Accurate cell annotation
with unique marker genes

Built upon meticulously curated marker gene sets from over 280 publications, our automated cell typing process delivers precise, single-cell resolution annotation for 166 distinct cell types and subtypes, reduce manual effort and establish a solid foundation for downstream analysis.

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166 cell types and subtypes

Both common and tissue-specific cells across 11 tissues: blood, bone marrow, brain, breast, colon, eye, heart, kidney, liver, lung, and pancreas. Our database is continuously updated with new cell types and subtypes, ensuring the most current and comprehensive scRNA-seq data analysis.

mast cell

pro-B cell

precursor B cell

immature B cell

B cell

germinal center B cell

memory B cell

naive B cell

plasma cell

IgA plasma cell

IgG plasma cell

IgM plasma cell

naive T cell

naive gamma-delta T cell

naive thymus-derived CD4-positive, alpha-beta T cell

naive thymus-derived CD8-positive, alpha-beta T cell

central memory T cell

central memory CD4-positive, alpha-beta T cell

central memory CD8-positive, alpha-beta T cell

central memory gamma-delta T cell

effector memory T cell

effector memory CD4-positive, alpha-beta T cell

effector memory CD8-positive, alpha-beta T cell

effector memory gamma-delta T cell

effector T cell

effector CD8-positive, alpha-beta T cell

effector gamma-delta T cell

NKT-like CD8-positive, alpha-beta T cell

NKT-like gamma-delta T cell

CD4-positive, alpha-beta cytotoxic T cell

T-helper cell

T-helper 17 cell

T follicular helper cell

natural killer cell

CD56bright NK cell

CD56dim NK cell

NK T cell

regulatory T cell

mucosal invariant T cell

exhausted T cell

group 1 innate lymphoid cell

group 2 innate lymphoid cell

group 3 innate lymphoid cell

osteoclast

neutrophil

immature neutrophil

monocyte

classical monocyte

intermediate monocyte

non-classical monocyte

macrophage

Kupffer cell

alveolar macrophage

microglial cell

Langerhans cell

conventional type 1 dendritic cell

conventional type 2 dendritic cell

plasmacytoid dendritic cell

LAMP3+ dendritic cell

eosinophil

Exceptional performance
compared to reference-based tools

OmnibusX consistently outperforms Azimuth across diverse datasets and tissues. While Azimuth struggles with datasets not included in its reference set, OmnibusX maintains reliable performance and adaptability to external data.

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Even as cluster dispersion increases, OmnibusX shows only a slight decline in accuracy, whereas Azimuth performance drops significantly. This demonstrates OmnibusX capability in handling dispersed clusters

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