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QuasR: quantification and annotation of short reads in R
Summary: QuasR is a package for the integrated analysis of high-throughput sequencing data in R, covering all steps from read preprocessing, alignment and quality control to quantification. QuasR supports different experiment types (including RNA-seq, ChIP-seq and Bis-seq) and analysis variants (e.g...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382904/ https://www.ncbi.nlm.nih.gov/pubmed/25417205 http://dx.doi.org/10.1093/bioinformatics/btu781 |
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author | Gaidatzis, Dimos Lerch, Anita Hahne, Florian Stadler, Michael B. |
author_facet | Gaidatzis, Dimos Lerch, Anita Hahne, Florian Stadler, Michael B. |
author_sort | Gaidatzis, Dimos |
collection | PubMed |
description | Summary: QuasR is a package for the integrated analysis of high-throughput sequencing data in R, covering all steps from read preprocessing, alignment and quality control to quantification. QuasR supports different experiment types (including RNA-seq, ChIP-seq and Bis-seq) and analysis variants (e.g. paired-end, stranded, spliced and allele-specific), and is integrated in Bioconductor so that its output can be directly processed for statistical analysis and visualization. Availability and implementation: QuasR is implemented in R and C/C++. Source code and binaries for major platforms (Linux, OS X and MS Windows) are available from Bioconductor (www.bioconductor.org/packages/release/bioc/html/QuasR.html). The package includes a ‘vignette’ with step-by-step examples for typical work flows. Contact: michael.stadler@fmi.ch Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4382904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43829042015-04-08 QuasR: quantification and annotation of short reads in R Gaidatzis, Dimos Lerch, Anita Hahne, Florian Stadler, Michael B. Bioinformatics Applications Notes Summary: QuasR is a package for the integrated analysis of high-throughput sequencing data in R, covering all steps from read preprocessing, alignment and quality control to quantification. QuasR supports different experiment types (including RNA-seq, ChIP-seq and Bis-seq) and analysis variants (e.g. paired-end, stranded, spliced and allele-specific), and is integrated in Bioconductor so that its output can be directly processed for statistical analysis and visualization. Availability and implementation: QuasR is implemented in R and C/C++. Source code and binaries for major platforms (Linux, OS X and MS Windows) are available from Bioconductor (www.bioconductor.org/packages/release/bioc/html/QuasR.html). The package includes a ‘vignette’ with step-by-step examples for typical work flows. Contact: michael.stadler@fmi.ch Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-04-01 2014-12-09 /pmc/articles/PMC4382904/ /pubmed/25417205 http://dx.doi.org/10.1093/bioinformatics/btu781 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Gaidatzis, Dimos Lerch, Anita Hahne, Florian Stadler, Michael B. QuasR: quantification and annotation of short reads in R |
title | QuasR: quantification and annotation of short reads in R |
title_full | QuasR: quantification and annotation of short reads in R |
title_fullStr | QuasR: quantification and annotation of short reads in R |
title_full_unstemmed | QuasR: quantification and annotation of short reads in R |
title_short | QuasR: quantification and annotation of short reads in R |
title_sort | quasr: quantification and annotation of short reads in r |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382904/ https://www.ncbi.nlm.nih.gov/pubmed/25417205 http://dx.doi.org/10.1093/bioinformatics/btu781 |
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