ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2011
Towards Structuring Unstructured GenBank Metadata for Enhancing Comparative Biological Studies.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- GenBank as a source to monitor and analyze Host-Microbiome data.Bioinformatics (Oxford, England) · 2022Article
- GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.Bioinformatics (Oxford, England) · 2018Article
- Named entity linking of geospatial and host metadata in GenBank for advancing biomedical research.Database : the journal of biological databases and curation · 2017Article
- A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Leveraging biodiversity knowledge for potential phyto-therapeutic applications.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Within large sequence repositories such as GenBank there is a wealth of metadata providing contextual information that may enhance search and retrieval of relevant sequences for a range of subsequent analyses. One challenge is the use of free-text in these metadata fields where approaches are needed to extract, structure, and encode essential information. The goal of the present study was to explore the feasibility of using a combination of existing resources for annotating unstructured GenBank metadata, initially focusing on the "host" and "isolation_source" fields. This paper summarizes early results for 10 host organisms that include a characterization of associated isolation sources with respect to biomedical ontologies and semantic types. The findings from this preliminary study provide insights to the rich amount of information captured within these unstructured metadata, guidance for addressing the challenges and issues encountered, and highlight the potential value for enriching comparative biological studies towards improving human health.
Identifiers
22211174PMC3248757What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.