Related Experiment Video
Updated: Jun 7, 2026
10:00
An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
Published on: May 23, 2018
SmashCell: a software framework for the analysis of single-cell amplified genome sequences
Eoghan D Harrington1, Manimozhiyan Arumugam, Jeroen Raes
1Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA. eoghanh@stanford.edu
Bioinformatics (Oxford, England)
|October 23, 2010
Summary
SmashCell simplifies microbial genome analysis from single cells by automating assembly, gene prediction, and functional annotation. This tool aids researchers in exploring parameters and visualizing results for complex single-cell genomic data.
Area of Science:
- Genomics
- Bioinformatics
- Microbiology
Background:
- Single-cell sequencing technologies have advanced significantly.
- Bioinformatic analysis of single-cell genomes presents unique challenges compared to traditional methods.
Purpose of the Study:
- To develop a user-friendly tool for simplifying microbial genome analysis from single cells.
- To automate key bioinformatic steps including assembly, gene prediction, and functional annotation.
Main Methods:
- Developed SmashCell (Simple Metagenomics Analysis SHell-for sequences from single Cells).
- Integrated automated assembly, gene prediction, and functional annotation.
- Enabled parameter and algorithm exploration at each analysis step.
- Included data management and visualization features.
Main Results:
- SmashCell automates core microbial genome analysis pipelines.
- The tool allows for flexible exploration of analytical parameters and algorithms.
- Data management and visualization capabilities facilitate rapid interpretation of results.
Conclusions:
- SmashCell effectively simplifies the complex bioinformatic analysis of single-cell microbial genomes.
- The software provides a comprehensive solution for researchers working with single-cell genomic data.
