SmashCell: A software framework for the analysis of single-cell amplified genome sequences

Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Bioinformatics (Impact Factor: 4.98). 10/2010; 26(23):2979-80. DOI: 10.1093/bioinformatics/btq564
Source: PubMed


Recent advances in single-cell manipulation technology, whole genome amplification and high-throughput sequencing have now made it possible to sequence the genome of an individual cell. The bioinformatic analysis of these genomes, however, is far more complicated than the analysis of those generated using traditional, culture-based methods. In order to simplify this analysis, we have developed SmashCell (Simple Metagenomics Analysis SHell-for sequences from single Cells). It is designed to automate the main steps in microbial genome analysis-assembly, gene prediction, functional annotation-in a way that allows parameter and algorithm exploration at each step in the process. It also manages the data created by these analyses and provides visualization methods for rapid analysis of the results.
The SmashCell source code and a comprehensive manual are available at
Supplementary data are available at Bioinformatics online.

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Available from: David A Relman,
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    • "Over the last few years, several software packages for single-cell assembly have been released that address the problem of highly variable coverage rate in MDAderived data. SmashCell (Simple Metagenomics Analysis SHell-for sequences from single Cells) is a software framework that combines assembly, gene prediction, and annotation of single-cell data (Harrington et al., 2010). Assemblers that followed were IDBA-UD (Peng et al., 2012) and Velvet-sc . "
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