SSpred – Splice Site Prediction with Regulatory Elements and Dependencies

SSpred

:: DESCRIPTION

SSPred is a splice site prediction toolchain which incorporated a statistical model of splicing signals built based on the entropy density profile (EDP) method, weight array method (WAM), and kappa test, and a model of splicing regulatory elements developed by an unsupervised self-learning method to detect motifs associated with splicing regulatory elements.

::DEVELOPER

ZhuLab, Peking Uiniversity, Beijing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 SSPred

:: MORE INFORMATION

PPTM 1.0 – Literature Mining of Protein Phosphorylation Using Dependency Parse Trees

PPTM 1.0

:: DESCRIPTION

PPTM is a web tool of novel text-mining method for efficiently retrieving and extracting protein phosphorylation information from literature.

::DEVELOPER

HI_Lab @ USTC

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Literature mining of protein phosphorylation using dependency parse trees.
Wang M, Xia H, Sun D, Chen Z, Wang M, Li A.
Methods. 2014 Jun 1;67(3):386-93. doi: 10.1016/j.ymeth.2014.01.008.

Dependency 2.1 – Detect Functional Interactions between Amino Acids in Proteins

Dependency 2.1

:: DESCRIPTION

Dependency is a program using Multiple Interdependency to detect functional interactions between amino acids in proteins.

::DEVELOPER

The Tillier Group

:: SCREENSHOTS

Dependency

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 Dependency

:: MORE INFORMATION

Citation:

Using multiple interdependency to separate functional from phylogenetic correlations in protein alignments
Elisabeth R. M. Tillier and Thomas W. H. Lui,
Bioinformatics (2003) 19: 750-755