A complexity-based measure and its application to phylogenetic analysis
By Xiaoqi Zheng, Chunyuan Li, Jun Wang. 2008
9 citations recorded by the source corpus.
In this article, we propose two well-defined distance metrics of biological sequences based on a universal complexity profile. To illustrate our metrics, phylogenetic trees of 18 Eutherian mammals from comparison of their mtDNA sequences and 24 coronaviruses using the whole genomes are constructed. The resulting monophyletic clusters agree well with the established taxonomic groups.
Subfields: Molecular Biology
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In Molecular Biology
- Bernhard Schölkopf
- Dominik Janzing
- Bastian Steudel
- Michel Besserve
- Arthur Gretton
- Rémy Sun
- Le Song
- Alex Smola
Citations in the corpus
- Causal Markov condition for submodular information measures (2010, methodology): “f time series in biomedical signal analysis [20] and distance measures based on versions of LZ-information have been used to analyze neural spike train data [21] and to reconstruct phylogenetic trees [22]. We start by defining Definition 7 (production and reproduction from prefix) Let s = xy be a strin”