Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Trends in Biotechnol...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Trends in Biotechnology
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 2 versions
addClaim

Plant bioinformatics: from genome to phenome

Authors: Edwards, David; Batley, Jacqueline;

Plant bioinformatics: from genome to phenome

Abstract

The vast quantities of diverse biological data generated by recent biotechnological advances have led to the development and evolution of the field of bioinformatics. This relatively new field facilitates both the analysis of genomic and postgenomic data and the integration of information from the related fields of transcriptomics, proteomics, metabolomics and phenomics. Such integration enables the identification of genes and gene products, and can elucidate the functional relationships between genotype and observed phenotype, thereby permitting a system-wide analysis from genome to phenome. With the increasing value and throughput of plant biotechnology, bioinformatics is being called on to integrate the varied data generated by the expanding '-omic' technologies. Copyright © 2004 Elsevier Ltd All rights reserved.

Country
Australia
Keywords

Rice Genome, Systems Biology, 0703 Crop and Pasture Production, Microarray Data, Computational Biology, Medicago-truncatula, Draft Sequence, Sequence Analysis, DNA, Plants, Single-nucleotide Polymorphisms, Sequence Tag Data, Grass Genomics, Functional Genomics, Phenotype, Biotechnology & Applied Microbiology, Databases, Genetic, Gene-expression, Genome, Plant

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    93
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
93
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!