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Geoffrey I Webb

Showing results (41-50 of 78) with videos related to

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Briefings in Bioinformatics|November 7, 2022
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizationsYue Bi, Fuyi Li, Xudong Guo, et al.
Plos One|September 18, 2009
Prodepth: predict residue depth by support vector regression approach from protein sequences onlyJiangning Song, Hao Tan, Khalid Mahmood, et al.
Journal of Bioinformatics and Computational Biology|June 6, 2020
PROSPECT: A web server for predicting protein histidine phosphorylation sitesZhen Chen, Pei Zhao, Fuyi Li, et al.
Journal of Bioinformatics and Computational Biology|February 18, 2011
Bioinformatic approaches for predicting substrates of proteasesJiangning Song, Hao Tan, Sarah E Boyd, et al.
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2022
Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADELZhen Chen, Xuhan Liu, Fuyi Li, et al.
Protein Engineering, Design & Selection : PEDS|February 19, 2015
Structural and dynamic properties that govern the stability of an engineered fibronectin type III domainBenjamin T Porebski, Adrian A Nickson, David E Hoke, et al.
Briefings in Bioinformatics|November 13, 2019
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequencesZhen Chen, Pei Zhao, Fuyi Li, et al.
Briefings in Bioinformatics|October 24, 2018
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning frameworkYanju Zhang, Ruopeng Xie, Jiawei Wang, et al.
Briefings in Bioinformatics|October 26, 2016
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VIYi An, Jiawei Wang, Chen Li, et al.
Bioinformatics (Oxford, England)|February 16, 2023
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationshipsTong Pan, Chen Li, Yue Bi, et al.
Pageof 8

Showing results (41-50 of 78) with videos related to

Sort By:
Pageof 8
Briefings in Bioinformatics|November 7, 2022
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizationsYue Bi, Fuyi Li, Xudong Guo, et al.
Plos One|September 18, 2009
Prodepth: predict residue depth by support vector regression approach from protein sequences onlyJiangning Song, Hao Tan, Khalid Mahmood, et al.
Journal of Bioinformatics and Computational Biology|June 6, 2020
PROSPECT: A web server for predicting protein histidine phosphorylation sitesZhen Chen, Pei Zhao, Fuyi Li, et al.
Journal of Bioinformatics and Computational Biology|February 18, 2011
Bioinformatic approaches for predicting substrates of proteasesJiangning Song, Hao Tan, Sarah E Boyd, et al.
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2022
Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADELZhen Chen, Xuhan Liu, Fuyi Li, et al.
Protein Engineering, Design & Selection : PEDS|February 19, 2015
Structural and dynamic properties that govern the stability of an engineered fibronectin type III domainBenjamin T Porebski, Adrian A Nickson, David E Hoke, et al.
Briefings in Bioinformatics|November 13, 2019
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequencesZhen Chen, Pei Zhao, Fuyi Li, et al.
Briefings in Bioinformatics|October 24, 2018
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning frameworkYanju Zhang, Ruopeng Xie, Jiawei Wang, et al.
Briefings in Bioinformatics|October 26, 2016
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VIYi An, Jiawei Wang, Chen Li, et al.
Bioinformatics (Oxford, England)|February 16, 2023
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationshipsTong Pan, Chen Li, Yue Bi, et al.
Pageof 8