Can inferred provenance and its visualisation be used to detect erroneous annotation? A case study using UniProtKB.

ABSTRACT: 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 originated from. Within this work we attempt to identify annotation provenance and track its subsequent propagation. Specifically, we exploit annotation reuse within the UniProt Knowledgebase (UniProtKB), at the level of individual sentences. We describe a visualisation approach for the provenance and

SUBMITTER: Bell MJ 

PROVIDER: S-EPMC3797126 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature