• DOI:10.1371/journal.pone.0075541
Corpus ID: 15694308

Can Inferred Provenance and Its Visualisation Be Used to Detect Erroneous Annotation? A Case Study Using UniProtKB

@article{Bell2013CanIP,
  title={Can Inferred Provenance and Its Visualisation Be Used to Detect Erroneous Annotation? A Case Study Using UniProtKB},
  author={M. Bell and M. Collison and P. Lord},
  journal={PLoS ONE},
  year={2013},
  volume={8}
}

M. Bell, M. Collison, P. Lord

Published 2013

Computer Science, Biology, Medicine

PLoS ONE

A constant influx of new data poses a challenge in keeping the annotation in biological databases current. Most biological databases contain significant quantities of textual annotation, which often contains the richest source of knowledge. Many databases reuse existing knowledge; during the curation process annotations are often propagated between entries. However, this is often not made explicit. Therefore, it can be hard, potentially impossible, for a reader to identify where an annotation… CONTINUE READING

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