Nexco Analytics
Swiss data-analysis and AI services company for life-sciences data. Provides bioinformatics pipelines and advanced analytics for sequencing and multi-omics, high-resolution 3D genome analysis, spatial and single-cell transcriptomics (including 3D reconstruction), AI-driven structural biology and protein design, production-grade web-accessible omics workflows with on-premise options, and immersive visualization tools. Serves academia, biotech and pharma; founded on the EPFL campus.
Industries
Nr. of Employees
small (1-50)
Nexco Analytics
Bâtiment Alanine Route de la Corniche 5B, 1066 Epalinges, Switzerland
Products
Web-based omics analysis platform
Browser-accessible platform offering standardized, automated pipelines for omics data processing with options for local deployment to meet data-security requirements.
Transposable element analysis pipeline
Peer-reviewed pipeline for quantifying and analyzing transposable elements in bulk and single-cell sequencing data, supported by a curated TE reference.
Web-based omics analysis platform
Browser-accessible platform offering standardized, automated pipelines for omics data processing with options for local deployment to meet data-security requirements.
Transposable element analysis pipeline
Peer-reviewed pipeline for quantifying and analyzing transposable elements in bulk and single-cell sequencing data, supported by a curated TE reference.
Services
Custom machine-learning and AI pipelines for variant interpretation, GWAS support, pharmacogenomics, metagenomics and predictive modeling, integrating multi-source datasets and statistical validation.
Design and implementation of bespoke analysis pipelines, recovery and rescue of compromised datasets, and peer-reviewed workflow implementations for complex -omics datasets.
End-to-end computational workflows for spatial transcriptomics and single-cell RNA-seq, including image registration, cell segmentation, subcellular mapping, 3D virtual tissue reconstruction and integration across modalities.
Analysis of Hi‑C, Micro‑C and related chromosome conformation capture experiments to produce high-resolution contact maps, identify structural domains and link genome architecture to transcriptional and epigenomic outcomes.
Structure prediction, molecular modeling, sequence design and stability optimization using AI-based all-atom and geometric deep-learning tools, with experimental-design support and visualization options.
Deployment and customization of high-speed spectral-archive indexing and interactive visualization systems for proteomics to enable rapid querying, cluster exploration and large-scale spectral retrieval.
Custom machine-learning and AI pipelines for variant interpretation, GWAS support, pharmacogenomics, metagenomics and predictive modeling, integrating multi-source datasets and statistical validation.
Design and implementation of bespoke analysis pipelines, recovery and rescue of compromised datasets, and peer-reviewed workflow implementations for complex -omics datasets.
End-to-end computational workflows for spatial transcriptomics and single-cell RNA-seq, including image registration, cell segmentation, subcellular mapping, 3D virtual tissue reconstruction and integration across modalities.
Analysis of Hi‑C, Micro‑C and related chromosome conformation capture experiments to produce high-resolution contact maps, identify structural domains and link genome architecture to transcriptional and epigenomic outcomes.
Structure prediction, molecular modeling, sequence design and stability optimization using AI-based all-atom and geometric deep-learning tools, with experimental-design support and visualization options.
Deployment and customization of high-speed spectral-archive indexing and interactive visualization systems for proteomics to enable rapid querying, cluster exploration and large-scale spectral retrieval.
Expertise Areas
- Bioinformatics and NGS analysis
- Single-cell and spatial transcriptomics (including 3D reconstruction)
- 3D genomics and chromosome conformation capture analysis
- AI/ML for genomics and multi-omics
Key Technologies
- Next-generation sequencing (NGS) analysis
- Single-cell RNA-seq
- Spatial transcriptomics and Open-ST style high-resolution methods
- Chromosome conformation capture (Hi-C, Micro-C, ChIA‑PET, HiChIP, 3C)
News & Updates
Blog post describing high-resolution Micro‑C chromosome conformation capture, applications for ultra‑high resolution 3D genome maps and related bioinformatics services for Hi‑C/Micro‑C/3C data.
Article describing spatial transcriptomics workflows, Open‑ST style high-resolution capture, 3D reconstruction and integration with other omics.
Blog post summarizing trends in AI for science, competition in model development, and implications for life-sciences services and tools.
Discussion of advances in geometric deep-learning protein design models that incorporate non-protein molecular context and implications for enzyme engineering and protein design workflows.
Overview of a multimodal foundational model able to process DNA, RNA and protein sequences at large context lengths and discussion of implications and responsible deployment.
Summary of next-generation structure-prediction advances and discussion of implications for molecular docking, virtual screening and structural bioinformatics workflows.
Blog post describing high-resolution Micro‑C chromosome conformation capture, applications for ultra‑high resolution 3D genome maps and related bioinformatics services for Hi‑C/Micro‑C/3C data.
Article describing spatial transcriptomics workflows, Open‑ST style high-resolution capture, 3D reconstruction and integration with other omics.
Blog post summarizing trends in AI for science, competition in model development, and implications for life-sciences services and tools.
Discussion of advances in geometric deep-learning protein design models that incorporate non-protein molecular context and implications for enzyme engineering and protein design workflows.
Overview of a multimodal foundational model able to process DNA, RNA and protein sequences at large context lengths and discussion of implications and responsible deployment.
Summary of next-generation structure-prediction advances and discussion of implications for molecular docking, virtual screening and structural bioinformatics workflows.