Identification of coding and non-coding cancer drivers from whole-genome re-sequencing data using gene regulatory network analysis.
Identification of a novel gene causing frontotemporal lobar degeneration and amyotrophic lateral sclerosis through whole genome sequencing.
NXT-EYE: integrated genomics and transcriptomics for gene identification in inherited retinal degeneration
Identification and characterization of gene functions involved in synergistic interactions in a pollutant degrading multi-species bacterial consortium.
Real-time PCR expression profiling of genes encoding potential virulence factors in Candida albicans biofilms: identification of model-dependent and -independent gene expression
Co-regulation of intragenic microRNA miR-153 and its host gene Ia-2 beta: identification of miR-153 target genes with functions related to IA-2 beta in pancreas and brain
Identification and validation of housekeeping genes as internal control for gene expression in an intravenous LPS inflammation model in chickens
Gene family information facilitates variant interpretation and identification of disease-associated genes in neurodevelopmental disorders
Human gene correlation analysis (HGCA) : a tool for the identification of transcriptionally coexprressed genes
Additional file 3: of Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families
Additional file 4: of Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families
Additional file 11: of Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families
Additional file 6: of Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families
Additional file 5: of Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families