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Related Experiment Video

Updated: Sep 27, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Interactive single-cell data analysis using Cellar.

Euxhen Hasanaj¹, Jingtao Wang², Arjun Sarathi³

¹Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

Nature Communications

|April 15, 2022

Summary

This summary is machine-generated.

Cellar is a new open-source software tool that streamlines cell type assignment for high-throughput single-cell data. It offers interactive support for dataset comparison and analysis across multiple platforms and modalities.

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Area of Science:

Computational Biology
Bioinformatics
Genomics

Background:

Cell type assignment is a critical and often manual step in analyzing high-throughput single-cell data.
Current methods require extensive use of external data sources, hindering consistency across large-scale projects.

Purpose of the Study:

To develop an integrated software tool, Cellar, for uniform and interactive cell type assignment.
To facilitate dataset comparison and analysis across diverse single-cell data types and platforms.

Main Methods:

Cellar provides interactive support for cell type assignment and dataset comparison.
The tool integrates methods for handling various data types, combining complementary data, and analyzing spatial data.

Main Results:

Cellar was successfully used to annotate multiple HuBMAP datasets from multi-omics single-cell sequencing and spatial proteomics studies.
The software demonstrates advantages in annotating complex, multi-modal datasets.

Conclusions:

Cellar offers a robust, open-source solution to improve the efficiency and uniformity of cell type assignment in single-cell genomics.
The tool supports diverse data modalities and facilitates cross-dataset comparisons for large consortia.