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

Summary: 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...

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Autores principales: Harrington, Eoghan D., Arumugam, Manimozhiyan, Raes, Jeroen, Bork, Peer, Relman, David A.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982155/
https://www.ncbi.nlm.nih.gov/pubmed/20966005
http://dx.doi.org/10.1093/bioinformatics/btq564
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author Harrington, Eoghan D.
Arumugam, Manimozhiyan
Raes, Jeroen
Bork, Peer
Relman, David A.
author_facet Harrington, Eoghan D.
Arumugam, Manimozhiyan
Raes, Jeroen
Bork, Peer
Relman, David A.
author_sort Harrington, Eoghan D.
collection PubMed
description Summary: 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. Availability: The SmashCell source code and a comprehensive manual are available at http://asiago.stanford.edu/SmashCell Contact: eoghanh@stanford.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-29821552010-11-16 SmashCell: a software framework for the analysis of single-cell amplified genome sequences Harrington, Eoghan D. Arumugam, Manimozhiyan Raes, Jeroen Bork, Peer Relman, David A. Bioinformatics Applications Note Summary: 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. Availability: The SmashCell source code and a comprehensive manual are available at http://asiago.stanford.edu/SmashCell Contact: eoghanh@stanford.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-12-01 2010-10-21 /pmc/articles/PMC2982155/ /pubmed/20966005 http://dx.doi.org/10.1093/bioinformatics/btq564 Text en Published by Oxford University Press on behalf of the US Government 2010. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Harrington, Eoghan D.
Arumugam, Manimozhiyan
Raes, Jeroen
Bork, Peer
Relman, David A.
SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title_full SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title_fullStr SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title_full_unstemmed SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title_short SmashCell: a software framework for the analysis of single-cell amplified genome sequences
title_sort smashcell: a software framework for the analysis of single-cell amplified genome sequences
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982155/
https://www.ncbi.nlm.nih.gov/pubmed/20966005
http://dx.doi.org/10.1093/bioinformatics/btq564
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