Literature DB >> 20961649

Names are key to the big new biology.

D J Patterson1, J Cooper, P M Kirk, R L Pyle, D P Remsen.   

Abstract

Those who seek answers to big, broad questions about biology, especially questions emphasizing the organism (taxonomy, evolution and ecology), will soon benefit from an emerging names-based infrastructure. It will draw on the almost universal association of organism names with biological information to index and interconnect information distributed across the Internet. The result will be a virtual data commons, expanding as further data are shared, allowing biology to become more of a 'big science'. Informatics devices will exploit this 'big new biology', revitalizing comparative biology with a broad perspective to reveal previously inaccessible trends and discontinuities, so helping us to reveal unfamiliar biological truths. Here, we review the first components of this freely available, participatory and semantic Global Names Architecture.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20961649     DOI: 10.1016/j.tree.2010.09.004

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  46 in total

1.  Data hosting infrastructure for primary biodiversity data.

Authors:  Anthony Goddard; Nathan Wilson; Phil Cryer; Grant Yamashita
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2.  Two Influential Primate Classifications Logically Aligned.

Authors:  Nico M Franz; Naomi M Pier; Deeann M Reeder; Mingmin Chen; Shizhuo Yu; Parisa Kianmajd; Shawn Bowers; Bertram Ludäscher
Journal:  Syst Biol       Date:  2016-03-22       Impact factor: 15.683

3.  Characterization of Leishmania (Leishmania) waltoni n.sp. (Kinetoplastida: Trypanosomatidae), the Parasite Responsible for Diffuse Cutaneous Leishmaniasis in the Dominican Republic.

Authors:  Jeffrey Shaw; Francine Pratlong; Lucile Floeter-Winter; Edna Ishikawa; Fouad El Baidouri; Christophe Ravel; Jean-Pierre Dedet
Journal:  Am J Trop Med Hyg       Date:  2015-07-06       Impact factor: 2.345

4.  Reasoning over taxonomic change: exploring alignments for the Perelleschus use case.

Authors:  Nico M Franz; Mingmin Chen; Shizhuo Yu; Parisa Kianmajd; Shawn Bowers; Bertram Ludäscher
Journal:  PLoS One       Date:  2015-02-20       Impact factor: 3.240

Review 5.  Repositories for Taxonomic Data: Where We Are and What is Missing.

Authors:  Aurélien Miralles; Teddy Bruy; Katherine Wolcott; Mark D Scherz; Dominik Begerow; Bank Beszteri; Michael Bonkowski; Janine Felden; Birgit Gemeinholzer; Frank Glaw; Frank Oliver Glöckner; Oliver Hawlitschek; Ivaylo Kostadinov; Tim W Nattkemper; Christian Printzen; Jasmin Renz; Nataliya Rybalka; Marc Stadler; Tanja Weibulat; Thomas Wilke; Susanne S Renner; Miguel Vences
Journal:  Syst Biol       Date:  2020-11-01       Impact factor: 15.683

6.  Challenges with using names to link digital biodiversity information.

Authors:  David Patterson; Dmitry Mozzherin; David Peter Shorthouse; Anne Thessen
Journal:  Biodivers Data J       Date:  2016-05-25

7.  The taxonomic significance of species that have only been observed once: the genus Gymnodinium (Dinoflagellata) as an example.

Authors:  Anne E Thessen; David J Patterson; Shauna A Murray
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

8.  NetiNeti: discovery of scientific names from text using machine learning methods.

Authors:  Lakshmi Manohar Akella; Catherine N Norton; Holly Miller
Journal:  BMC Bioinformatics       Date:  2012-08-22       Impact factor: 3.169

9.  Nomenclatural benchmarking: the roles of digital typification and telemicroscopy.

Authors:  Quentin Wheeler; Thierry Bourgoin; Jonathan Coddington; Timothy Gostony; Andrew Hamilton; Roy Larimer; Andrew Polaszek; Michael Schauff; M Alma Solis
Journal:  Zookeys       Date:  2012-07-20       Impact factor: 1.546

10.  Taxonome: a software package for linking biological species data.

Authors:  Thomas A Kluyver; Colin P Osborne
Journal:  Ecol Evol       Date:  2013-04-01       Impact factor: 2.912

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