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WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data
High-throughput sequencing (HTS) is revolutionizing our ability to obtain cheap, fast and reliable sequence information. Many experimental approaches are expected to benefit from the incorporation of such sequencing features in their pipeline. Consequently, software tools that facilitate such an inc...
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/PMC2896179/ https://www.ncbi.nlm.nih.gov/pubmed/20501601 http://dx.doi.org/10.1093/nar/gkq431 |
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author | Massouras, Andreas Decouttere, Frederik Hens, Korneel Deplancke, Bart |
author_facet | Massouras, Andreas Decouttere, Frederik Hens, Korneel Deplancke, Bart |
author_sort | Massouras, Andreas |
collection | PubMed |
description | High-throughput sequencing (HTS) is revolutionizing our ability to obtain cheap, fast and reliable sequence information. Many experimental approaches are expected to benefit from the incorporation of such sequencing features in their pipeline. Consequently, software tools that facilitate such an incorporation should be of great interest. In this context, we developed WebPrInSeS, a web server tool allowing automated full-length clone sequence identification and verification using HTS data. WebPrInSeS encompasses two separate software applications. The first is WebPrInSeS-C which performs automated sequence verification of user-defined open-reading frame (ORF) clone libraries. The second is WebPrInSeS-E, which identifies positive hits in cDNA or ORF-based library screening experiments such as yeast one- or two-hybrid assays. Both tools perform de novo assembly using HTS data from any of the three major sequencing platforms. Thus, WebPrInSeS provides a highly integrated, cost-effective and efficient way to sequence-verify or identify clones of interest. WebPrInSeS is available at http://webprinses.epfl.ch/ and is open to all users. |
format | Text |
id | pubmed-2896179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961792010-07-02 WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data Massouras, Andreas Decouttere, Frederik Hens, Korneel Deplancke, Bart Nucleic Acids Res Articles High-throughput sequencing (HTS) is revolutionizing our ability to obtain cheap, fast and reliable sequence information. Many experimental approaches are expected to benefit from the incorporation of such sequencing features in their pipeline. Consequently, software tools that facilitate such an incorporation should be of great interest. In this context, we developed WebPrInSeS, a web server tool allowing automated full-length clone sequence identification and verification using HTS data. WebPrInSeS encompasses two separate software applications. The first is WebPrInSeS-C which performs automated sequence verification of user-defined open-reading frame (ORF) clone libraries. The second is WebPrInSeS-E, which identifies positive hits in cDNA or ORF-based library screening experiments such as yeast one- or two-hybrid assays. Both tools perform de novo assembly using HTS data from any of the three major sequencing platforms. Thus, WebPrInSeS provides a highly integrated, cost-effective and efficient way to sequence-verify or identify clones of interest. WebPrInSeS is available at http://webprinses.epfl.ch/ and is open to all users. Oxford University Press 2010-07-01 2010-05-25 /pmc/articles/PMC2896179/ /pubmed/20501601 http://dx.doi.org/10.1093/nar/gkq431 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 | Articles Massouras, Andreas Decouttere, Frederik Hens, Korneel Deplancke, Bart WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title | WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title_full | WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title_fullStr | WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title_full_unstemmed | WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title_short | WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing data |
title_sort | webprinses: automated full-length clone sequence identification and verification using high-throughput sequencing data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896179/ https://www.ncbi.nlm.nih.gov/pubmed/20501601 http://dx.doi.org/10.1093/nar/gkq431 |
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