Sze, Sing-Hoi individual record
Associate Professor - Term Appoint

Our work focuses on the application of computational techniques to solve problems in biology. Current research projects cover diverse areas in computational biology, including multiple sequence alignment, motif finding with applications to predicting transcription factor binding sites, biological network analysis, and identification of gene clusters within genomes.

selected publications
Academic Articles43
  • Zhang, M., Cui, Y., Liu, Y., Xu, W., Sze, S., Murray, S. C., Xu, S., & Zhang, H. (2020). Accurate prediction of maize grain yield using its contributing genes for gene-based breeding.. Genomics. 112(1), 225-236.
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  • Zhu, Z., Rehman, K. U., Yu, Y., Liu, X., Wang, H., Tomberlin, J. K., ... Zheng, L. (2019). De novo transcriptome sequencing and analysis revealed the molecular basis of rapid fat accumulation by black soldier fly (Hermetia illucens, L.) for development of insectival biodiesel.. Biotechnol Biofuels. 12(1), 194.
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  • Pimsler, M. L., Sze, S., Saenz, S., Fu, S., Tomberlin, J. K., & Tarone, A. M. (2019). Gene expression correlates of facultative predation in the blow fly Chrysomya rufifacies (Diptera: Calliphoridae).. Ecol Evol. 9(15), 8690-8701.
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  • Song, J., Arif, M., Zhang, M., Sze, S., & Zhang, H. (2019). Phenotypic and molecular dissection of grain quality using the USDA rice mini-core collection.. Food Chem. 284, 312-322.
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  • Zhang, Y. u., Pechal, J. L., Schmidt, C. J., Jordan, H. R., Wang, W. W., Benbow, M. E., Sze, S., & Tarone, A. M. (2019). Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.. PLoS One. 14(4), e0213829-e0213829.
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  • Sze, S. (2016). Computational Approaches for Studying Alternative Splicing in Nonmodel Organisms from RNA-SEQ Data. Computational Methods for Next Generation Sequencing Data Analysis. 287-299. John Wiley & Sons, Inc..
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  • Sze, S. (2007). Recent Developments in Alignment and Motif Finding for Sequences and Networks. Bioinformatics Algorithms. 259-276. John Wiley & Sons, Inc..
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Conference Papers15
  • Fu, S., Chang, P. L., Friesen, M. L., Teakle, N. L., Tarone, A. M., & Sze, S. (2019). Identifying similar transcripts in a related organism from de Bruijn graphs of RNA-Seq data, with applications to the study of salt and waterlogging tolerance in Melilotus. BMC Genomics. 20(Suppl 5), 425-1.
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  • Sze, S., & Tarone, A. M. (2013). A memory-efficient algorithm to obtain splicing graphs and de novo expression estimates from de bruijn graphs of RNA-seq data. 2013 IEEE 3rd International Conference on Computational Advances in Bio and medical Sciences (ICCABS), 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). 1-1.
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  • Chen, J., Fan, J., & Sze, S. (2013). Parameterized and Approximation Algorithms for the MAF Problem in Multifurcating Trees. GRAPH-THEORETIC CONCEPTS IN COMPUTER SCIENCE, WG 2013, Graph-Theoretic Concepts in Computer Science - 39th International Workshop, WG 2013, Lbeck, Germany, June 19-21, 2013, Revised Papers. 8165, 152-164.
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  • Chen, J., Liu, Y., Lu, S., Sze, S., & Zhang, F. (2012). Iterative Expansion and Color Coding. ACM Transactions on Algorithms. 8(1), 1-22.
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chaired theses and dissertations
First Name
Last Name
mailing address
Texas A&M University; Computer Science & Engineering; 3112 TAMU
College Station, TX 77843-3112