Cargando…

easyDAS: Automatic creation of DAS servers

BACKGROUND: The Distributed Annotation System (DAS) has proven to be a successful way to publish and share biological data. Although there are more than 750 active registered servers from around 50 organizations, setting up a DAS server comprises a fair amount of work, making it difficult for many r...

Descripción completa

Detalles Bibliográficos
Autores principales: Gel Moreno, Bernat, Jenkinson, Andrew M, Jimenez, Rafael C, Messeguer Peypoch, Xavier, Hermjakob, Henning
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031199/
https://www.ncbi.nlm.nih.gov/pubmed/21244646
http://dx.doi.org/10.1186/1471-2105-12-23
_version_ 1782197324132384768
author Gel Moreno, Bernat
Jenkinson, Andrew M
Jimenez, Rafael C
Messeguer Peypoch, Xavier
Hermjakob, Henning
author_facet Gel Moreno, Bernat
Jenkinson, Andrew M
Jimenez, Rafael C
Messeguer Peypoch, Xavier
Hermjakob, Henning
author_sort Gel Moreno, Bernat
collection PubMed
description BACKGROUND: The Distributed Annotation System (DAS) has proven to be a successful way to publish and share biological data. Although there are more than 750 active registered servers from around 50 organizations, setting up a DAS server comprises a fair amount of work, making it difficult for many research groups to share their biological annotations. Given the clear advantage that the generalized sharing of relevant biological data is for the research community it would be desirable to facilitate the sharing process. RESULTS: Here we present easyDAS, a web-based system enabling anyone to publish biological annotations with just some clicks. The system, available at http://www.ebi.ac.uk/panda-srv/easydas is capable of reading different standard data file formats, process the data and create a new publicly available DAS source in a completely automated way. The created sources are hosted on the EBI systems and can take advantage of its high storage capacity and network connection, freeing the data provider from any network management work. easyDAS is an open source project under the GNU LGPL license. CONCLUSIONS: easyDAS is an automated DAS source creation system which can help many researchers in sharing their biological data, potentially increasing the amount of relevant biological data available to the scientific community.
format Text
id pubmed-3031199
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-30311992011-02-01 easyDAS: Automatic creation of DAS servers Gel Moreno, Bernat Jenkinson, Andrew M Jimenez, Rafael C Messeguer Peypoch, Xavier Hermjakob, Henning BMC Bioinformatics Software BACKGROUND: The Distributed Annotation System (DAS) has proven to be a successful way to publish and share biological data. Although there are more than 750 active registered servers from around 50 organizations, setting up a DAS server comprises a fair amount of work, making it difficult for many research groups to share their biological annotations. Given the clear advantage that the generalized sharing of relevant biological data is for the research community it would be desirable to facilitate the sharing process. RESULTS: Here we present easyDAS, a web-based system enabling anyone to publish biological annotations with just some clicks. The system, available at http://www.ebi.ac.uk/panda-srv/easydas is capable of reading different standard data file formats, process the data and create a new publicly available DAS source in a completely automated way. The created sources are hosted on the EBI systems and can take advantage of its high storage capacity and network connection, freeing the data provider from any network management work. easyDAS is an open source project under the GNU LGPL license. CONCLUSIONS: easyDAS is an automated DAS source creation system which can help many researchers in sharing their biological data, potentially increasing the amount of relevant biological data available to the scientific community. BioMed Central 2011-01-18 /pmc/articles/PMC3031199/ /pubmed/21244646 http://dx.doi.org/10.1186/1471-2105-12-23 Text en Copyright © 2011 Gel et al; licensee BioMed Central Ltd. https://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 (https://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
Gel Moreno, Bernat
Jenkinson, Andrew M
Jimenez, Rafael C
Messeguer Peypoch, Xavier
Hermjakob, Henning
easyDAS: Automatic creation of DAS servers
title easyDAS: Automatic creation of DAS servers
title_full easyDAS: Automatic creation of DAS servers
title_fullStr easyDAS: Automatic creation of DAS servers
title_full_unstemmed easyDAS: Automatic creation of DAS servers
title_short easyDAS: Automatic creation of DAS servers
title_sort easydas: automatic creation of das servers
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031199/
https://www.ncbi.nlm.nih.gov/pubmed/21244646
http://dx.doi.org/10.1186/1471-2105-12-23
work_keys_str_mv AT gelmorenobernat easydasautomaticcreationofdasservers
AT jenkinsonandrewm easydasautomaticcreationofdasservers
AT jimenezrafaelc easydasautomaticcreationofdasservers
AT messeguerpeypochxavier easydasautomaticcreationofdasservers
AT hermjakobhenning easydasautomaticcreationofdasservers