readat: An R package for reading and working with SomaLogic ADAT files

BACKGROUND: SomaLogic’s SOMAscan™ assay platform allows the analysis of the relative abundance of over 1300 proteins directly from biological matrices such as blood plasma and serum. The data resulting from the assay is provided in a proprietary text-based format not easily imported into R. RESULTS:...

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Detalles Bibliográficos
Autores principales: Cotton, Richard J., Graumann, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857291/
https://www.ncbi.nlm.nih.gov/pubmed/27146037
http://dx.doi.org/10.1186/s12859-016-1007-8
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author Cotton, Richard J.
Graumann, Johannes
author_facet Cotton, Richard J.
Graumann, Johannes
author_sort Cotton, Richard J.
collection PubMed
description BACKGROUND: SomaLogic’s SOMAscan™ assay platform allows the analysis of the relative abundance of over 1300 proteins directly from biological matrices such as blood plasma and serum. The data resulting from the assay is provided in a proprietary text-based format not easily imported into R. RESULTS: readat is an R package for working with the SomaLogic ADAT file format. It provides functionality for importing, transforming and annotating data from these files. The package is free, open source, and available on Bioconductor and Bitbucket. CONCLUSIONS: readat integrates into both Bioconductor and traditional R workflows, rendering it easy to make use of ADAT files. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1007-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-48572912016-05-19 readat: An R package for reading and working with SomaLogic ADAT files Cotton, Richard J. Graumann, Johannes BMC Bioinformatics Software BACKGROUND: SomaLogic’s SOMAscan™ assay platform allows the analysis of the relative abundance of over 1300 proteins directly from biological matrices such as blood plasma and serum. The data resulting from the assay is provided in a proprietary text-based format not easily imported into R. RESULTS: readat is an R package for working with the SomaLogic ADAT file format. It provides functionality for importing, transforming and annotating data from these files. The package is free, open source, and available on Bioconductor and Bitbucket. CONCLUSIONS: readat integrates into both Bioconductor and traditional R workflows, rendering it easy to make use of ADAT files. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1007-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-04 /pmc/articles/PMC4857291/ /pubmed/27146037 http://dx.doi.org/10.1186/s12859-016-1007-8 Text en © Cotton et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Cotton, Richard J.
Graumann, Johannes
readat: An R package for reading and working with SomaLogic ADAT files
title readat: An R package for reading and working with SomaLogic ADAT files
title_full readat: An R package for reading and working with SomaLogic ADAT files
title_fullStr readat: An R package for reading and working with SomaLogic ADAT files
title_full_unstemmed readat: An R package for reading and working with SomaLogic ADAT files
title_short readat: An R package for reading and working with SomaLogic ADAT files
title_sort readat: an r package for reading and working with somalogic adat files
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857291/
https://www.ncbi.nlm.nih.gov/pubmed/27146037
http://dx.doi.org/10.1186/s12859-016-1007-8
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