Transcriptomics & RNA-Seq
Differential expression, functional enrichment, pathway analysis, network analysis and transcriptomic interpretation.
Integrated computational solutions across genomics, transcriptomics, proteomics, metabolomics, radiomics, multi-omics, AI and in-silico drug discovery.
WinXora-BiOmics focuses on computational biology, omics analysis, bioinformatics and in-silico drug discovery.
Our workflows connect biological datasets, computational modelling and quantitative analysis to support research questions across modern life-science projects.
Computational capabilities spanning molecular data analysis, biological modelling, medical imaging and drug discovery workflows.
Differential expression, functional enrichment, pathway analysis, network analysis and transcriptomic interpretation.
Variant processing, annotation, filtering and interpretation for whole-genome and whole-exome sequencing datasets.
Protein identification, quantification, differential analysis, functional interpretation and downstream biological analysis.
Computational processing and interpretation of metabolite-level datasets for biological and biomedical research.
Quantitative imaging workflows, feature extraction and computational analysis for biomedical imaging research.
Microbial genomics, antimicrobial resistance analysis, comparative genomics and computational interpretation.
Virtual screening, molecular docking, molecular dynamics, binding analysis and computational ADMET workflows.
AI and machine-learning approaches for biological prediction, classification, modelling and data interpretation.
Integrated analysis across genomic, transcriptomic, proteomic and other complementary molecular datasets.
Clarify the biological objective, dataset, study design and expected analytical output.
Select appropriate preprocessing, statistical, bioinformatic and modelling approaches.
Process the data, identify relevant molecular features and connect results to biological context.
Organize findings into figures, tables, analytical reports and next-step recommendations.
Computational approaches applicable across selected areas of modern life-science and biomedical research.
Computational investigation of molecular targets, pathways and candidate compounds.
Genomic and computational analysis for molecular characterization and biological interpretation.
Integrated analysis and interpretation of complementary molecular datasets.
Genomic and computational analysis of antimicrobial resistance and microbial biology.
AI-enabled computational approaches for quantitative biomedical imaging research.
Docking, molecular dynamics and computational investigation of protein–ligand interactions.
Share your dataset, research objective or analysis requirement and start an enquiry.
Have a computational biology, omics, AI, imaging or drug-discovery requirement? Tell us about your project through the enquiry form.
Tell us about your dataset, research question, analysis requirement or computational project.
Open Google Form → The enquiry form will open in a new tab.