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EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation
The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have theref...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761108/ https://www.ncbi.nlm.nih.gov/pubmed/26896844 http://dx.doi.org/10.1093/database/baw005 |
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author | Pafilis, Evangelos Buttigieg, Pier Luigi Ferrell, Barbra Pereira, Emiliano Schnetzer, Julia Arvanitidis, Christos Jensen, Lars Juhl |
author_facet | Pafilis, Evangelos Buttigieg, Pier Luigi Ferrell, Barbra Pereira, Emiliano Schnetzer, Julia Arvanitidis, Christos Jensen, Lars Juhl |
author_sort | Pafilis, Evangelos |
collection | PubMed |
description | The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, well documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15–25% and helps curators to detect terms that would otherwise have been missed. Database URL: https://extract.hcmr.gr/ |
format | Online Article Text |
id | pubmed-4761108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47611082016-02-22 EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation Pafilis, Evangelos Buttigieg, Pier Luigi Ferrell, Barbra Pereira, Emiliano Schnetzer, Julia Arvanitidis, Christos Jensen, Lars Juhl Database (Oxford) Original Article The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, well documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15–25% and helps curators to detect terms that would otherwise have been missed. Database URL: https://extract.hcmr.gr/ Oxford University Press 2016-02-19 /pmc/articles/PMC4761108/ /pubmed/26896844 http://dx.doi.org/10.1093/database/baw005 Text en © The Author(s) 2016. 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 | Original Article Pafilis, Evangelos Buttigieg, Pier Luigi Ferrell, Barbra Pereira, Emiliano Schnetzer, Julia Arvanitidis, Christos Jensen, Lars Juhl EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title | EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title_full | EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title_fullStr | EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title_full_unstemmed | EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title_short | EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
title_sort | extract: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761108/ https://www.ncbi.nlm.nih.gov/pubmed/26896844 http://dx.doi.org/10.1093/database/baw005 |
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