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PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions
Wei Chen1, Xitong Zhang2, Jordan Brooker2
1Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, Excellence in Genomic Medicine Research, Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China and Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, Excellence in Genomic Medicine Research, Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China and Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, Chin
This study introduces PseKNC-General, an open-source tool for rapid and accurate analysis of DNA and RNA sequences. It computes various nucleotide properties, aiding biological feature identification in the post-genomic era.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- The post-genomic era generates vast amounts of sequence data.
- Efficient computational methods are crucial for identifying biological features from this data.
Purpose of the Study:
- To develop a versatile computational tool for analyzing DNA and RNA sequences.
- To enable fast and accurate computation of nucleotide properties for biological feature identification.
Main Methods:
- Developed PseKNC-General, a freely available, open-source package.
- Implemented computation of conventional k-tuple nucleotide compositions and various pseudo nucleotide compositions (Type I, Type II).
- Included Moreau-Broto, Moran, and Geary autocorrelation coefficients, with over 100 physicochemical properties.
Main Results:
- PseKNC-General supports multiple modes of pseudo nucleotide compositions.
- The package allows calculation using user-defined properties.
- It offers flexibility with over 100 available physicochemical properties.
Conclusions:
- PseKNC-General provides an efficient and accurate solution for analyzing genomic sequences.
- The tool supports DNA and RNA analysis across Linux, Mac, and Windows systems.
- It includes a user-friendly graphical interface and is readily available for research use.
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