z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom