98%
921
2 minutes
20
The tree of blobs of a species network shows only the tree-like aspects of relationships of taxa on a network, omitting information on network substructures where hybridization or other types of lateral transfer of genetic information occur. By isolating such regions of a network, inference of the tree of blobs can serve as a starting point for a more detailed investigation, or indicate the limit of what may be inferrable without additional assumptions. Building on our theoretical work on the identifiability of the tree of blobs from gene quartet distributions under the Network Multispecies Coalescent model, we develop an algorithm, TINNiK, for statistically consistent tree of blobs inference. We provide examples of its application to both simulated and empirical datasets, utilizing an implementation in the MSCquartets 2.0 R package.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11539473 | PMC |
http://dx.doi.org/10.1186/s13015-024-00266-2 | DOI Listing |
Algorithms Mol Biol
July 2025
Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, USA.
Inference of a species network from genomic data remains a difficult problem, with recent progress mostly limited to the level-1 case. However, inference of the Tree of Blobs of a network, showing only the network's cut edges, can be performed for any network by TINNiK, suggesting a divide-and-conquer approach to network inference where the tree's multifurcations are individually resolved to give more detailed structure. Here we develop a method, , to quickly perform such a level-1 resolution.
View Article and Find Full Text PDFCogn Neuropsychol
July 2025
School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, Singleton Park, Swansea, UK.
We investigated visual working memory (VWM) for faces and two novel non-face pattern types (Blobs and Mondrians) in individuals with developmental prosopagnosia (DP) and age-matched controls. Participants completed both simultaneous and sequential encoding tasks, judging whether a probe item matched one shown at encoding. DPs showed a consistent face disadvantage across both encoding types, while controls showed a face advantage, but only during simultaneous encoding.
View Article and Find Full Text PDFAlgorithms Mol Biol
November 2024
Department of Mathematics and Statistics, University of Alaska, Fairbanks, AK, USA.
The tree of blobs of a species network shows only the tree-like aspects of relationships of taxa on a network, omitting information on network substructures where hybridization or other types of lateral transfer of genetic information occur. By isolating such regions of a network, inference of the tree of blobs can serve as a starting point for a more detailed investigation, or indicate the limit of what may be inferrable without additional assumptions. Building on our theoretical work on the identifiability of the tree of blobs from gene quartet distributions under the Network Multispecies Coalescent model, we develop an algorithm, TINNiK, for statistically consistent tree of blobs inference.
View Article and Find Full Text PDFPLoS One
May 2024
School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Meung, Patumthani, Thailand.
Diabetic retinopathy's signs, such as exudates (EXs) and aneurysms (ANs), initially develop from under the retinal surface detectable from optical coherence tomography (OCT) images. Detecting these signs helps ophthalmologists diagnose DR sooner. Detecting and segmenting exudates (EXs) and aneurysms (ANs) in medical images is challenging due to their small size, similarity to other hyperreflective regions, noise presence, and low background contrast.
View Article and Find Full Text PDFbioRxiv
April 2024
Department of Mathematics and Statistics, University of Alaska, Fairbanks, AK, USA.
The tree of blobs of a species network shows only the tree-like aspects of relationships of taxa on a network, omitting information on network substructures where hybridization or other types of lateral transfer of genetic information occur. By isolating such regions of a network, inference of the tree of blobs can serve as a starting point for a more detailed investigation, or indicate the limit of what may be inferrable without additional assumptions. Building on our theoretical work on the identifiability of the tree of blobs from gene quartet distributions under the Network Multispecies Coalescent model, we develop an algorithm, TINNiK, for statistically consistent tree of blobs inference.
View Article and Find Full Text PDF