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ReadXplorer—visualization and analysis of mapped sequences

Motivation: Fast algorithms and well-arranged visualizations are required for the comprehensive analysis of the ever-growing size of genomic and transcriptomic next-generation sequencing data. Results: ReadXplorer is a software offering straightforward visualization and extensive analysis functions...

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Autores principales: Hilker, Rolf, Stadermann, Kai Bernd, Doppmeier, Daniel, Kalinowski, Jörn, Stoye, Jens, Straube, Jasmin, Winnebald, Jörn, Goesmann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217279/
https://www.ncbi.nlm.nih.gov/pubmed/24790157
http://dx.doi.org/10.1093/bioinformatics/btu205
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author Hilker, Rolf
Stadermann, Kai Bernd
Doppmeier, Daniel
Kalinowski, Jörn
Stoye, Jens
Straube, Jasmin
Winnebald, Jörn
Goesmann, Alexander
author_facet Hilker, Rolf
Stadermann, Kai Bernd
Doppmeier, Daniel
Kalinowski, Jörn
Stoye, Jens
Straube, Jasmin
Winnebald, Jörn
Goesmann, Alexander
author_sort Hilker, Rolf
collection PubMed
description Motivation: Fast algorithms and well-arranged visualizations are required for the comprehensive analysis of the ever-growing size of genomic and transcriptomic next-generation sequencing data. Results: ReadXplorer is a software offering straightforward visualization and extensive analysis functions for genomic and transcriptomic DNA sequences mapped on a reference. A unique specialty of ReadXplorer is the quality classification of the read mappings. It is incorporated in all analysis functions and displayed in ReadXplorer's various synchronized data viewers for (i) the reference sequence, its base coverage as (ii) normalizable plot and (iii) histogram, (iv) read alignments and (v) read pairs. ReadXplorer's analysis capability covers RNA secondary structure prediction, single nucleotide polymorphism and deletion–insertion polymorphism detection, genomic feature and general coverage analysis. Especially for RNA-Seq data, it offers differential gene expression analysis, transcription start site and operon detection as well as RPKM value and read count calculations. Furthermore, ReadXplorer can combine or superimpose coverage of different datasets. Availability and implementation: ReadXplorer is available as open-source software at http://www.readxplorer.org along with a detailed manual. Contact: rhilker@mikrobio.med.uni-giessen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-42172792014-11-03 ReadXplorer—visualization and analysis of mapped sequences Hilker, Rolf Stadermann, Kai Bernd Doppmeier, Daniel Kalinowski, Jörn Stoye, Jens Straube, Jasmin Winnebald, Jörn Goesmann, Alexander Bioinformatics Original Papers Motivation: Fast algorithms and well-arranged visualizations are required for the comprehensive analysis of the ever-growing size of genomic and transcriptomic next-generation sequencing data. Results: ReadXplorer is a software offering straightforward visualization and extensive analysis functions for genomic and transcriptomic DNA sequences mapped on a reference. A unique specialty of ReadXplorer is the quality classification of the read mappings. It is incorporated in all analysis functions and displayed in ReadXplorer's various synchronized data viewers for (i) the reference sequence, its base coverage as (ii) normalizable plot and (iii) histogram, (iv) read alignments and (v) read pairs. ReadXplorer's analysis capability covers RNA secondary structure prediction, single nucleotide polymorphism and deletion–insertion polymorphism detection, genomic feature and general coverage analysis. Especially for RNA-Seq data, it offers differential gene expression analysis, transcription start site and operon detection as well as RPKM value and read count calculations. Furthermore, ReadXplorer can combine or superimpose coverage of different datasets. Availability and implementation: ReadXplorer is available as open-source software at http://www.readxplorer.org along with a detailed manual. Contact: rhilker@mikrobio.med.uni-giessen.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-08-15 2014-04-30 /pmc/articles/PMC4217279/ /pubmed/24790157 http://dx.doi.org/10.1093/bioinformatics/btu205 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Hilker, Rolf
Stadermann, Kai Bernd
Doppmeier, Daniel
Kalinowski, Jörn
Stoye, Jens
Straube, Jasmin
Winnebald, Jörn
Goesmann, Alexander
ReadXplorer—visualization and analysis of mapped sequences
title ReadXplorer—visualization and analysis of mapped sequences
title_full ReadXplorer—visualization and analysis of mapped sequences
title_fullStr ReadXplorer—visualization and analysis of mapped sequences
title_full_unstemmed ReadXplorer—visualization and analysis of mapped sequences
title_short ReadXplorer—visualization and analysis of mapped sequences
title_sort readxplorer—visualization and analysis of mapped sequences
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217279/
https://www.ncbi.nlm.nih.gov/pubmed/24790157
http://dx.doi.org/10.1093/bioinformatics/btu205
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