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SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles
SUMMARY: To unlock the full potential of genome data and to enhance data interoperability and reusability of genome annotations we have developed SAPP, a Semantic Annotation Platform with Provenance. SAPP is designed as an infrastructure supporting FAIR de novo computational genomics but can also be...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905645/ https://www.ncbi.nlm.nih.gov/pubmed/29186322 http://dx.doi.org/10.1093/bioinformatics/btx767 |
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author | Koehorst, Jasper J van Dam, Jesse C J Saccenti, Edoardo Martins dos Santos, Vitor A P Suarez-Diez, Maria Schaap, Peter J |
author_facet | Koehorst, Jasper J van Dam, Jesse C J Saccenti, Edoardo Martins dos Santos, Vitor A P Suarez-Diez, Maria Schaap, Peter J |
author_sort | Koehorst, Jasper J |
collection | PubMed |
description | SUMMARY: To unlock the full potential of genome data and to enhance data interoperability and reusability of genome annotations we have developed SAPP, a Semantic Annotation Platform with Provenance. SAPP is designed as an infrastructure supporting FAIR de novo computational genomics but can also be used to process and analyze existing genome annotations. SAPP automatically predicts, tracks and stores structural and functional annotations and associated dataset- and element-wise provenance in a Linked Data format, thereby enabling information mining and retrieval with Semantic Web technologies. This greatly reduces the administrative burden of handling multiple analysis tools and versions thereof and facilitates multi-level large scale comparative analysis. AVAILABILITY AND IMPLEMENTATION: SAPP is written in JAVA and freely available at https://gitlab.com/sapp and runs on Unix-like operating systems. The documentation, examples and a tutorial are available at https://sapp.gitlab.io. |
format | Online Article Text |
id | pubmed-5905645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59056452018-04-23 SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles Koehorst, Jasper J van Dam, Jesse C J Saccenti, Edoardo Martins dos Santos, Vitor A P Suarez-Diez, Maria Schaap, Peter J Bioinformatics Applications Notes SUMMARY: To unlock the full potential of genome data and to enhance data interoperability and reusability of genome annotations we have developed SAPP, a Semantic Annotation Platform with Provenance. SAPP is designed as an infrastructure supporting FAIR de novo computational genomics but can also be used to process and analyze existing genome annotations. SAPP automatically predicts, tracks and stores structural and functional annotations and associated dataset- and element-wise provenance in a Linked Data format, thereby enabling information mining and retrieval with Semantic Web technologies. This greatly reduces the administrative burden of handling multiple analysis tools and versions thereof and facilitates multi-level large scale comparative analysis. AVAILABILITY AND IMPLEMENTATION: SAPP is written in JAVA and freely available at https://gitlab.com/sapp and runs on Unix-like operating systems. The documentation, examples and a tutorial are available at https://sapp.gitlab.io. Oxford University Press 2018-04-15 2017-11-23 /pmc/articles/PMC5905645/ /pubmed/29186322 http://dx.doi.org/10.1093/bioinformatics/btx767 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Koehorst, Jasper J van Dam, Jesse C J Saccenti, Edoardo Martins dos Santos, Vitor A P Suarez-Diez, Maria Schaap, Peter J SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title | SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title_full | SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title_fullStr | SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title_full_unstemmed | SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title_short | SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles |
title_sort | sapp: functional genome annotation and analysis through a semantic framework using fair principles |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905645/ https://www.ncbi.nlm.nih.gov/pubmed/29186322 http://dx.doi.org/10.1093/bioinformatics/btx767 |
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