Mapping life, one cell at a time
Access the largest curated and harmonized single cell omics database and build tailored atlas out of it.
Explore OmicStoreStay tuned with best data
Build tailored cell atlases
Explore your data
Stay tuned with the best data
15,000+
Publications
Data remains linked to the scientific articles from which they have been sourced, ensuring verifiability.
100M+
Cells
Explore hundreds of millions of cells to discover biomarkers, cell-type effects and diseases.
1.5M+
Experiments
Learn from over a million individual experiments, totalling over 2 million sequencing runs.
OmicStore core features
Omics catalog
With so much omics data being produced and stored, it can be challenging to find the new datasets most relevant to your work.
With regularly screened and updated datasets, OmicStore empowers researchers to access the latest scientific knowledge.
Harmonized annotation
When a new dataset is published, we produce smart metadata using a combination of expert manual annotation and LLM-based curation.
The metadata is then standardised across a massive vocabulary, enabling you to search a catalogue of 20,000+ datasets.
Build custom atlases
When you have found datasets of interest, OmicStore enables you to process them with gold-standard processing pipelines.
With OmicStore you can access either the raw counts or custom-integrated Cell Atlases, which are ready for downstream analytics.
Seamless integration
Whether you choose on-the-shelf or custom Atlases, we ensure a FAIR access to ML-ready data packages for a seamless integration within most various ecosystems.
Start exploring cell mechanisms and new therapeutic strategies with the direct integration of your Atlas with our Cell BluePrint.
What our users say:
“I really liked exploring the human interactome with this new layout! I’ve never seen such a tool”
“The tool is very helpful! It's particularly interesting to have an enrichment analysis of nodes”
“Excellent tool - easy to use even without abioinformatic background”
Using Omicstore
for research
Target discovery is hindered by the scarcity of comprehensive, high-quality single-cell datasets that accurately reflect the diversity of cell types across different tissues and conditions.
OmicStore provides access to an extensive, curated catalog of single-cell omics data, enabling researchers to generate custom atlases and identify potential therapeutic targets with greater precision and confidence.
The identification of reliable biomarkers is complicated by the variability and heterogeneity present in individual single-cell studies, which often lack sufficient coverage across different conditions and tissues.
By offering a vast and harmonized collection of single-cell omics data, OmicStore enables researchers to identify consistent biomarkers across multiple datasets, improving the accuracy and robustness of biomarker discovery.
Drug development is often hampered by the inability to predict drug effects across the diverse cell types within an organ or disease context, leading to failed trials.
OmicStore supports the generation of organ- or disease-specific atlases that can be used to predict drug responses at the single-cell level, aiding in the identification of promising drug candidates and repurposing opportunities.
Understanding the cellular and molecular mechanisms of diseases is challenging due to the lack of integrated and comparable data across different studies and conditions.
OmicStore's harmonized datasets allow for the generation of disease-specific atlases, enabling researchers to uncover disease mechanisms by comparing cellular states and interactions across multiple datasets in a standardized manner.