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plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants

High-throughput sequencing techniques have made it possible to assay an organism's entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide free web services to the research community...

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Autores principales: Patra, Deblina, Fasold, Mario, Langenberger, David, Steger, Gerhard, Grosse, Ivo, Stadler, Peter F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274896/
https://www.ncbi.nlm.nih.gov/pubmed/25566282
http://dx.doi.org/10.3389/fpls.2014.00708
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author Patra, Deblina
Fasold, Mario
Langenberger, David
Steger, Gerhard
Grosse, Ivo
Stadler, Peter F.
author_facet Patra, Deblina
Fasold, Mario
Langenberger, David
Steger, Gerhard
Grosse, Ivo
Stadler, Peter F.
author_sort Patra, Deblina
collection PubMed
description High-throughput sequencing techniques have made it possible to assay an organism's entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide free web services to the research community that provide many basic features of a small RNA-seq analysis, including quality control, read normalization, ncRNA quantification, and the prediction of putative novel ncRNAs. DARIO is one such system that so far has been focussed on animals. Here we introduce an extension of this system to plant short non-coding RNAs (sncRNAs). It includes major modifications to cope with plant-specific sncRNA processing. The current version of plantDARIO covers analyses of mapping files, small RNA-seq quality control, expression analyses of annotated sncRNAs, including the prediction of novel miRNAs and snoRNAs from unknown expressed loci and expression analyses of user-defined loci. At present Arabidopsis thaliana, Beta vulgaris, and Solanum lycopersicum are covered. The web tool links to a plant specific visualization browser to display the read distribution of the analyzed sample. The easy-to-use platform of plantDARIO quantifies RNA expression of annotated sncRNAs from different sncRNA databases together with new sncRNAs, annotated by our group. The plantDARIO website can be accessed at http://plantdario.bioinf.uni-leipzig.de/.
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spelling pubmed-42748962015-01-06 plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants Patra, Deblina Fasold, Mario Langenberger, David Steger, Gerhard Grosse, Ivo Stadler, Peter F. Front Plant Sci Plant Science High-throughput sequencing techniques have made it possible to assay an organism's entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide free web services to the research community that provide many basic features of a small RNA-seq analysis, including quality control, read normalization, ncRNA quantification, and the prediction of putative novel ncRNAs. DARIO is one such system that so far has been focussed on animals. Here we introduce an extension of this system to plant short non-coding RNAs (sncRNAs). It includes major modifications to cope with plant-specific sncRNA processing. The current version of plantDARIO covers analyses of mapping files, small RNA-seq quality control, expression analyses of annotated sncRNAs, including the prediction of novel miRNAs and snoRNAs from unknown expressed loci and expression analyses of user-defined loci. At present Arabidopsis thaliana, Beta vulgaris, and Solanum lycopersicum are covered. The web tool links to a plant specific visualization browser to display the read distribution of the analyzed sample. The easy-to-use platform of plantDARIO quantifies RNA expression of annotated sncRNAs from different sncRNA databases together with new sncRNAs, annotated by our group. The plantDARIO website can be accessed at http://plantdario.bioinf.uni-leipzig.de/. Frontiers Media S.A. 2014-12-23 /pmc/articles/PMC4274896/ /pubmed/25566282 http://dx.doi.org/10.3389/fpls.2014.00708 Text en Copyright © 2014 Patra, Fasold, Langenberger, Steger, Grosse and Stadler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Patra, Deblina
Fasold, Mario
Langenberger, David
Steger, Gerhard
Grosse, Ivo
Stadler, Peter F.
plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title_full plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title_fullStr plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title_full_unstemmed plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title_short plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants
title_sort plantdario: web based quantitative and qualitative analysis of small rna-seq data in plants
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274896/
https://www.ncbi.nlm.nih.gov/pubmed/25566282
http://dx.doi.org/10.3389/fpls.2014.00708
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