Reconciliation Revisited: Handling Multiple Optima when Reconciling with Duplication, Transfer, and Loss-Reference-Cited by-同舟云学术

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Reconciliation Revisited: Handling Multiple Optima when Reconciling with Duplication, Transfer, and Loss

Published:2013-10 Issue:10 Volume:20 Page:738-754
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Bansal Mukul S.¹,Alm Eric J.²³,Kellis Manolis¹³

Affiliation:

1. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.

2. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts.

3. Broad Institute of MIT and Harvard, Cambridge, Massachusetts.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2013.0073

Reference37 articles.

1. Efficient algorithms for the reconciliation problem with gene duplication, horizontal transfer and loss

2. Reconciling a gene tree to a species tree under the duplication cost model

3. Genome-Scale Phylogenetics: Inferring the Plant Tree of Life from 18,896 Gene Trees

4. Jungles: a new solution to the host/parasite phylogeny reconciliation problem

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1. Investigating Additive and Replacing Horizontal Gene Transfers Using Phylogenies and Whole Genomes;Genome Biology and Evolution;2024-08-20

2. Pairwise Distances and the Problem of Multiple Optima;Journal of Computational Biology;2024-07-01

3. Generalizing the Domain-Gene-Species Reconciliation Framework to Microbial Genes and Domains;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-11

4. A complete theoretical framework for inferring horizontal gene transfers using partial order sets;PLOS ONE;2023-03-24

5. virDTL: Viral Recombination Analysis Through Phylogenetic Reconciliation and Its Application to Sarbecoviruses and SARS-CoV-2;Journal of Computational Biology;2023-01-01

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