QT-GILD: Quartet based gene tree imputation using deep learning improves phylogenomic analyses despite missing data

DOI10.1007/978-3-031-04749-7_10zbMath1496.92060OpenAlexW4285141550MaRDI QIDQ2170142

Rezwana Reaz, Shashata Sawmya, M. Sohel Rahman, Md. Shamsuzzoha Bayzid, Arpita Saha, Sazan Mahbub

Publication date: 30 August 2022

Full work available at URL: https://doi.org/10.1007/978-3-031-04749-7_10

zbMATH Keywords

missing dataincomplete lineage sortingspecies treedeep learninggene treegene tree discordancephylogenomic analysis

Mathematics Subject Classification ID

Problems related to evolution (92D15) Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

QT-GILD

Uses Software

• ASTRAL-II
• GitHub
• STEM-hy
• BUCKy
• ASTRID
• OCTAL
• Quartets MaxCut
• DynaDup
• wQFM

Cites Work

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• Comparison of phylogenetic trees
• The probability of topological concordance of gene trees and species trees.
• Optimal Completion of Incomplete Gene Trees in Polynomial Time Using OCTAL
• Likelihood-based tree reconstruction on a concatenation of aligned sequence data sets can be statistically inconsistent

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