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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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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. |
format | Online Article Text |
id | pubmed-4217279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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