HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.
The HTSstation analysis portal is a suite of simple web forms coupled to modular analysis pipelines for various applications of High-Throughput Sequencing including ChIP-seq, RNA-seq, 4C-seq and re-sequencing. HTSstation offers biologists the possibility to rapidly investigate their HTS data using a...
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2014
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oai:doaj.org-article:cd966563ea37422396601dabde2422492021-11-18T08:35:46ZHTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.1932-620310.1371/journal.pone.0085879https://doaj.org/article/cd966563ea37422396601dabde2422492014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24475057/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The HTSstation analysis portal is a suite of simple web forms coupled to modular analysis pipelines for various applications of High-Throughput Sequencing including ChIP-seq, RNA-seq, 4C-seq and re-sequencing. HTSstation offers biologists the possibility to rapidly investigate their HTS data using an intuitive web application with heuristically pre-defined parameters. A number of open-source software components have been implemented and can be used to build, configure and run HTS analysis pipelines reactively. Besides, our programming framework empowers developers with the possibility to design their own workflows and integrate additional third-party software. The HTSstation web application is accessible at http://htsstation.epfl.ch.Fabrice P A DavidJulien DelafontaineSolenne CaratFrederick J RossGregory LefebvreYohan JaroszLucas SinclairDaan NoordermeerJacques RougemontMarion LeleuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e85879 (2014) |
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Medicine R Science Q Fabrice P A David Julien Delafontaine Solenne Carat Frederick J Ross Gregory Lefebvre Yohan Jarosz Lucas Sinclair Daan Noordermeer Jacques Rougemont Marion Leleu HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
description |
The HTSstation analysis portal is a suite of simple web forms coupled to modular analysis pipelines for various applications of High-Throughput Sequencing including ChIP-seq, RNA-seq, 4C-seq and re-sequencing. HTSstation offers biologists the possibility to rapidly investigate their HTS data using an intuitive web application with heuristically pre-defined parameters. A number of open-source software components have been implemented and can be used to build, configure and run HTS analysis pipelines reactively. Besides, our programming framework empowers developers with the possibility to design their own workflows and integrate additional third-party software. The HTSstation web application is accessible at http://htsstation.epfl.ch. |
format |
article |
author |
Fabrice P A David Julien Delafontaine Solenne Carat Frederick J Ross Gregory Lefebvre Yohan Jarosz Lucas Sinclair Daan Noordermeer Jacques Rougemont Marion Leleu |
author_facet |
Fabrice P A David Julien Delafontaine Solenne Carat Frederick J Ross Gregory Lefebvre Yohan Jarosz Lucas Sinclair Daan Noordermeer Jacques Rougemont Marion Leleu |
author_sort |
Fabrice P A David |
title |
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
title_short |
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
title_full |
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
title_fullStr |
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
title_full_unstemmed |
HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
title_sort |
htsstation: a web application and open-access libraries for high-throughput sequencing data analysis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2014 |
url |
https://doaj.org/article/cd966563ea37422396601dabde242249 |
work_keys_str_mv |
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