ArticleGenetics2004
Bayesian estimation of genomic distance.
Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Computing the family-free DCJ similarity.BMC bioinformatics · 2018Article
- Probabilistic modeling of the evolution of gene synteny within reconciled phylogenies.BMC bioinformatics · 2015Article
- Sampling and counting genome rearrangement scenarios.BMC bioinformatics · 2015Article
- Sampling solution traces for the problem of sorting permutations by signed reversals.Algorithms for molecular biology : AMB · 2012Article
- Efficient sampling of parsimonious inversion histories with application to genome rearrangement in Yersinia.Genome biology and evolution · 2009Article
- Estimating true evolutionary distances under the DCJ model.Bioinformatics (Oxford, England) · 2008Article
- Dependence of paracentric inversion rate on tract length.BMC bioinformatics · 2007Article
- Comparative genome analyses of Arabidopsis spp.: inferring chromosomal rearrangement events in the evolutionary history of A. thaliana.Genome research · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a Bayesian approach to the problem of inferring the number of inversions and translocations separating two species. The main reason for developing this method is that it will allow us to test hypotheses about the underlying mechanisms, such as the distribution of inversion track lengths or rate constancy among lineages. Here, we apply these methods to comparative maps of eggplant and tomato, human and cat, and human and cattle with 170, 269, and 422 markers, respectively. In the first case the most likely number of events is larger than the parsimony value. In the last two cases the parsimony solutions have very small probability.
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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.