Literature DB >> 17704120

Biodiversity informatics: organizing and linking information across the spectrum of life.

Indra Neil Sarkar1.   

Abstract

Biological knowledge can be inferred from three major levels of information: molecules, organisms and ecologies. Bioinformatics is an established field that has made significant advances in the development of systems and techniques to organize contemporary molecular data; biodiversity informatics is an emerging discipline that strives to develop methods to organize knowledge at the organismal level extending back to the earliest dates of recorded natural history. Furthermore, while bioinformatics studies generally focus on detailed examinations of key 'model' organisms, biodiversity informatics aims to develop over-arching hypotheses that span the entire tree of life. Biodiversity informatics is presented here as a discipline that unifies biological information from a range of contemporary and historical sources across the spectrum of life using organisms as the linking thread. The present review primarily focuses on the use of organism names as a universal metadata element to link and integrate biodiversity data across a range of data sources.

Mesh:

Year:  2007        PMID: 17704120     DOI: 10.1093/bib/bbm037

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  23 in total

1.  At the intersection of public-health informatics and bioinformatics: using advanced Web technologies for phylogeography.

Authors:  Matthew Scotch; Changjiang Mei; Cynthia Brandt; Indra Neil Sarkar; Kei Cheung
Journal:  Epidemiology       Date:  2010-11       Impact factor: 4.822

2.  GIDL: a rule based expert system for GenBank Intelligent Data Loading into the Molecular Biodiversity Database.

Authors:  Paolo Pannarale; Domenico Catalano; Giorgio De Caro; Giorgio Grillo; Pietro Leo; Graziano Pappadà; Francesco Rubino; Gaetano Scioscia; Flavio Licciulli
Journal:  BMC Bioinformatics       Date:  2012-03-28       Impact factor: 3.169

3.  LINNAEUS: a species name identification system for biomedical literature.

Authors:  Martin Gerner; Goran Nenadic; Casey M Bergman
Journal:  BMC Bioinformatics       Date:  2010-02-11       Impact factor: 3.169

4.  Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.

Authors:  Vivekanand Sharma; Wayne Law; Michael J Balick; Indra Neil Sarkar
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Leveraging biodiversity knowledge for potential phyto-therapeutic applications.

Authors:  Vivekanand Sharma; Indra Neil Sarkar
Journal:  J Am Med Inform Assoc       Date:  2013-03-21       Impact factor: 4.497

6.  Human and animal sentinels for shared health risks.

Authors:  Peter Rabinowitz; Matthew Scotch; Lisa Conti
Journal:  Vet Ital       Date:  2009 Jan-Mar       Impact factor: 1.101

7.  Phylogeography of swine influenza H3N2 in the United States: translational public health for zoonotic disease surveillance.

Authors:  Matthew Scotch; Changjiang Mei
Journal:  Infect Genet Evol       Date:  2012-11-06       Impact factor: 3.342

8.  A Second Look at FAIR in Proteomic Investigations.

Authors:  J Harry Caufield; John Fu; Ding Wang; Vladimir Guevara-Gonzalez; Wei Wang; Peipei Ping
Journal:  J Proteome Res       Date:  2021-03-13       Impact factor: 4.466

9.  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

10.  Assessing the primary data hosted by the Spanish node of the Global Biodiversity Information Facility (GBIF).

Authors:  Javier Otegui; Arturo H Ariño; María A Encinas; Francisco Pando
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

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