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    Genomics and Multi-Omics Data Analysis
    Genomics and Multi-Omics Data Analysis 2
    ServiceDisponible

    Genomics and Multi-Omics Data Analysis

    Tarification

    Demander un devis

    Gladstone Institutes

    Ce que les chercheurs peuvent faire

    End-to-end analysis across transcriptomics, epigenomics, genomics, proteomics, and metabolomics, including integration across modalities.

    Send us the data and the biological question. We handle the analysis, the interpretation, and the figures.

    Transcriptomics. Bulk and single-cell RNA-seq, spatial, and ribosomal profiling.

    Epigenomics. Bulk and single-cell ATAC-seq, methylation by array or bisulfite sequencing, and HiC.

    Genomics. Genomic structure and variant calling, GWAS, rare variants, de novo association in family trios, and oncoplots.

    Proteomics and metabolomics. SomaScan and Olink protein expression, single-cell proteomics by CyTOF and CITE-seq, and metabolomic data.

    Long-range sequencing. PacBio single-molecule footprinting and base modification calling.

    Integrative analysis across phenotype, genotype, and multiple omics layers is where most of the biological insight actually shows up, so we treat it as the point rather than an add-on. Where current methods fall short we build the tool, which is how most of our open-source software started.

    Large-scale datasets are routine here.

    Bioinformatics Core

    Bioinformatics Core

    Laboratoire de recherche voué à faire avancer les connaissances scientifiques et l'innovation.

    RT

    Reuben Thomas

    ServiceDisponible

    Genomics and Multi-Omics Data Analysis

    Tarification

    Demander un devis

    Gladstone Institutes

    Ce que les chercheurs peuvent faire

    End-to-end analysis across transcriptomics, epigenomics, genomics, proteomics, and metabolomics, including integration across modalities.

    Send us the data and the biological question. We handle the analysis, the interpretation, and the figures.

    Transcriptomics. Bulk and single-cell RNA-seq, spatial, and ribosomal profiling.

    Epigenomics. Bulk and single-cell ATAC-seq, methylation by array or bisulfite sequencing, and HiC.

    Genomics. Genomic structure and variant calling, GWAS, rare variants, de novo association in family trios, and oncoplots.

    Proteomics and metabolomics. SomaScan and Olink protein expression, single-cell proteomics by CyTOF and CITE-seq, and metabolomic data.

    Long-range sequencing. PacBio single-molecule footprinting and base modification calling.

    Integrative analysis across phenotype, genotype, and multiple omics layers is where most of the biological insight actually shows up, so we treat it as the point rather than an add-on. Where current methods fall short we build the tool, which is how most of our open-source software started.

    Large-scale datasets are routine here.

    Genomics and Multi-Omics Data Analysis
    Genomics and Multi-Omics Data Analysis 2
    Bioinformatics Core

    Bioinformatics Core

    Laboratoire de recherche voué à faire avancer les connaissances scientifiques et l'innovation.

    RT

    Reuben Thomas

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    Genomics in San FranciscoProteomics in San FranciscoHigh-Performance Computing in San FranciscoResearch infrastructure in San FranciscoCore facilities at Gladstone Institutes
    LabGiant,

    Fonctionnalités

    Calendrier d'équipementProtocol CortexCRMRapports d'impact

    Explorer

    Index de rechercheTechniquesCommunautéForfaits

    En partenariat avec

    McGill UniversityConcordia UniversityUniversité de MontréalPolytechnique MontréalDobson Centre for EntrepreneurshipUniversity of Alberta
    © 2026 LabGiant
    EN|FR
    Politique de confidentialitéConditions d'utilisation