POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles

@article{Wang2017POSSUMAB,
  title={POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles},
  author={Jiawei Wang and Bingjiao Yang and Jerico Nico De Leon Revote and Andr{\'e} Leier and Tatiana T. Marquez-Lago and Geoffrey I. Webb and Jiangning Song and Kuo-Chen Chou and Trevor Lithgow},
  journal={Bioinformatics},
  year={2017},
  volume={33 17},
  pages={2756-2758}
}
Summary Evolutionary information in the form of a Position-Specific Scoring Matrix (PSSM) is a widely used and highly informative representation of protein sequences. Accordingly, PSSM-based feature descriptors have been successfully applied to improve the performance of various predictors of protein attributes. Even though a number of algorithms have been proposed in previous studies, there is currently no universal web server or toolkit available for generating this wide variety of… CONTINUE READING
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