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

Identifying stress responsive genes using overlapping communities in co-expression networks.

BMC bioinformatics - 7 Nov 2021

Riccio-Rengifo Camila, Finke Jorge, Rocha Camilo

Abstract excerpt

BACKGROUND: This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of different genotypes, measured under control and treatment conditions. It outputs a reduced group of genes marked as relevant for treatment response. Technically, the proposed approach is both a generalization and an...

Read the complete abstract on PubMed

Topics

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

Share to Genotype
Share to Oryza
Share to Salt Tolerance

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Sequence Analysis, RNA

Share to Stress, Physiological

Source

Open in PubMed Open full text

Identifiers

PMID: 34743699
DOI: 10.1186/s12859-021-04462-4
PMCID: PMC8574028

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying stress responsive genes using overlapping communities in co-expression networks.PMID 34743699Read ↗

Gene Co-expression Network Analysis and Linking Modules to Phenotyping Response in Plants.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 ↗

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

Identification of potential Zinc deficiency responsive genes and regulatory pathways in rice genotypes by Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Genome-Wide Co-Expression Distributions as a Metric to Prioritize Genes of Functional Importance.Semantic proximity Read ↗

Transformation and model choice for RNA-seq co-expression analysisSemantic proximity Read ↗

Co-expression Networks in Predicting Transcriptional Gene Regulation.Semantic proximity Read ↗

Module representatives for refining gene co-expression modules.Semantic proximity Read ↗

Identification of key genes and modules in response to Cadmium stress in different rice varieties and stem nodes by weighted gene co-expression network analysis.Semantic proximity Read ↗

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

Functional Associations by Response Overlap (FARO), a functional genomics approach matching gene expression phenotypes.Semantic proximity Read ↗

Network aggregation improves gene function prediction of grapevine gene co-expression networks.Semantic proximity Read ↗

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