:: DESCRIPTION
UniAlign is a new protein pairwise structure alignment algorithm that incorporates additional evolutionary information captured in the form of sequence similarity, sequence profiles, and residue conservation.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
UniAlign: Protein Structure Alignment Meets Evolution.
Zhao C, Sacan A.
Bioinformatics. 2015 Jun 9. pii: btv354.
:: DESCRIPTION
OrthoXML is designed broadly to allow the storage and comparison of orthology data from any ortholog database. It establishes a structure for describing orthology relationships while still allowing flexibility for database-specific information to be encapsulated in the same format.
The SeqXML schema (XSD) defines the skeletal structure of the sequence files and allows one to set constraints for each type of data it contains: for example, one can limit a DNA sequence to consist only of {A,G,C,T,N}. If one then tries to import a DNA sequence containing a ‘Z’, this error will be detected automatically by any XML validator.
:: DEVELOPER
Sonnhammer Bioinformatics Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: MORE INFORMATION
:: DESCRIPTION
SPAR (Self-interacting Protein AnalyzeR) was a predictor for self-interacting protein from sequence information. Based on comprehensive analysis of a variety of physiochemical properties on self-interacting proteins, a new encoding scheme named RSI has been designed.
::DEVELOPER
Ziding Zhang’s Lab, China Agricultural University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Amino Acids. 2016 Jul;48(7):1655-65. doi: 10.1007/s00726-016-2226-z.
SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information.
Liu X, Yang S, Li C, Zhang Z, Song J.
:: DESCRIPTION
TargetScore: a probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information
::DEVELOPER
Yue Li @ The Zhang Lab, University of Toronto
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2014 Mar 1;30(5):621-8. doi: 10.1093/bioinformatics/btt599. Epub 2013 Oct 17.
A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information.
Li Y1, Goldenberg A, Wong KC, Zhang Z.
