The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
Open accessAbstract
With the avalanche of biological sequences generated in the post-genomic age, one of the most challenging problems in computational biology is how to effectively formulate the sequence of a biological sample (such as DNA, RNA or protein) with a discrete model or a vector that can effectively reflect its sequence pattern information or capture its key features concerned. Although several web servers and stand-alone tools were developed to address this problem, all these tools, however, can only handle one type of samples. Furthermore, the number of their built-in properties is limited, and hence it is often difficult for users to formulate the biological sequences according to their desired features or properties. In this article, with a much larger number of built-in properties, we are to propose a much more flexible web server called Pse-in-One (http://bioinformatics.hitsz.edu.cn/Pse-in-One/), which can, through its 28 different modes, generate nearly all the possible feature vectors for DNA, RNA and protein sequences. Particularly, it can also generate those feature vectors with the properties defined by users themselves. These feature vectors can be easily combined with machine-learning algorithms to develop computational predictors and analysis methods for various tasks in bioinformatics and system biology. It is anticipated that the Pse-in-One web server will become a very useful tool in computational proteomics, genomics, as well as biological sequence analysis. Moreover, to maximize users' convenience, its stand-alone version can also be downloaded from http://bioinformatics.hitsz.edu.cn/Pse-in-One/download/, and directly run on Windows, Linux, Unix and Mac OS.
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Citations
Cites
Prediction of protein cellular attributes using pseudo‐amino acid composition
Chou, K. (2001) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.1035 · Cited by 1,943
Self-citationSome remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Self-citationAAindex: amino acid index database, progress report 2008
Kawashima, S., Pokarowski, P., Pokarowska, M., Kolinski, A., Katayama, T., & Kanehisa, M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm998 · Cited by 1,129
Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
Chou, K.-C. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bth466 · Cited by 993
Self-citationGuo, Y., Yu, L., Wen, Z., & Li, M. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn159 · Cited by 697
iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
Chen, W., Feng, P.-M., Lin, H., & Chou, K.-C. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks1450 · Cited by 611
Self-citationImpacts of Bioinformatics to Medicinal Chemistry
Chou, K.-C. (2015) · Medicinal Chemistry · doi:10.2174/1573406411666141229162834 · Cited by 518
Self-citationLin, H., Deng, E.-Z., Ding, H., Chen, W., & Chou, K.-C. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1019 · Cited by 508
Self-citationPseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology
Chou, K.-C. (2009) · Current Proteomics · doi:10.2174/157016409789973707 · Cited by 478
Self-citationpropy: a tool to generate various modes of Chou’s PseAAC
Cao, D.-S., Xu, Q.-S., & Liang, Y.-Z. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt072 · Cited by 476
Cited by
Zou, Q., Xing, P., Wei, L., & Liu, B. (2019) · RNA · doi:10.1261/rna.069112.118 · Cited by 525
Self-citationLiu, B. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbx165 · Cited by 322
Self-citationiRNA-PseU: Identifying RNA pseudouridine sites
Chen, W., Tang, H., Ye, J., Lin, H., & Chou, K.-C. (2016) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2016.37 · Cited by 291
Self-citationWei, L., Xing, P., Zeng, J., Chen, J., Su, R., & Guo, F. (2017) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.03.001 · Cited by 242
Self-citationChen, C., Zhang, Q., Yu, B., Yu, Z., Lawrence, P. J., Ma, Q., & Zhang, Y. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103899 · Cited by 238
Metadata
- Authors
- Liu, B., Liu, F., Wang, X., Chen, J., Fang, L., & Chou, K.-C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-09
- Volume
- 43
- Issue
- W1
- Pages
- W65-W71
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W1494484168
- Cited by
- 721
- References
- 27
- FWCI
- 44.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Liu, B., Liu, F., Wang, X., Chen, J., Fang, L., & Chou, K.-C. (2015). Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/gkv458
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