Cargando…

SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes

BACKGROUND: As larger datasets are produced with the development of genome-scale experimental techniques, it has become essential to explicitly describe the meta-data (information describing the data) generated by an experiment. The experimental process is a part of the meta-data required to interpr...

Descripción completa

Detalles Bibliográficos
Autores principales: Kawaji, Hideya, Hayashizaki, Yoshihide, Daub, Carsten O
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689195/
https://www.ncbi.nlm.nih.gov/pubmed/19422683
http://dx.doi.org/10.1186/1471-2105-10-133
_version_ 1782167757065814016
author Kawaji, Hideya
Hayashizaki, Yoshihide
Daub, Carsten O
author_facet Kawaji, Hideya
Hayashizaki, Yoshihide
Daub, Carsten O
author_sort Kawaji, Hideya
collection PubMed
description BACKGROUND: As larger datasets are produced with the development of genome-scale experimental techniques, it has become essential to explicitly describe the meta-data (information describing the data) generated by an experiment. The experimental process is a part of the meta-data required to interpret the produced data, and SDRF (Sample and Data Relationship Format) supports its description in a spreadsheet or tab-delimited file. This format was primarily developed to describe microarray studies in MAGE-tab, and it is being applied in a broader context in ISA-tab. While the format provides an explicit framework to describe experiments, increase of experimental steps makes it less obvious to understand the content of the SDRF files. RESULTS: Here, we describe a new tool, SDRF2GRAPH, for displaying experimental steps described in an SDRF file as an investigation design graph, a directed acyclic graph representing experimental steps. A spreadsheet, in Microsoft Excel for example, which is used to edit and inspect the descriptions, can be directly input via a web-based interface without converting to tab-delimited text. This makes it much easier to organize large contents of SDRF described in multiple spreadsheets. CONCLUSION: SDRF2GRAPH is applicable for a wide range of SDRF files for not only microarray-based analysis but also other genome-scale technologies, such as next generation sequencers. Visualization of the Investigation Design Graph (IDG) structure leads to an easy understanding of the experimental process described in the SDRF files even if the experiment is complicated, and such visualization also encourages the creation of SDRF files by providing prompt visual feedback.
format Text
id pubmed-2689195
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-26891952009-06-02 SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes Kawaji, Hideya Hayashizaki, Yoshihide Daub, Carsten O BMC Bioinformatics Software BACKGROUND: As larger datasets are produced with the development of genome-scale experimental techniques, it has become essential to explicitly describe the meta-data (information describing the data) generated by an experiment. The experimental process is a part of the meta-data required to interpret the produced data, and SDRF (Sample and Data Relationship Format) supports its description in a spreadsheet or tab-delimited file. This format was primarily developed to describe microarray studies in MAGE-tab, and it is being applied in a broader context in ISA-tab. While the format provides an explicit framework to describe experiments, increase of experimental steps makes it less obvious to understand the content of the SDRF files. RESULTS: Here, we describe a new tool, SDRF2GRAPH, for displaying experimental steps described in an SDRF file as an investigation design graph, a directed acyclic graph representing experimental steps. A spreadsheet, in Microsoft Excel for example, which is used to edit and inspect the descriptions, can be directly input via a web-based interface without converting to tab-delimited text. This makes it much easier to organize large contents of SDRF described in multiple spreadsheets. CONCLUSION: SDRF2GRAPH is applicable for a wide range of SDRF files for not only microarray-based analysis but also other genome-scale technologies, such as next generation sequencers. Visualization of the Investigation Design Graph (IDG) structure leads to an easy understanding of the experimental process described in the SDRF files even if the experiment is complicated, and such visualization also encourages the creation of SDRF files by providing prompt visual feedback. BioMed Central 2009-05-07 /pmc/articles/PMC2689195/ /pubmed/19422683 http://dx.doi.org/10.1186/1471-2105-10-133 Text en Copyright © 2009 Kawaji et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Kawaji, Hideya
Hayashizaki, Yoshihide
Daub, Carsten O
SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title_full SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title_fullStr SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title_full_unstemmed SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title_short SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes
title_sort sdrf2graph – a visualization tool of a spreadsheet-based description of experimental processes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689195/
https://www.ncbi.nlm.nih.gov/pubmed/19422683
http://dx.doi.org/10.1186/1471-2105-10-133
work_keys_str_mv AT kawajihideya sdrf2graphavisualizationtoolofaspreadsheetbaseddescriptionofexperimentalprocesses
AT hayashizakiyoshihide sdrf2graphavisualizationtoolofaspreadsheetbaseddescriptionofexperimentalprocesses
AT daubcarsteno sdrf2graphavisualizationtoolofaspreadsheetbaseddescriptionofexperimentalprocesses