UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences
With the avalanche of biological sequences in public databases, one of the most challenging problems in computational biology is to predict their biological functions and cellular attributes. Most of the existing prediction algorithms can only handle fixed-length numerical vectors. Therefore, it is...
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doaj-6139f60dd07a4059963970572085a0792020-11-25T00:53:00ZengMDPI AGInternational Journal of Molecular Sciences1422-00672017-11-011811240010.3390/ijms18112400ijms18112400UltraPse: A Universal and Extensible Software Platform for Representing Biological SequencesPu-Feng Du0Wei Zhao1Yang-Yang Miao2Le-Yi Wei3Likun Wang4School of Computer Science and Technology, Tianjin University, Tianjin 300350, ChinaSchool of Computer Science and Technology, Tianjin University, Tianjin 300350, ChinaSchool of Computer Science and Technology, Tianjin University, Tianjin 300350, ChinaSchool of Computer Science and Technology, Tianjin University, Tianjin 300350, ChinaInstitute of Systems Biomedicine, Beijing Key Laboratory of Tumor Systems Biology, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, ChinaWith the avalanche of biological sequences in public databases, one of the most challenging problems in computational biology is to predict their biological functions and cellular attributes. Most of the existing prediction algorithms can only handle fixed-length numerical vectors. Therefore, it is important to be able to represent biological sequences with various lengths using fixed-length numerical vectors. Although several algorithms, as well as software implementations, have been developed to address this problem, these existing programs can only provide a fixed number of representation modes. Every time a new sequence representation mode is developed, a new program will be needed. In this paper, we propose the UltraPse as a universal software platform for this problem. The function of the UltraPse is not only to generate various existing sequence representation modes, but also to simplify all future programming works in developing novel representation modes. The extensibility of UltraPse is particularly enhanced. It allows the users to define their own representation mode, their own physicochemical properties, or even their own types of biological sequences. Moreover, UltraPse is also the fastest software of its kind. The source code package, as well as the executables for both Linux and Windows platforms, can be downloaded from the GitHub repository.https://www.mdpi.com/1422-0067/18/11/2400pseudo-amino acid compositionspseudo-k nucleotide compositionsextensible software |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pu-Feng Du Wei Zhao Yang-Yang Miao Le-Yi Wei Likun Wang |
spellingShingle |
Pu-Feng Du Wei Zhao Yang-Yang Miao Le-Yi Wei Likun Wang UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences International Journal of Molecular Sciences pseudo-amino acid compositions pseudo-k nucleotide compositions extensible software |
author_facet |
Pu-Feng Du Wei Zhao Yang-Yang Miao Le-Yi Wei Likun Wang |
author_sort |
Pu-Feng Du |
title |
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences |
title_short |
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences |
title_full |
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences |
title_fullStr |
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences |
title_full_unstemmed |
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences |
title_sort |
ultrapse: a universal and extensible software platform for representing biological sequences |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2017-11-01 |
description |
With the avalanche of biological sequences in public databases, one of the most challenging problems in computational biology is to predict their biological functions and cellular attributes. Most of the existing prediction algorithms can only handle fixed-length numerical vectors. Therefore, it is important to be able to represent biological sequences with various lengths using fixed-length numerical vectors. Although several algorithms, as well as software implementations, have been developed to address this problem, these existing programs can only provide a fixed number of representation modes. Every time a new sequence representation mode is developed, a new program will be needed. In this paper, we propose the UltraPse as a universal software platform for this problem. The function of the UltraPse is not only to generate various existing sequence representation modes, but also to simplify all future programming works in developing novel representation modes. The extensibility of UltraPse is particularly enhanced. It allows the users to define their own representation mode, their own physicochemical properties, or even their own types of biological sequences. Moreover, UltraPse is also the fastest software of its kind. The source code package, as well as the executables for both Linux and Windows platforms, can be downloaded from the GitHub repository. |
topic |
pseudo-amino acid compositions pseudo-k nucleotide compositions extensible software |
url |
https://www.mdpi.com/1422-0067/18/11/2400 |
work_keys_str_mv |
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