Document of bibliographic reference 287667

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes
Abstract
Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales.We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000263406000001
Bibliographic citation
Guralnick, R.; Hill, A. (2009). Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes. Bioinformatics 25(4): 421-428. https://dx.doi.org/10.1093/bioinformatics/btn659
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Robert Guralnick
author
Name
Andrew Hill

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1093/bioinformatics/btn659

Document metadata

date created
2017-08-07
date modified
2018-02-13