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Personal profile

Education

  • 2012 Ph.D., School of Informatics, Indiana University
  • 2000 M.S., Department of Computer Science, National Tsing Hua University
  • 1998 B.S. Department of Computer Science, Tunghai University

Experience

  • 2016- Assistant Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
  • 2016 Project Assistant Research Fellow, Graduate Institute of Biomedical Informatics, Taipei Medical University
  • 2016 Postdoctoral Research Fellow, Biodiversity Research Center, Academia Sinica
  • 2012-2016 Postdoctoral Research Fellow, Lawrence Berkeley National Lab, USA
  • 2007-2012 Research Assistant, School of Informatics and Computing, Indiana University, USA
  • 2005-2007 Research Assistant, Institute of Information Science, Academia Sinica
  • 2000-2005 Software Engineer, Institute for Information Industry

Research Interests

  • Bioinformatics, Metagenomics, Machine Learning

URL

Fingerprint Dive into the research topics where Yu-Wei Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Metagenomics Medicine & Life Sciences
Genome Medicine & Life Sciences
Metagenome Medicine & Life Sciences
Microbiota Medicine & Life Sciences
Gymnosperms Medicine & Life Sciences
genome Earth & Environmental Sciences
Mitochondrial Genome Medicine & Life Sciences
Genes Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2020

運用機器學習演算法透過基因體資訊挖掘未知基因的功能與預測細菌抗藥性(1/3)

Wu, Y.

8/1/197/1/20

Project: A - Government Institutionb - Ministry of Science and Technology

使用Kmer 與神經網路進行智慧影像辨識與分類

Wu, Y.

1/1/1912/31/19

Project: C - Project of Alliancel - National Taiwan University of Science and Technology

使用Kmer 與神經網路進行智慧影像辨識與分類

Wu, Y.

1/1/1912/31/19

Project: C - Project of Alliancel - National Taiwan University of Science and Technology

107大專生計畫獎-吳育瑋

Wu, Y.

8/1/187/31/19

Project: A - Government Institutionb - Ministry of Science and Technology

利用基因網絡分析尋找假定蛋白質 (hypothetical protein)與抗藥性的關係

Wu, Y.

7/1/182/28/19

Project: A - Government Institutionb - Ministry of Science and Technology

Research Output 2006 2019

  • 840 Citations
  • 12 h-Index
  • 32 Article

Large circular plasmids from groundwater plasmidomes span multiple incompatibility groups and are enriched in multimetal resistance genes

Kothari, A., Wu, Y. W., Chandonia, J. M., Charrier, M., Rajeev, L., Rocha, A. M., Joyner, D. C., Hazen, T. C., Singer, S. W. & Mukhopadhyay, A., Jan 1 2019, In : mBio. 10, 1, e02899-18.

Research output: Contribution to journalArticle

Open Access
Groundwater
Plasmids
Genes
Microbiota
Metals
1 Citation (Scopus)

Metagenomic, phylogenetic, and functional characterization of predominant endolithic green sulfur bacteria in the coral Isopora palifera

Yang, S. H., Tandon, K., Lu, C. Y., Wada, N., Shih, C. J., Hsiao, S. S. Y., Jane, W. N., Lee, T. C., Yang, C. M., Liu, C. T., Denis, V., Wu, Y. T., Wang, L. T., Huang, L., Lee, D. C., Wu, Y. W., Yamashiro, H. & Tang, S. L., Jan 4 2019, In : Microbiome. 7, 1, 3.

Research output: Contribution to journalArticle

Chlorobi
Metagenomics
Anthozoa
Skeleton
Oxygen

Stout camphor tree genome fills gaps in understanding of flowering plant genome evolution

Chaw, S. M., Liu, Y. C., Wu, Y. W., Wang, H. Y., Lin, C. Y. I., Wu, C. S., Ke, H. M., Chang, L. Y., Hsu, C. Y., Yang, H. T., Sudianto, E., Hsu, M. H., Wu, K. P., Wang, L. N., Leebens-Mack, J. H. & Tsai, I. J., Jan 1 2019, In : Nature Plants. 5, 1, p. 63-73 11 p.

Research output: Contribution to journalArticle

Laurales
camphor
Cinnamomum
Angiospermae
Magnoliales
7 Citations (Scopus)

A bacterial pioneer produces cellulase complexes that persist through community succession

Kolinko, S., Wu, Y. W., Tachea, F., Denzel, E., Hiras, J., Gabriel, R., Bäcker, N., Chan, L. J. G., Eichorst, S. A., Frey, D., Chen, Q., Azadi, P., Adams, P. D., Pray, T. R., Tanjore, D., Petzold, C. J., Gladden, J. M., Simmons, B. A. & Singer, S. W., Jan 1 2018, In : Nature Microbiology. 3, 1, p. 99-107 9 p.

Research output: Contribution to journalArticle

Cellulase
Glycoside Hydrolases
Cellulosomes
Microbial Consortia
Metagenomics
3 Citations (Scopus)

A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains

Her, H. L. & Wu, Y. W., Jul 1 2018, In : Bioinformatics. 34, 13, p. i89-i95

Research output: Contribution to journalArticle

Escherichia coli
Escherichia Coli
Learning systems
Machine Learning
Genome