{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T18:22:28Z","timestamp":1778523748528,"version":"3.51.4"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: The avalanche of genomic sequences generated in the post-genomic age requires efficient computational methods for rapidly and accurately identifying biological features from sequence information. Towards this goal, we developed a freely available and open-source package, called PseKNC-General (the general form of pseudo k-tuple nucleotide composition), that allows for fast and accurate computation of all the widely used nucleotide structural and physicochemical properties of both DNA and RNA sequences. PseKNC-General can generate several modes of pseudo nucleotide compositions, including conventional k-tuple nucleotide compositions, Moreau\u2013Broto autocorrelation coefficient, Moran autocorrelation coefficient, Geary autocorrelation coefficient, Type I PseKNC and Type II PseKNC. In every mode, &amp;gt;100 physicochemical properties are available for choosing. Moreover, it is flexible enough to allow the users to calculate PseKNC with user-defined properties. The package can be run on Linux, Mac and Windows systems and also provides a graphical user interface.<\/jats:p>\n               <jats:p>Availability and implementation: The package is freely available at: http:\/\/lin.uestc.edu.cn\/server\/pseknc .<\/jats:p>\n               <jats:p>Contact: \u00a0chenweiimu@gmail.com or lqzhang@vt.edu or kcchou@gordonlifescience.org .<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu602","type":"journal-article","created":{"date-parts":[[2014,9,18]],"date-time":"2014-09-18T04:36:19Z","timestamp":1411014979000},"page":"119-120","source":"Crossref","is-referenced-by-count":203,"title":["PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions"],"prefix":"10.1093","volume":"31","author":[{"given":"Wei","family":"Chen","sequence":"first","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xitong","family":"Zhang","sequence":"additional","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordan","family":"Brooker","sequence":"additional","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Lin","sequence":"additional","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liqing","family":"Zhang","sequence":"additional","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuo-Chen","family":"Chou","sequence":"additional","affiliation":[{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"1 Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan 063009, China, 2 Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, 3 School of Life Science and Technology, Bioinformatics and Computer-Aided Drug Discovery, Gordon Life Science Institute, Boston, MA 02478, 4 Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, 5 Department of Computer Science, Vassar College, Poughkeepsie, NY 12604, USA, 6 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 7 Excellence in Genomic Medicine Research, Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2014,9,16]]},"reference":[{"key":"2023020116151211800_btu602-B1","doi-asserted-by":"crossref","first-page":"e68","DOI":"10.1093\/nar\/gks1450","article-title":"iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition","volume":"41","author":"Chen","year":"2013","journal-title":"Nucleic Acids Res."},{"key":"2023020116151211800_btu602-B2","first-page":"623149","article-title":"iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition","volume":"2014","author":"Chen","year":"2014","journal-title":"BioMed Res. 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