Data access for the 1,000 Plants (1KP) project N Matasci, LH Hung, Z Yan, EJ Carpenter, NJ Wickett, S Mirarab, ... Gigascience 3 (1), 2047-217X-3-17, 2014 | 589 | 2014 |
PROTINFO: new algorithms for enhanced protein structure predictions LH Hung, SC Ngan, T Liu, R Samudrala Nucleic acids research 33 (suppl_2), W77-W80, 2005 | 76 | 2005 |
Guidock: using docker containers with a common graphics user interface to address the reproducibility of research LH Hung, D Kristiyanto, SB Lee, KY Yeung PloS one 11 (4), e0152686, 2016 | 64 | 2016 |
PROTINFO: secondary and tertiary protein structure prediction LH Hung, R Samudrala Nucleic Acids Research 31 (13), 3296-3299, 2003 | 59 | 2003 |
Accurate and automated classification of protein secondary structure with PsiCSI LH Hung, R Samudrala Protein Science 12 (2), 288-295, 2003 | 54 | 2003 |
Data access for the 1,000 Plants (1KP) project. GigaScience 3: 17 N Matasci, LH Hung, Z Yan, EJ Carpenter, NJ Wickett, S Mirarab, ... Article PubMed PubMed Central, 2014 | 40 | 2014 |
Building containerized workflows using the BioDepot-workflow-builder LH Hung, J Hu, T Meiss, A Ingersoll, W Lloyd, D Kristiyanto, Y Xiong, ... Cell systems 9 (5), 508-514. e3, 2019 | 33 | 2019 |
Leveraging serverless computing to improve performance for sequence comparison X Niu, D Kumanov, LH Hung, W Lloyd, KY Yeung Proceedings of the 10th ACM international conference on bioinformatics …, 2019 | 32 | 2019 |
Reproducible Bioconductor Workflows Using Browser-Based Interactive Notebooks And Containers R Almugbel, LH Hung, J Hu, AM Almutairy, NE Ortogero, Y Tamta, ... Journal of the American Medical Informatics Association 25 (1), 4-12, 2017 | 25 | 2017 |
Serverless computing provides on-demand high performance computing for biomedical research D Kumanov, LH Hung, W Lloyd, KY Yeung arXiv preprint arXiv:1807.11659, 2018 | 23 | 2018 |
A phosphorylation site in the ftz homeodomain is required for activity J Dong, LH Hung, R Strome, HM Krause The EMBO Journal, 1998 | 23 | 1998 |
Accelerated protein structure comparison using TM-score-GPU LH Hung, R Samudrala Bioinformatics 28 (16), 2191-2192, 2012 | 21 | 2012 |
De novo protein structure prediction LH Hung, SC Ngan, R Samudrala Computational methods for protein structure prediction and modeling, 43-63, 2007 | 15 | 2007 |
GPU-QJ, a fast method for calculating root mean square deviation (RMSD) after optimal superposition LH Hung, M Guerquin, R Samudrala BMC research notes 4, 1-6, 2011 | 14 | 2011 |
The solution structure of the C‐terminal domain of the Mu B transposition protein LH Hung, G Chaconas, GS Shaw The EMBO Journal, 2000 | 14 | 2000 |
Integration of multiple data sources for gene network inference using genetic perturbation data X Liang, WC Young, LH Hung, AE Raftery, KY Yeung Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 13 | 2018 |
fast_protein_cluster: parallel and optimized clustering of large-scale protein modeling data LH Hung, R Samudrala Bioinformatics 30 (12), 1774-1776, 2014 | 12 | 2014 |
Scoring functions for de novo protein structure prediction revisited SC Ngan, LH Hung, T Liu, R Samudrala METHODS IN MOLECULAR BIOLOGY-CLIFTON THEN TOTOWA- 413, 243, 2008 | 12 | 2008 |
An automated assignment-free Bayesian approach for accurately identifying proton contacts from NOESY data LH Hung, R Samudrala Journal of Biomolecular NMR 36 (3), 189-198, 2006 | 12 | 2006 |
GUIdock-VNC: Using a graphical desktop sharing system to provide a browser-based interface for containerized software V Mittal, LH Hung, J Keswani, D Kristiyanto, SB Lee, KY Yeung GigaScience 6 (4), giw013, 2017 | 11 | 2017 |