Automated Improvement of Domain ANnotations using context analysis of domain arrangements (AIDAN)
Author(s) -
Francois Beaussart,
January Weiner,
Erich BornbergBauer
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm240
Subject(s) - domain (mathematical analysis) , annotation , computer science , context (archaeology) , information retrieval , protein domain , sequence (biology) , data science , artificial intelligence , biology , genetics , mathematical analysis , mathematics , gene , paleontology
Since protein domains are the units of evolution, databases of domain signatures such as ProDom or Pfam enable both a sensitive and selective sequence analysis. However, manually curated databases have a low coverage and automatically generated ones often miss relationships which have not yet been discovered between domains or cannot display similarities between domains which have drifted apart.
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