SmashCell: a software framework for the analysis of single-cell amplified genome sequences.
CONCLUSIONS
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.


BACKGROUND
The SmashCell source code and a comprehensive manual are available at http://asiago.stanford.edu/SmashCell


BACKGROUND
eoghanh@stanford.edu


BACKGROUND
Supplementary data are available at Bioinformatics online.
Harrington
Eoghan D
ED
Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA. eoghanh@stanford.edu
Arumugam
Manimozhiyan
M
Raes
Jeroen
J
Bork
Peer
P
Relman
David A
DA
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods; D016678:Genome; D023281:Genomics / Q000379:methods*; D021141:Nucleic Acid Amplification Techniques; D017422:Sequence Analysis, DNA / Q000379:methods; D059010:Single-Cell Analysis; D012984:Software