QUASSI – Quantifying Significance of MHC II Residues

QUASSI

:: DESCRIPTION

QUASSI is a project to solve integer linear programming problem proposed in bioinformatics

::DEVELOPER

QUASSI team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • JRE

:: DOWNLOAD

 QUASSI

:: MORE INFORMATION

Citation

Quantifying Significance of MHC II Residues.
Ying Fan, Ruoshui Lu, Lusheng Wang, Andreatta M, Shuai Cheng Li.
IEEE/ACM Trans Comput Biol Bioinform. 2014 Jan-Feb;11(1):17-25. doi: 10.1109/TCBB.2013.138.

MHC2SKpan 1.0 – MHC-II Peptide Binding prediction

MHC2SKpan 1.0

:: DESCRIPTION

MHC2SKpan is a novel kernel based approach for pan-specific MHC class II peptide binding prediction

::DEVELOPER

Lab of Data Mining and Intelligent Information Processing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web server
:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

BMC Genomics. 2013;14 Suppl 5:S11. doi: 10.1186/1471-2164-14-S5-S11. Epub 2013 Oct 16.
MHC2SKpan: a novel kernel based approach for pan-specific MHC class II peptide binding prediction.
Guo L, Luo C, Zhu S.

MHC2MIL – Multiple-Instance Learning based approach for MHC-II Peptide Binding prediction

MHC2MIL

:: DESCRIPTION

MHC2MIL is a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.

::DEVELOPER

Lab of Data Mining and Intelligent Information Processing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web server
:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

BMC Genomics. 2014;15 Suppl 9:S9. doi: 10.1186/1471-2164-15-S9-S9. Epub 2014 Dec 8.
MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.
Xu Y, Luo C, Qian M, Huang X, Zhu S.