Title: SmashCell: a software framework for the analysis of single-cell amplified genome sequences
Authors: Harrington, Eoghan D ×
Arumugam, Manimozhiyan
Raes, Jeroen
Bork, Peer
Relman, David A #
Issue Date: Dec-2010
Publisher: Oxford University Press
Series Title: Bioinformatics vol:26 issue:23 pages:2979-2980
Article number: 10.1093/bioinformatics/btq564
Abstract: 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.
ISSN: 1367-4803
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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