Literature DB >> 18428773

PubSearch and PubFetch: a simple management system for semiautomated retrieval and annotation of biological information from the literature.

Danny Yoo1, Iris Xu, Tanya Z Berardini, Seung Yon Rhee, Vijay Narayanasamy, Simon Twigger.   

Abstract

For most systems in biology, a large body of literature exists that describes the complexity of the system based on experimental results. Manual review of this literature to extract targeted information into biological databases is difficult and time consuming. To address this problem, we developed PubSearch and PubFetch, which store literature, keyword, and gene information in a relational database, index the literature with keywords and gene names, and provide a Web user interface for annotating the genes from experimental data found in the associated literature. A set of protocols is provided in this unit for installing, populating, running, and using PubSearch and PubFetch. In addition, we provide support protocols for performing controlled vocabulary annotations. Intended users of PubSearch and PubFetch are database curators and biology researchers interested in tracking the literature and capturing information about genes of interest in a more effective way than with conventional spreadsheets and lab notebooks.

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Year:  2006        PMID: 18428773     DOI: 10.1002/0471250953.bi0907s13

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  6 in total

1.  The Arabidopsis information resource: Making and mining the "gold standard" annotated reference plant genome.

Authors:  Tanya Z Berardini; Leonore Reiser; Donghui Li; Yarik Mezheritsky; Robert Muller; Emily Strait; Eva Huala
Journal:  Genesis       Date:  2015-08-04       Impact factor: 2.487

2.  Building an efficient curation workflow for the Arabidopsis literature corpus.

Authors:  Donghui Li; Tanya Z Berardini; Robert J Muller; Eva Huala
Journal:  Database (Oxford)       Date:  2012-12-06       Impact factor: 3.451

3.  PubMedPortable: A Framework for Supporting the Development of Text Mining Applications.

Authors:  Kersten Döring; Björn A Grüning; Kiran K Telukunta; Philippe Thomas; Stefan Günther
Journal:  PLoS One       Date:  2016-10-05       Impact factor: 3.240

4.  AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

Authors:  Lisa Harper; Jacqueline Campbell; Ethalinda K S Cannon; Sook Jung; Monica Poelchau; Ramona Walls; Carson Andorf; Elizabeth Arnaud; Tanya Z Berardini; Clayton Birkett; Steve Cannon; James Carson; Bradford Condon; Laurel Cooper; Nathan Dunn; Christine G Elsik; Andrew Farmer; Stephen P Ficklin; David Grant; Emily Grau; Nic Herndon; Zhi-Liang Hu; Jodi Humann; Pankaj Jaiswal; Clement Jonquet; Marie-Angélique Laporte; Pierre Larmande; Gerard Lazo; Fiona McCarthy; Naama Menda; Christopher J Mungall; Monica C Munoz-Torres; Sushma Naithani; Rex Nelson; Daureen Nesdill; Carissa Park; James Reecy; Leonore Reiser; Lacey-Anne Sanderson; Taner Z Sen; Margaret Staton; Sabarinath Subramaniam; Marcela Karey Tello-Ruiz; Victor Unda; Deepak Unni; Liya Wang; Doreen Ware; Jill Wegrzyn; Jason Williams; Margaret Woodhouse; Jing Yu; Doreen Main
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

5.  PLAN2L: a web tool for integrated text mining and literature-based bioentity relation extraction.

Authors:  Martin Krallinger; Carlos Rodriguez-Penagos; Ashish Tendulkar; Alfonso Valencia
Journal:  Nucleic Acids Res       Date:  2009-06-11       Impact factor: 16.971

6.  Assessment of community-submitted ontology annotations from a novel database-journal partnership.

Authors:  Tanya Z Berardini; Donghui Li; Robert Muller; Raymond Chetty; Larry Ploetz; Shanker Singh; April Wensel; Eva Huala
Journal:  Database (Oxford)       Date:  2012-08-01       Impact factor: 3.451

  6 in total

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