RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins

• Rasna R. Walia ,

  * E-mail: rwalia@iastate.edu

  Affiliations Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa, United States of America, Department of Computer Science, Iowa State University, Ames, Iowa, United States of America

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• Li C. Xue,

  Affiliation College of Information Sciences and Technology, Pennsylvania State University, University Park, Pennsylvania, United States of America

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• Katherine Wilkins,

  Affiliations Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, United States of America, Graduate Field of Computational Biology, Cornell University, Ithaca, New York, United States of America

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• Yasser El-Manzalawy,

  Affiliation Department of Systems and Computer Engineering, Al-Azhar University, Cairo, Egypt

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• Drena Dobbs,

  Affiliations Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa, United States of America, Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, Iowa, United States of America

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• Vasant Honavar

  Affiliations College of Information Sciences and Technology, Pennsylvania State University, University Park, Pennsylvania, United States of America, Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania, United States of America, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, United States of America

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