Showcase to Illustrate how the web-server pLoc_Deep-mGpos is working

Article ID

S2UG7

Showcase to Illustrate how the web-server pLoc_Deep-mGpos is working

Kuo-Chen Chou
Kuo-Chen Chou
DOI

Abstract

In 2020, a very powerful web-server predictor has been established for identifying the subcellular localization of human proteins based on the sequence information alone [1], in which a same protein may occur or move between two or more location sites and hence needs to be marked with the multi-label approach [2]. The web-server predictor is called “pLoc_Deep-mGpos”, where “Deep” means the web-server has been further improved by the “Deep Learning” technique [3-6], and “m” means the capacity able to deal with the multi-label systems. To learn how the web-server is working, please do the following. Step 1: Click the link at http://www.jci-bioinfo.cn/pLoc_Deep-mGpos/, the top page of the pLoc_bal-mGpos web-server will appear on your computer screen, as shown in Fig.1. Click on the Read Me button to see a brief introduction about the predictor.

Showcase to Illustrate how the web-server pLoc_Deep-mGpos is working

In 2020, a very powerful web-server predictor has been established for identifying the subcellular localization of human proteins based on the sequence information alone [1], in which a same protein may occur or move between two or more location sites and hence needs to be marked with the multi-label approach [2]. The web-server predictor is called “pLoc_Deep-mGpos”, where “Deep” means the web-server has been further improved by the “Deep Learning” technique [3-6], and “m” means the capacity able to deal with the multi-label systems. To learn how the web-server is working, please do the following. Step 1: Click the link at http://www.jci-bioinfo.cn/pLoc_Deep-mGpos/, the top page of the pLoc_bal-mGpos web-server will appear on your computer screen, as shown in Fig.1. Click on the Read Me button to see a brief introduction about the predictor.

Kuo-Chen Chou
Kuo-Chen Chou

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Kuo-Chen Chou. 2020. “. Global Journal of Science Frontier Research – G: Bio-Tech & Genetics GJSFR-G Volume 20 (GJSFR Volume 20 Issue G1): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Issue Cover
GJSFR Volume 20 Issue G1
Pg. 25- 27
Classification
GJSFR-G Classification: FOR Code: 100499, 080505
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Showcase to Illustrate how the web-server pLoc_Deep-mGpos is working

Kuo-Chen Chou
Kuo-Chen Chou

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