Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.

PloS one - 1 Jan 2013

Ficklin Stephen P, Feltus Frank Alex

Abstract excerpt

Many traits of biological and agronomic significance in plants are controlled in a complex manner where multiple genes and environmental signals affect the expression of the phenotype. In Oryza sativa (rice), thousands of quantitative genetic signals have been mapped to the rice genome. In parallel, thousands of gene expression profiles have been generated across many experimental conditions. Through the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genome, Plant
Share to Oryza
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 23874666
DOI: 10.1371/journal.pone.0068551
PMCID: PMC3713027

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.PMID 23874666Read ↗

The association of multiple interacting genes with specific phenotypes in rice using gene coexpression networks.Semantic proximity Read ↗

A computational interactome for prioritizing genes associated with complex agronomic traits in rice (Oryza sativa).Semantic proximity Read ↗

Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa.Semantic proximity Read ↗

Towards systems genetic analyses in barley: Integration of phenotypic, expression and genotype data into GeneNetwork.Semantic proximity Read ↗

Comparison of gene co-networks reveals the molecular mechanisms of the rice (Oryza sativa L.) response to Rhizoctonia solani AG1 IA infection.Semantic proximity Read ↗

Gene coexpression network alignment and conservation of gene modules between two grass species: maize and rice.Semantic proximity Read ↗

Network-assisted crop systems genetics: network inference and integrative analysis.Semantic proximity Read ↗

Towards establishment of a rice stress response interactome.Semantic proximity Read ↗

Gene Expression Network Analysis (GENA) – A Biostatistical Method to Unravel Intricate Relationships Between GenesSemantic proximity Read ↗

Integrating co-expression networks with GWAS to prioritize causal genes in maizeSemantic proximity Read ↗

AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species.Semantic proximity Read ↗

Rice Annotation Project Database (RAP-DB): literature-curated gene annotation and integrated omics resources for rice functional genomics and molecular breedingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.