Literature DB >> 21723960

Enhancing phylogeography by improving geographical information from GenBank.

Matthew Scotch1, Indra Neil Sarkar2, Changjiang Mei3, Robert Leaman4, Kei-Hoi Cheung5, Pierina Ortiz6, Ashutosh Singraur7, Graciela Gonzalez8.   

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.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Databases; Geographic Locations; Nucleic Acid; Phylogeography

Mesh:

Year:  2011        PMID: 21723960      PMCID: PMC3199023          DOI: 10.1016/j.jbi.2011.06.005

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  10 in total

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Review 3.  Natural Language Processing methods and systems for biomedical ontology learning.

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4.  A statistical phylogeography of influenza A H5N1.

Authors:  Robert G Wallace; Hoangminh Hodac; Richard H Lathrop; Walter M Fitch
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5.  BANNER: an executable survey of advances in biomedical named entity recognition.

Authors:  Robert Leaman; Graciela Gonzalez
Journal:  Pac Symp Biocomput       Date:  2008

6.  BEAST: Bayesian evolutionary analysis by sampling trees.

Authors:  Alexei J Drummond; Andrew Rambaut
Journal:  BMC Evol Biol       Date:  2007-11-08       Impact factor: 3.260

7.  Bayesian phylogeography finds its roots.

Authors:  Philippe Lemey; Andrew Rambaut; Alexei J Drummond; Marc A Suchard
Journal:  PLoS Comput Biol       Date:  2009-09-25       Impact factor: 4.475

8.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2007-12-11       Impact factor: 16.971

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Journal:  Genome Biol       Date:  2008-09-01       Impact factor: 13.583

  10 in total
  21 in total

1.  A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.

Authors:  Tasnia Tahsin; Davy Weissenbacher; Robert Rivera; Rachel Beard; Mari Firago; Garrick Wallstrom; Matthew Scotch; Graciela Gonzalez
Journal:  J Am Med Inform Assoc       Date:  2016-01-17       Impact factor: 4.497

2.  GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.

Authors:  Tasnia Tahsin; Davy Weissenbacher; Karen O'Connor; Arjun Magge; Matthew Scotch; Graciela Gonzalez-Hernandez
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3.  GenBank as a Source to Monitor and Analyze Host-Microbiome Data.

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Journal:  Bioinformatics       Date:  2022-07-08       Impact factor: 6.931

4.  Phylogeography of swine influenza H3N2 in the United States: translational public health for zoonotic disease surveillance.

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5.  Phylodynamics of H5N1 Highly Pathogenic Avian Influenza in Europe, 2005-2010: Potential for Molecular Surveillance of New Outbreaks.

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6.  Knowledge-driven geospatial location resolution for phylogeographic models of virus migration.

Authors:  Davy Weissenbacher; Tasnia Tahsin; Rachel Beard; Mari Figaro; Robert Rivera; Matthew Scotch; Graciela Gonzalez
Journal:  Bioinformatics       Date:  2015-06-15       Impact factor: 6.937

7.  A global phylogenetic analysis in order to determine the host species and geography dependent features present in the evolution of avian H9N2 influenza hemagglutinin.

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8.  Natural language processing methods for enhancing geographic metadata for phylogeography of zoonotic viruses.

Authors:  Tasnia Tahsin; Rachel Beard; Robert Rivera; Rob Lauder; Garrick Wallstrom; Matthew Scotch; Graciela Gonzalez
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2014-04-07

9.  Applications of Bayesian Phylodynamic Methods in a Recent U.S. Porcine Reproductive and Respiratory Syndrome Virus Outbreak.

Authors:  Mohammad A Alkhamis; Andres M Perez; Michael P Murtaugh; Xiong Wang; Robert B Morrison
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10.  Phylogeography of influenza A H5N1 clade 2.2.1.1 in Egypt.

Authors:  Matthew Scotch; Changjiang Mei; Yilma J Makonnen; Julio Pinto; AbdelHakim Ali; Sally Vegso; Michael Kane; Indra Neil Sarkar; Peter Rabinowitz
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