood model. The program implements novel algorithms that efficiently infer most likely scenarios of gene duplication and loss events. Our comparative studies suggest that the general maximum likelihood model provides more credible estimates than standard parsimony reconciliation, especially when speciation times differ significantly. DrML is an open source project written in Python, and along with an on-line manual and sample data sets publicly available.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.