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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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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. |
format | Text |
id | pubmed-2982155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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