Integration of genomic and phenotypic data

Amanda Clare

doi:10.1002/0470094419.ch6

Integration of genomic and phenotypic data

Amanda Clare

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Phenotypic data is perhaps the least analysed form of bioinformatics data, but new laboratory techniques are providing more opportunities for genome-scale phenotype observations. The combination of phenotype data together with other sources of bioinformatics data and with whole system and network analysis will open new possibilities for understanding and modelling the emergent and complex properties of the cell.

Original language	English
Title of host publication	Data Analysis and Visualization in Genomics and Proteomics
Publisher	Wiley
Pages	83-97
Number of pages	15
ISBN (Print)	9780470094396
DOIs	https://doi.org/10.1002/0470094419.ch6
Publication status	Published - 15 Jun 2005

Keywords

Data mining
Forward genetics
Genomics
Integration
Phenotype
QTL analysis (quantitative trait loci)
Reverse genetics
Systems biology

Access to Document

10.1002/0470094419.ch6

http://hdl.handle.net/2160/125

Permanent link

Persistent link

Cite this

@inbook{6364d349ebff44e6bce1e885c10ed644,

title = "Integration of genomic and phenotypic data",

abstract = "Phenotypic data is perhaps the least analysed form of bioinformatics data, but new laboratory techniques are providing more opportunities for genome-scale phenotype observations. The combination of phenotype data together with other sources of bioinformatics data and with whole system and network analysis will open new possibilities for understanding and modelling the emergent and complex properties of the cell.",

keywords = "Data mining, Forward genetics, Genomics, Integration, Phenotype, QTL analysis (quantitative trait loci), Reverse genetics, Systems biology",

author = "Amanda Clare",

note = "Clare, A. (2005) Integration of genomic and phenotypic data. In Data Analysis and Visualization in Genomics and Proteomics, Eds. Francisco Azuaje and Joaquin Dopazo, Wiley, London. ISBN: 0-470-09439-7",

year = "2005",

month = jun,

day = "15",

doi = "10.1002/0470094419.ch6",

language = "English",

isbn = "9780470094396",

pages = "83--97",

booktitle = "Data Analysis and Visualization in Genomics and Proteomics",

publisher = "Wiley",

address = "United States of America",

}

TY - CHAP

T1 - Integration of genomic and phenotypic data

AU - Clare, Amanda

N1 - Clare, A. (2005) Integration of genomic and phenotypic data. In Data Analysis and Visualization in Genomics and Proteomics, Eds. Francisco Azuaje and Joaquin Dopazo, Wiley, London. ISBN: 0-470-09439-7

PY - 2005/6/15

Y1 - 2005/6/15

N2 - Phenotypic data is perhaps the least analysed form of bioinformatics data, but new laboratory techniques are providing more opportunities for genome-scale phenotype observations. The combination of phenotype data together with other sources of bioinformatics data and with whole system and network analysis will open new possibilities for understanding and modelling the emergent and complex properties of the cell.

AB - Phenotypic data is perhaps the least analysed form of bioinformatics data, but new laboratory techniques are providing more opportunities for genome-scale phenotype observations. The combination of phenotype data together with other sources of bioinformatics data and with whole system and network analysis will open new possibilities for understanding and modelling the emergent and complex properties of the cell.

KW - Data mining

KW - Forward genetics

KW - Genomics

KW - Integration

KW - Phenotype

KW - QTL analysis (quantitative trait loci)

KW - Reverse genetics

KW - Systems biology

UR - http://www.scopus.com/inward/record.url?scp=84889765213&partnerID=8YFLogxK

U2 - 10.1002/0470094419.ch6

DO - 10.1002/0470094419.ch6

M3 - Chapter

SN - 9780470094396

SP - 83

EP - 97

BT - Data Analysis and Visualization in Genomics and Proteomics

PB - Wiley

ER -

Integration of genomic and phenotypic data

Abstract

Keywords

Access to Document

Permanent link

Other files and links

Cite this