Document Detail

Evolutionary informatics: unifying knowledge about the diversity of life.
MedLine Citation:
PMID:  22154516     Owner:  NLM     Status:  MEDLINE    
The accelerating growth of data and knowledge in evolutionary biology is indisputable. Despite this rapid progress, information remains scattered, poorly documented and in formats that impede discovery and integration. A grand challenge is the creation of a linked system of all evolutionary data, information and knowledge organized around Darwin's ever-growing Tree of Life. Such a system, accommodating topological disagreement where necessary, would consolidate taxon names, phenotypic and geographical distributional data across clades, and serve as an integrated community resource. The field of evolutionary informatics, reviewed here for the first time, has matured into a robust discipline that is developing the conceptual, infrastructure and community frameworks for meeting this grand challenge.
Cynthia S Parr; Robert Guralnick; Nico Cellinese; Roderic D M Page
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review     Date:  2011-12-10
Journal Detail:
Title:  Trends in ecology & evolution     Volume:  27     ISSN:  1872-8383     ISO Abbreviation:  Trends Ecol. Evol. (Amst.)     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-01-24     Completed Date:  2012-05-11     Revised Date:  2014-05-29    
Medline Journal Info:
Nlm Unique ID:  8805125     Medline TA:  Trends Ecol Evol     Country:  England    
Other Details:
Languages:  eng     Pagination:  94-103     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
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MeSH Terms
Biological Evolution
Computational Biology / methods*
Ecology / methods,  trends
Erratum In:
Trends Ecol Evol. 2012 Jul;27(7):414

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