PGMapper

A web-based tool linking phenotype to genes

Qing Xiong, Yuhui Qiu, Weikuan Gu

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Summary: With the availability of whole genome sequence in many species, linkage analysis, positional cloning and microarray are gradually becoming powerful tools for investigating the links between phenotype and genotype or genes. However, in these methods, causative genes underlying a quantitative trait locus, or a disease, are usually located within a large genomic region or a large set of genes. Examining the function of every gene is very time consuming and needs to retrieve and integrate the information from multiple databases or genome resources. PGMapper is a software tool for automatically matching phenotype to genes from a defined genome region or a group of given genes by combining the mapping information from the Ensembl database and gene function information from the OMIM and PubMed databases. PGMapper is currently available for candidate gene search of human, mouse, rat, zebrafish and 12 other species.

Original languageEnglish (US)
Pages (from-to)1011-1013
Number of pages3
JournalBioinformatics
Volume24
Issue number7
DOIs
StatePublished - Apr 1 2008

Fingerprint

Phenotype
Web-based
Linking
Genes
Gene
Genome
Databases
Genetic Databases
Linkage Analysis
Quantitative Trait Loci
Chromosome Mapping
Zebrafish
PubMed
Genotype
Software Tools
Organism Cloning
Microarray
Large Set
Software
Genomics

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

PGMapper : A web-based tool linking phenotype to genes. / Xiong, Qing; Qiu, Yuhui; Gu, Weikuan.

In: Bioinformatics, Vol. 24, No. 7, 01.04.2008, p. 1011-1013.

Research output: Contribution to journalArticle

Xiong, Qing ; Qiu, Yuhui ; Gu, Weikuan. / PGMapper : A web-based tool linking phenotype to genes. In: Bioinformatics. 2008 ; Vol. 24, No. 7. pp. 1011-1013.
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