Source: Briefings in bioinformatics [Brief Bioinform] 2022 Jan 17; Vol. 23 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach.

Authors : Lv H; Center for Informational Biology at the University of Electronic Science and Technology of China, Chengdu 610054, China.; Dao FY

Subjects: Software* ; COVID-19 Drug Treatment*; Phosphorylation/Phosphorylation/Phosphorylation/*genetics

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Nov 05; Vol. 22 (6).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.

Authors : Lv H; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.; Shi L

Subjects: Drug Discovery* ; COVID-19 Drug Treatment*; COVID-19 Vaccines/COVID-19 Vaccines/COVID-19 Vaccines/*genetics

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Nov 05; Vol. 22 (6).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

Authors : Dao FY; Informational Biology at University of Electronic Science and Technology of China, China.; Lv H

Subjects: Deep Learning* ; Software*; Arabidopsis/Arabidopsis/Arabidopsis/*genetics

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Sep 02; Vol. 22 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A sequence-based deep learning approach to predict CTCF-mediated chromatin loop.

Authors : Lv H; Informational Biology at University of Electronic Science and Technology of China.; Dao FY

Subjects: Genome, Human* ; Neural Networks, Computer*; CCCTC-Binding Factor/CCCTC-Binding Factor/CCCTC-Binding Factor/*genetics

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Sep 02; Vol. 22 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops.

Authors : Dao FY; Center for Informational Biology at the University of Electronic Science and Technology of China.; Lv H

Subjects: Databases, Factual* ; Deep Learning* ; Models, Biological*

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method.

Authors : Lv H; Center for Informational Biology at the University of Electronic Science and Technology of China.; Dao FY

Subjects: Databases, Protein* ; Deep Learning* ; Protein Processing, Post-Translational*

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A computational platform to identify origins of replication sites in eukaryotes.

Authors : Dao FY; Center for Informational Biology at University of Electronic Science and Technology of China.; Lv H

Subjects: Replication Origin*; Algorithms ; Animals

Source: Briefings in bioinformatics [Brief Bioinform] 2021 Mar 22; Vol. 22 (2), pp. 1940-1950.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae.

Authors : Yang H; Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.; Yang W

Subjects: Recombination, Genetic*; Computational Biology/Computational Biology/Computational Biology/*methods ; Saccharomyces cerevisiae/Saccharomyces cerevisiae/Saccharomyces cerevisiae/*genetics

Source: Briefings in bioinformatics [Brief Bioinform] 2020 Sep 25; Vol. 21 (5), pp. 1568-1580.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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