| Critical assessment of metagenome interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022 | 189 | 2022 |
| Construction and optimization of a large gene coexpression network in maize using RNA-Seq data J Huang, S Vendramin, L Shi, KM McGinnis Plant physiology 175 (1), 568-583, 2017 | 57 | 2017 |
| SpaRC: scalable sequence clustering using Apache Spark L Shi, X Meng, E Tseng, M Mascagni, Z Wang Bioinformatics 35 (5), 760-768, 2019 | 22 | 2019 |
| A case study of tuning MapReduce for efficient Bioinformatics in the cloud L Shi, Z Wang, W Yu, X Meng Parallel Computing 61, 83-95, 2017 | 20 | 2017 |
| Computational strategies for scalable genomics analysis L Shi, Z Wang Genes 10 (12), 1017, 2019 | 17 | 2019 |
| Comparison and Benchmark of Graph Clustering Algorithms L Shi, B Chen arXiv, 2020 | 9 | 2020 |
| A vector representation of DNA sequences using locality sensitive hashing L Shi, B Chen BioRxiv, 726729, 2019 | 9 | 2019 |
| Performance evaluation and tuning of biopig for genomic analysis L Shi, Z Wang, W Yu, X Meng Proceedings of the 2015 International Workshop on Data-Intensive Scalable …, 2015 | 7 | 2015 |
| LSHvec: a vector representation of DNA sequences using locality sensitive hashing and FastText word embeddings L Shi, B Chen Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 6 | 2021 |
| Deconvolute individual genomes from metagenome sequences through short read clustering K Li, Y Lu, L Deng, L Wang, L Shi, Z Wang PeerJ 8, e8966, 2020 | 6 | 2020 |
| Leveraging big data and machine learning technologies for accurate and scalable genomic analysis L Shi The Florida State University, 2020 | 3 | 2020 |
| Deconvolute individual genomes from metagenome sequences through read clustering K Li, L Wang, L Shi, L Deng, Z Wang bioRxiv, 620666, 2019 | 2 | 2019 |
| Hybrid Clustering of Long and Short-read for Improved Metagenome Assembly Y Lu, L Shi, MW Van Goethem, V Sevim, M Mascagni, L Deng, Z Wang bioRxiv, 2021.01. 25.428115, 2021 | 1 | 2021 |
| Feature Enhancement and Performance Evaluation of BioPig Analytics L Shi Auburn University, 2015 | | 2015 |
Zhong WangLawrence Berkeley National LabVerified email at lbl.gov
