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PEACE: Parallel Environment for Assembly and Clustering of Gene Expression
We present PEACE, a stand-alone tool for high-throughput ab initio clustering of transcript fragment sequences produced by Next Generation or Sanger Sequencing technologies. It is freely available from www.peace-tools.org. Installed and managed through a downloadable user-friendly graphical user int...
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/PMC2896108/ https://www.ncbi.nlm.nih.gov/pubmed/20522511 http://dx.doi.org/10.1093/nar/gkq470 |
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author | Rao, D. M. Moler, J. C. Ozden, M. Zhang, Y. Liang, C. Karro, J. E. |
author_facet | Rao, D. M. Moler, J. C. Ozden, M. Zhang, Y. Liang, C. Karro, J. E. |
author_sort | Rao, D. M. |
collection | PubMed |
description | We present PEACE, a stand-alone tool for high-throughput ab initio clustering of transcript fragment sequences produced by Next Generation or Sanger Sequencing technologies. It is freely available from www.peace-tools.org. Installed and managed through a downloadable user-friendly graphical user interface (GUI), PEACE can process large data sets of transcript fragments of length 50 bases or greater, grouping the fragments by gene associations with a sensitivity comparable to leading clustering tools. Once clustered, the user can employ the GUI's analysis functions, facilitating the easy collection of statistics and allowing them to single out specific clusters for more comprehensive study or assembly. Using a novel minimum spanning tree-based clustering method, PEACE is the equal of leading tools in the literature, with an interface making it accessible to any user. It produces results of quality virtually identical to those of the WCD tool when applied to Sanger sequences, significantly improved results over WCD and TGICL when applied to the products of Next Generation Sequencing Technology and significantly improved results over Cap3 in both cases. In short, PEACE provides an intuitive GUI and a feature-rich, parallel clustering engine that proves to be a valuable addition to the leading cDNA clustering tools. |
format | Text |
id | pubmed-2896108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961082010-07-02 PEACE: Parallel Environment for Assembly and Clustering of Gene Expression Rao, D. M. Moler, J. C. Ozden, M. Zhang, Y. Liang, C. Karro, J. E. Nucleic Acids Res Stand-Alone Programs for High-Throughput Data We present PEACE, a stand-alone tool for high-throughput ab initio clustering of transcript fragment sequences produced by Next Generation or Sanger Sequencing technologies. It is freely available from www.peace-tools.org. Installed and managed through a downloadable user-friendly graphical user interface (GUI), PEACE can process large data sets of transcript fragments of length 50 bases or greater, grouping the fragments by gene associations with a sensitivity comparable to leading clustering tools. Once clustered, the user can employ the GUI's analysis functions, facilitating the easy collection of statistics and allowing them to single out specific clusters for more comprehensive study or assembly. Using a novel minimum spanning tree-based clustering method, PEACE is the equal of leading tools in the literature, with an interface making it accessible to any user. It produces results of quality virtually identical to those of the WCD tool when applied to Sanger sequences, significantly improved results over WCD and TGICL when applied to the products of Next Generation Sequencing Technology and significantly improved results over Cap3 in both cases. In short, PEACE provides an intuitive GUI and a feature-rich, parallel clustering engine that proves to be a valuable addition to the leading cDNA clustering tools. Oxford University Press 2010-07-01 2010-06-03 /pmc/articles/PMC2896108/ /pubmed/20522511 http://dx.doi.org/10.1093/nar/gkq470 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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 | Stand-Alone Programs for High-Throughput Data Rao, D. M. Moler, J. C. Ozden, M. Zhang, Y. Liang, C. Karro, J. E. PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title | PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title_full | PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title_fullStr | PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title_full_unstemmed | PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title_short | PEACE: Parallel Environment for Assembly and Clustering of Gene Expression |
title_sort | peace: parallel environment for assembly and clustering of gene expression |
topic | Stand-Alone Programs for High-Throughput Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896108/ https://www.ncbi.nlm.nih.gov/pubmed/20522511 http://dx.doi.org/10.1093/nar/gkq470 |
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