Omni 1000: Biological Intelligence Delivered at Scale

Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies.

Nomic Bio
•
April 18, 2026
White Paper

Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.

Omni 1000: Biological Intelligence Delivered at Scale

White Paper
Nomic Bio
•
April 18, 2026

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Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.

Omni 1000: Biological Intelligence Delivered at Scale

White Paper
Nomic Bio
•
April 18, 2026

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Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.

Omni 1000: Biological Intelligence Delivered at Scale

White Paper
Nomic Bio
•
April 18, 2026

Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.

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Omni 1000: Biological Intelligence Delivered at Scale

White Paper
Nomic Bio
•
April 18, 2026

Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.

Download resource

Get the latest insights and updates delivered straight to your inbox weekly.

Omni 1000: Biological Intelligence Delivered at Scale

White Paper
Nomic Bio
•
April 18, 2026

Get the latest insights and updates delivered straight to your inbox weekly.

Proteomics has long required compromise: breadth versus cost, absolute quantification versus depth, scalability versus insight. Omni 1000 eliminates those constraints, delivering 1063 rigorously selected proteins in a single quantitative assay, yielding data that is interoperable across studies. Built with nELISA® technology, Omni 1000 enables studies that were previously out of reach — from large-scale perturbation screen and population-scale cohorts to the AI-ready proteomic datasets needed to build foundation models.