Immune epitope database analysis resource (IEDB-AR)

Research output: Contribution to journalJournal articleResearchpeer-review

  • Qing Zhang
  • Peng Wang
  • Yohan Kim
  • Pernille Haste-Andersen
  • John Beaver
  • Philip E Bourne
  • Huynh-Hoa Bui
  • Soren Buus
  • Sune Frankild
  • Jason Greenbaum
  • Ole Lund
  • Claus Lundegaard
  • Morten Nielsen
  • Julia Ponomarenko
  • Alessandro Sette
  • Zhanyang Zhu
  • Bjoern Peters
We present a new release of the immune epitope database analysis resource (IEDB-AR, http://tools.immuneepitope.org), a repository of web-based tools for the prediction and analysis of immune epitopes. New functionalities have been added to most of the previously implemented tools, and a total of eight new tools were added, including two B-cell epitope prediction tools, four T-cell epitope prediction tools and two analysis tools.
Original languageEnglish
JournalNucleic Acids Research
Volume36
Issue numberWeb Server issue
Pages (from-to)W513-8
ISSN0305-1048
DOIs
Publication statusPublished - 2008

Bibliographical note

Keywords: Computer Graphics; Databases, Factual; Epitopes, B-Lymphocyte; Epitopes, T-Lymphocyte; Histocompatibility Antigens Class I; Histocompatibility Antigens Class II; Internet; Peptides; Proteins; Software

ID: 8693736