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Cell Diversity

Cell Diversity

The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular organisms...

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Related Experiment Video

Updated: Jun 21, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

UCSC Cell Browser: visualize your single-cell data.

Matthew L Speir¹, Aparna Bhaduri², Nikolay S Markov³

¹Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.

Bioinformatics (Oxford, England)

|July 10, 2021

Summary

This summary is machine-generated.

The UCSC Cell Browser offers a free website and Python package for scientists to visualize and explore complex single-cell gene expression data. This tool aids in understanding large single-cell datasets.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

The increasing volume and complexity of single-cell data necessitate advanced analytical tools.
Effective visualization is crucial for interpreting gene expression patterns and metadata in single-cell studies.

Purpose of the Study:

To introduce the UCSC Cell Browser, a tool designed for exploring large single-cell datasets.
To provide scientists with accessible resources for single-cell data visualization and analysis.

Main Methods:

Development of a free website for exploring curated single-cell datasets.
Creation of a freely available Python package for generating custom single-cell visualizations.

Main Results:

The UCSC Cell Browser facilitates the visualization of gene expression and metadata across single-cell datasets.
The platform supports the exploration of both individual and multiple single-cell datasets.

Conclusions:

The UCSC Cell Browser serves as a valuable, free resource for the scientific community.
The tool empowers researchers to analyze and interpret complex single-cell genomics data more effectively.