Who is Who in Phylogenetic Networks

Publications of Hadi Poormohammadi     Order by:   Type | Year

Associated keywords

explicit-network from-triplets heuristic level-k-phylogenetic-network phylogenetic-network phylogeny Program-Simplistic Program-TripNet reconstruction software

Article (Journal)

1 Hadi Poormohammadi and Mohsen Sardari Zarchi. Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets. In PLoS ONE, Vol. 15(9):e0227842.1-25, 2020. Keywords: explicit network, from triplets, heuristic, phylogenetic network, phylogeny, Program Simplistic, Program TripNet, reconstruction. Note: https://doi.org/10.1371/journal.pone.0227842.         2 Hadi Poormohammadi, Mohsen Sardari Zarchi and Hossein Ghaneai. NCHB: A method for constructing rooted phylogenetic networks from rooted triplets based on height function and binarization. In JTB, Vol. 489(110144), 2020. Keywords: explicit network, from triplets, heuristic, phylogenetic network, phylogeny, Program Simplistic, Program TripNet, reconstruction. Note: https://doi.org/10.1016/j.jtbi.2019.110144.         3 Mohammad Hossein Reyhani and Hadi Poormohammadi. RPNCH: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets based on Height Function. In Archives of Advances in Biosciences, Vol. 8(4):14-20, 2017. Keywords: explicit network, from triplets, heuristic, phylogenetic network, phylogeny, reconstruction. Note: http://journals.sbmu.ac.ir/jps/article/view/16707.         4 Hadi Poormohammadi, Changiz Eslahchi and Ruzbeh Tusserkani. TripNet: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets. In PLoS ONE, Vol. 9(9):e106531, 2014. Keywords: explicit network, from triplets, heuristic, level k phylogenetic network, phylogenetic network, phylogeny, Program TripNet, reconstruction, software. Note: http://arxiv.org/abs/1201.3722.         Toggle abstract "The problem of constructing an optimal rooted phylogenetic network from an arbitrary set of rooted triplets is an NP-hard problem. In this paper, we present a heuristic algorithm called TripNet, which tries to construct a rooted phylogenetic network with the minimum number of reticulation nodes from an arbitrary set of rooted triplets. Despite of current methods that work for dense set of rooted triplets, a key innovation is the applicability of TripNet to non-dense set of rooted triplets. We prove some theorems to clarify the performance of the algorithm. To demonstrate the efficiency of TripNet, we compared TripNet with SIMPLISTIC. It is the only available software which has the ability to return some rooted phylogenetic network consistent with a given dense set of rooted triplets. But the results show that for complex networks with high levels, the SIMPLISTIC running time increased abruptly. However in all cases TripNet outputs an appropriate rooted phylogenetic network in an acceptable time. Also we tetsed TripNet on the Yeast data. The results show that Both TripNet and optimal networks have the same clustering and TripNet produced a level-3 network which contains only one more reticulation node than the optimal network." 5 Hadi Poormohammadi and Changiz Eslahchi. Constructing Rooted Phylogenetic Networks from Triplets based on Height Function. In International Journal of Emerging Technology and Advanced Engineering, Vol. 2(7):389-393, 2012. Keywords: from triplets, heuristic, phylogenetic network, phylogeny, reconstruction. Note: http://www.ijetae.com/files/Volume2Issue7/IJETAE_0712_67.pdf.

InProceedings

6 Ruzbeh Tusserkani, Hadi Poormohammadi, Azin Azadi and Changiz Eslahchi. Inferring phylogenies from minimal information. In AEEICB17, Pages 202-206, IEEE, 2017. Keywords: from triplets, phylogenetic network, phylogeny, Program TripNet, reconstruction.

Misc

7 Ruzbeh Tusserkani, Changiz Eslahchi, Hadi Poormohammadi and Azin Azadi. TripNet: A Method for Constructing Phylogenetic Networks from Triplets. 2011. Keywords: explicit network, heuristic, level k phylogenetic network, phylogenetic network, phylogeny, Program TripNet, reconstruction, software. Note: http://arxiv.org/abs/1104.4720.