Automated detection of records in biological sequence databases that are inconsistent with the literature-Reference-Cited by-同舟云学术

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Automated detection of records in biological sequence databases that are inconsistent with the literature

Published:2017-07 Issue: Volume:71 Page:229-240
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Bouadjenek Mohamed Reda,Verspoor Karin^ORCID,Zobel Justin

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference62 articles.

1. A classification of biological data artifacts;Koh,2005

2. Evaluation of a machine learning duplicate detection method for bioinformatics databases;Chen,2015

3. Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study;Chen;Database,2017

4. Duplicate detection in biological data using association rule mining;Koh,2004

5. Errors in genome annotation;Brenner;Trends Genet.,1999

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