Constructing Phylogenetic Networks Based on the Isomorphism of Datasets

Joint Authors

Wang, Juan
Zhang, Zhibin
Li, Yanjuan

Source

BioMed Research International

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-07-28

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine

Abstract EN

Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution.

So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR.

This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs.

We can find out all the simplest datasets for a topology G and construct a network for every dataset.

For any one dataset C , we can compute a network from the network representing the simplest dataset which is isomorphic to C .

This process will save more time for the algorithms when constructing networks.

American Psychological Association (APA)

Wang, Juan& Zhang, Zhibin& Li, Yanjuan. 2016. Constructing Phylogenetic Networks Based on the Isomorphism of Datasets. BioMed Research International،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1097697

Modern Language Association (MLA)

Wang, Juan…[et al.]. Constructing Phylogenetic Networks Based on the Isomorphism of Datasets. BioMed Research International No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1097697

American Medical Association (AMA)

Wang, Juan& Zhang, Zhibin& Li, Yanjuan. Constructing Phylogenetic Networks Based on the Isomorphism of Datasets. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1097697

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1097697