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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...

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Detalles Bibliográficos
Autores principales: Massouras, Andreas, Decouttere, Frederik, Hens, Korneel, Deplancke, Bart
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
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.
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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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