Frontiers in plant science

Environmental pollution (Barking, Essex : 1987)

BMC plant biology

international immunopharmacology

Microbial pathogenesis

[1] Transcriptomic analysis on the promoter regions discover gene networks involving mastitis in cattle.

[2] Oxidative stress response and proteomic analysis reveal the mechanisms of toxicity of imidazolium-based ionic liquids against Arabidopsis thaliana.

[3] Early Responses of Roots to Zinc Supply Under Sufficient and Sub-Optimal Phosphorus Supply.

[4] Elucidating the molecular pathways and immune system transcriptome during ischemia-reperfusion injury in renal transplantation.

[5] methods for determining the statistical significance of enrichment or depletion of gene ontology classifications under weighted membership

[6] an ontology systems approach on human brain expression and metaproteomics

[7] Comparative profiling of roots small RNA expression and corresponding gene ontology and pathway analyses for low- and high-cadmium-accumulating genotypes of wheat in response to cadmium stress.

[8] Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.

[9] Gene Ontology: tool for the unification of biology

[10] Gene ontology: tool for the unification of biology. The Gene Ontology Consortium

[11] Gene Ontology: tool for the unification of biology

[12] methods for determining the statistical significance of enrichment or depletion of gene ontology classifications under weighted membership

[13] correlating information contents of gene ontology terms to infer semantic similarity of gene products

[14] the choice between mapman and gene ontology for automated gene function prediction in plant science

[15] prediction and analysis of retinoblastoma related genes through gene ontology and kegg

[16] GO::TermFinder—open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes

[17] Gene Ontology: tool for the unification of biology - Nature Genetics

[18] Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology

[19] An approach for the identification of targets specific to bone metastasis using cancer genes interactome and gene ontology analysis