Drug discovery and development research increasingly uses sequencing and multi-omics technologies to investigate disease mechanisms, identify therapeutic targets and evaluate molecular changes linked to treatment response.
Genomic, transcriptomic, epigenomic, proteomic and metabolomic data can help researchers connect biological pathways with disease phenotypes, model systems and research cohorts. These approaches can support studies from early target discovery and validation through to biomarker research, preclinical development and translational studies.
By combining molecular profiling with bioinformatics analysis, researchers can explore target relevance, pathway activity, mechanism of action, resistance patterns and subgroup differences that may influence therapeutic development strategies.
Common Research Approaches
Identify disease-associated genes, pathways and molecular features that may support target prioritisation, functional validation and early discovery research.
Investigate gene expression, pathway activity and molecular response patterns after treatment, perturbation or compound exposure in relevant research models.
Explore molecular features associated with disease subgroups, treatment response, resistance patterns or research cohort differences.
Characterise cell models, organoids, animal models or translational samples using sequencing and multi-omics approaches across development stages.
Novogene Europe provides access to sequencing, transcriptomics, epigenomics, single-cell, proteomics, metabolomics and bioinformatics workflows that can support drug discovery and development research.
Depending on your study design, our team can help you consider suitable approaches for target discovery, biomarker research, mechanism studies, preclinical model profiling or translational research projects.
Drug discovery and development research increasingly uses sequencing and multi-omics technologies to investigate disease mechanisms, identify therapeutic targets and evaluate molecular changes linked to treatment response.
Genomic, transcriptomic, epigenomic, proteomic and metabolomic data can help researchers connect biological pathways with disease phenotypes, model systems and research cohorts. These approaches can support studies from early target discovery and validation through to biomarker research, preclinical development and translational studies.
By combining molecular profiling with bioinformatics analysis, researchers can explore target relevance, pathway activity, mechanism of action, resistance patterns and subgroup differences that may influence therapeutic development strategies.
Common Research Approaches
Identify disease-associated genes, pathways and molecular features that may support target prioritisation, functional validation and early discovery research.
Investigate gene expression, pathway activity and molecular response patterns after treatment, perturbation or compound exposure in relevant research models.
Explore molecular features associated with disease subgroups, treatment response, resistance patterns or research cohort differences.
Characterise cell models, organoids, animal models or translational samples using sequencing and multi-omics approaches across development stages.
Novogene Europe provides access to sequencing, transcriptomics, epigenomics, single-cell, proteomics, metabolomics and bioinformatics workflows that can support drug discovery and development research.
Depending on your study design, our team can help you consider suitable approaches for target discovery, biomarker research, mechanism studies, preclinical model profiling or translational research projects.
