Prediction of Sphingosine protein-coding regions with a self adaptive spectral rotation method

Prediction of Sphingosine protein-coding regions with a self adaptive spectral rotation method
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利用自适应光谱旋转方法预测鞘氨醇蛋白编码区

DOI:
10.1371/journal.pone.0214442
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发表时间:
2019-04
期刊:
影响因子:
3.7
通讯作者:
Zhu Hu
Zhu Hu
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Li Zhongwei;Guan Yanan;Yuan Xiang;Zheng Pan;Zhu Hu

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Identifying protein coding regions in DNA sequences by computational methods is an active research topic. Welan gum produced by Sphingomonas sp. WG has great application potential in oil recovery and concrete construction industry. Predicting the coding regions in the Sphingomonas sp. WG genome and addressing the mechanism underlying the explanation for the synthesis of Welan gum metabolism is an important issue at present. In this study, we apply a self adaptive spectral rotation (SASR, for short) method, which is based on the investigation of the Triplet Periodicity property, to predict the coding regions of the whole-genome data of Sphingomonas sp. WG without any previous training process, and 1115 suspected gene fragments are obtained. Suspected gene fragments are subjected to a similarity search against the non-redundant protein sequences (nr) database of NCBI with blastx, and 762 suspected gene fragments have been labeled as genes in the nr database.
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影响因子: --
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影响因子: 2.6
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