The phrase "analysis of multiple genes" is correct and usable in written English.
It can be used in contexts related to genetics, biology, or medical research when discussing the examination or study of several genes simultaneously.
Example: "The research focused on the analysis of multiple genes to understand their roles in hereditary diseases."
Alternatives: "examination of several genes" or "study of various genes".
Next-generation sequencing (NGS) allows rapid analysis of multiple genes for clinically actionable somatic variants.
Next-generation sequencing shows great promise by allowing rapid mutational analysis of multiple genes in human cancers.
Using a wide spectrum of different fluorescent markers, including drug-selectable enhanced green fluorescent protein (eGFP)- and dTomato-blasticidin-S resistance fusion proteins, LeGO vectors allow simultaneous analysis of multiple genes and shRNAs of interest within single, easily identifiable cells.
Advances in next-generation sequencing (NGS) have facilitated parallel analysis of multiple genes enabling the implementation of cost-effective, rapid, and high-throughput methods for the molecular diagnosis of multiple genetic conditions, including the identification of BRCA1 and BRCA2 mutations in high-risk patients for hereditary breast and ovarian cancer.
We provide one parameter "set the threshold value" for the analysis of multiple genes.
Analysis of multiple genes is similar with that of single gene analysis.
New stress-related genes of similar functional motifs were identified, reemphasizing the importance of functional grouping in the analysis of multiple gene expression profiles.
Methods for the analysis of multiple gene lists continue to be an area of active investigation, which highlights the necessity to develop analytical strategies that extend beyond the consolidation and analysis of individual lists, and implement approaches that will enable emergent insights that cannot be extracted using current approaches10,11.
The application of DNA chip technology includes the comprehensive analysis of multiple gene mutations and expressed sequences with regard to newer drug designs, host pathogen interactions and the design of new vaccines.
Analysis of multiple gene phylogenies provides further evidence for outcrossing.
Both methods promote pathway-level comparative analysis of multiple gene lists or datasets on top of commonly used pathway enrichment analysis of a single gene list.
