Literature DB >> 16384747

What's in a character?

Rob DeSalle1.   

Abstract

Systematic analyses are included as integral parts of bioinformatic analysis. The use of phenetic and phylogenetic trees in many of the newer areas of biology create a need for bioinformaticists to understand more completely the nuances of systematic analysis. Any description in comparative biology, universally begins with what information to use in the comparative endeavor. Phylogenetic approaches are no different. The diversity of approaches and phylogenetic questions in systematics have sometimes hindered a precise understanding of what primary data should be collected to perform such analyses. In addition, one should always keep in mind that the objective of systematic organization of entities in nature not only strives to organize those entities in an objective, repeatable and operational way, but also to organize the attributes of the entities in a similar hierarchical context. This paper attempts to describe characters as the basis of all comparative analysis, to describe the diverse kinds of primary data that exist today in biology, genomics, and bioinformatics, and to place these kinds of primary data in the context of the established approaches to tree building.

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Year:  2005        PMID: 16384747     DOI: 10.1016/j.jbi.2005.11.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  4 in total

1.  Literature based discovery of gene clusters using phylogenetic methods.

Authors:  Indra Neil Sarkar; Abha Agrawal
Journal:  AMIA Annu Symp Proc       Date:  2006

2.  MOTUs, Morphology, and Biodiversity Estimation: A Case Study Using Nematodes of the Suborder Criconematina and a Conserved 18S DNA Barcode.

Authors:  Thomas Powers; Timothy Harris; Rebecca Higgins; Peter Mullin; Lisa Sutton; Kirsten Powers
Journal:  J Nematol       Date:  2011-03       Impact factor: 1.402

3.  The real maccoyii: identifying tuna sushi with DNA barcodes--contrasting characteristic attributes and genetic distances.

Authors:  Jacob H Lowenstein; George Amato; Sergios-Orestis Kolokotronis
Journal:  PLoS One       Date:  2009-11-18       Impact factor: 3.240

Review 4.  Delimiting Coalescence Genes (C-Genes) in Phylogenomic Data Sets.

Authors:  Mark S Springer; John Gatesy
Journal:  Genes (Basel)       Date:  2018-02-26       Impact factor: 4.096

  4 in total

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