Journal of Data Mining in Genomics & Proteomics

Department of Chemistry and Center for Computational Biology, University of California, Berkeley, CA,, USA

Publications

• Research   
  Whole-Proteome Tree of Insects: An Information-Theory-Based “Alignment-Free” Phylogeny and Grouping of “Proteome Books”
  Author(s): JaeJin Choi, Byung-Ju Kim and Sung-Hou Kim*
  
  Background: An “organism tree” of insects, the largest and most species-diverse group of all living animals, can be considered as a metaphorical and conceptual tree to capture a simplified narrative of the complex and unpredictable evolutionary courses of the extant insects. Currently, the most common approach has been to construct a “gene tree”, as a surrogate for the organism tree, by selecting a group of highly alignable regions of each of the select genes/proteins to represent each organism. However, such selected regions account for a small fraction of all genes/ proteins and even smaller fraction of whole genome of an organism. During last decades, whole-genome sequences of many extant insects became available, providing an opportunity to construct a “whole-genome or whole-proteome tree” of insects using Information Theory wit.. View more»
  

  DOI: 10.35248/2153-0602.21.s7.002

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