Abstract：
:Phylogeography is a field that focuses on the geographical lineages of species such as vertebrates or viruses. Here, geographical data, such as location of a species or viral host is as important as the sequence information extracted from the species. Together, this information can help illustrate the migration of the species over time within a geographical area, the impact of geography over the evolutionary history, or the expected population of the species within the area. Molecular sequence data from NCBI, specifically GenBank, provide an abundance of available sequence data for phylogeography. However, geographical data is inconsistently represented and sparse across GenBank entries. This can impede analysis and in situations where the geographical information is inferred, and potentially lead to erroneous results. In this paper, we describe the current state of geographical data in GenBank, and illustrate how automated processing techniques such as named entity recognition, can enhance the geographical data available for phylogeographic studies.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Scotch M,Sarkar IN,Mei C,Leaman R,Cheung KH,Ortiz P,Singraur A,Gonzalez Gdoi
10.1016/j.jbi.2011.06.005subject
Has Abstractpub_date
2011-12-01 00:00:00pages
S44-7eissn
1532-0464issn
1532-0480pii
S1532-0464(11)00105-5journal_volume
44 Suppl 1pub_type
杂志文章abstract：:Previous research on standardization of eligibility criteria and its feasibility has traditionally been conducted on clinical trial protocols from ClinicalTrials.gov (CT). The portability and use of such standardization for full-text industry-standard protocols has not been studied in-depth. Towards this end, in this ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.06.001
更新日期：2013-10-01 00:00:00
abstract：:The Gene Ontology (GO), a set of three sub-ontologies, is one of the most popular bio-ontologies used for describing gene product characteristics. GO annotation data containing terms from multiple sub-ontologies and at different levels in the ontologies is an important source of implicit relationships between terms fr...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.06.012
更新日期：2013-10-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.07.015
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.07.010
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.09.005
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103208
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2008.01.009
更新日期：2008-12-01 00:00:00
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.06.014
更新日期：2015-12-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.09.008
更新日期：2017-11-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2003.09.005
更新日期：2003-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.02.007
更新日期：2015-04-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.01.002
更新日期：2012-06-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2014.10.002
更新日期：2015-02-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.12.002
更新日期：2013-04-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103324
更新日期：2019-12-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.12.012
更新日期：2018-02-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.11.005
更新日期：2010-06-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.06.024
更新日期：2015-12-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.05.008
更新日期：2015-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.05.009
更新日期：2017-07-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2004.11.007
更新日期：2005-04-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2007.11.006
更新日期：2008-08-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103634
更新日期：2021-01-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.08.007
更新日期：2013-12-01 00:00:00
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journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.04.009
更新日期：2013-08-01 00:00:00
abstract：:Probabilistic record linkage is a method commonly used to determine whether demographic records refer to the same person. The Fellegi-Sunter method is a probabilistic approach that uses field weights based on log likelihood ratios to determine record similarity. This paper introduces an extension of the Fellegi-Sunter...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.08.004
更新日期：2010-02-01 00:00:00
