Dinghua Li
TitleCited byYear
MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph
D Li, CM Liu, R Luo, K Sadakane, TW Lam
Bioinformatics 31 (10), 1674-1676, 2015
MEGAHIT v1. 0: a fast and scalable metagenome assembler driven by advanced methodologies and community practices
D Li, R Luo, CM Liu, CM Leung, HF Ting, K Sadakane, H Yamashita, ...
Methods 102, 3-11, 2016
MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs
D Li, Y Huang, CM Leung, R Luo, HF Ting, TW Lam
BMC bioinformatics 18 (12), 408, 2017
BitFlow: Exploiting Vector Parallelism for Binary Neural Networks on CPU
Y Hu, J Zhai, D Li, Y Gong, Y Zhu, W Liu, L Su, J Jin
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
BASE: a practical de novo assembler for large genomes using long NGS reads
B Liu, CM Liu, D Li, Y Li, HF Ting, SM Yiu, R Luo, TW Lam
BMC genomics 17 (5), 499, 2016
AC-DIAMOND: accelerating protein alignment via better SIMD parallelization and space-efficient indexing
H Mai, D Li, Y Zhang, HCM Leung, R Luo, HF Ting, TW Lam
International Conference on Bioinformatics and Biomedical Engineering, 426-433, 2016
MegaPath: Low-Similarity Pathogen Detection from Metagenomic NGS Data
D Li, CM Leung, CK Wong, Y Zhang, WC Law, Y Xin, R Luo, HF Ting, ...
2018 IEEE 8th International Conference on Computational Advances in Bio and …, 2018
AC-DIAMOND v1: accelerating large-scale DNA–protein alignment
H Mai, Y Zhang, D Li, HCM Leung, R Luo, CK Wong, HF Ting, TW Lam
Bioinformatics 34 (21), 3744-3746, 2018
Memory-and time-efficient solutions for large-scale metagenomic sequence analysis
D Li
HKU Theses Online (HKUTO), 2017
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