Template metaprogramming

超編程軟體工程與C++泛型程式設計

We use template metaprogramming to make all the C++ software modules as maintainable, reusable, and efficient as possible

我們使用超編程軟體工程讓程式模組高度可維護、可重複利用以及高效

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NGS and hardware-assisted acceleration algorithms

次世代定序與硬體輔助平行加速演算法

We devote ourself to reducing the time for a complete NGS analysis pipeline to seconds

將定序分析的完整步驟降到秒級，是JHHLAB的使命

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Complex systems Bioinformatics, image processing, and deep learning

複雜系統生物資訊、影像處理與深度學習

We combine domain knowledge and machine learning to approach complex systems in Bioinformatics

JHHLAB應用機器學習與生物資訊來研究分子層級的複雜系統

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Principal investigator

JHHLAB主持人：洪瑞鴻教授

With post-doctoral experience with Dr. Zhiping Weng at University of Massachusetts Medical School, Jui-Hung Hung, Ph.D. conducted research in various topics of Bioinformatics, especially the Next Generation Sequencing (NGS) analysis and Bioinformatics algorithm
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Research Highlights

未來科技獎

2021-11-29 | 尚無留言

Homer H. Chen, Hung J.-H

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A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing

2020-08-04 | 尚無留言

Yi-C.- W., Yang, C.-H., Hung J.-H

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A Fully Integrated Data Processor for Next- Generation Sequencing

2017-07-03 | 尚無留言

Yi-C.- W., Yang, C.-H., Hung J.-H

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Memory Efficient Implementation of the Hardware-acceleration-friendly Schindler Transform for the Fast Biological Sequence Mapping

2017-07-03 | 尚無留言

Chang C.-H., Chou M.-T., Wu Y.-C., Hong T-.W., Li Y.-L., Yang C.-H.,and Hung J.-H

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A Computational Framework for Detecting Non-Templated Tailing of Small Silencing RNAs

2017-01-19 | 尚無留言

Chou M.-T., Han B. W., Hsiao C.-P., Zamore P. D., Weng Z. and Hung J.-H.

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Dicer Partner Proteins Tune the Length of Mature miRNAs in Flies and Mammals

2017-01-19 | 尚無留言

Ryuya Fukunaga, Bo W. Han, Jui-Hung Hung, Jia Xu, Zhiping Weng, Phillip D. Zamore

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Target RNA–Directed Trimming and Tailing of Small Silencing RNAs

2017-01-19 | 尚無留言

Stefan L. Ameres, Michael D. Horwich, Jui-Hung Hung, Jia Xu, Megha Ghildiyal, Zhiping Weng, Phillip D. Zamorelive streaming movie Rings online

Long-term, efficient inhibition of microRNA function in mice using rAAV vectors

2017-01-19 | 尚無留言

Xie J, Ameres SL, Friedline R, Jui-Hung Hung, Zhang Y, Xie Q, Zhong L, Su Q, He R, Li M, Li H, Mu X, Zhang H, Broderick JA, Kim JK, Weng Z, Flotte TR, Zamore PD, Gao G

C++

Next Generation Sequencing

Deep Computational Genomics

Template metaprogramming

超編程軟體工程與C++泛型程式設計

We use template metaprogramming to make all the C++ software modules as maintainable, reusable, and efficient as possible

我們使用超編程軟體工程讓程式模組高度可維護、可重複利用以及高效

NGS and hardware-assisted acceleration algorithms

次世代定序與硬體輔助平行加速演算法

We devote ourself to reducing the time for a complete NGS analysis pipeline to seconds

將定序分析的完整步驟降到秒級，是JHHLAB的使命

Complex systems Bioinformatics, image processing, and deep learning

複雜系統生物資訊、影像處理與深度學習

We combine domain knowledge and machine learning to approach complex systems in Bioinformatics

JHHLAB應用機器學習與生物資訊來研究分子層級的複雜系統

Principal investigator

JHHLAB主持人：洪瑞鴻教授

With post-doctoral experience with Dr. Zhiping Weng at University of Massachusetts Medical School, Jui-Hung Hung, Ph.D. conducted research in various topics of Bioinformatics, especially the Next Generation Sequencing (NGS) analysis and Bioinformatics algorithm
Read More

Research Highlights

未來科技獎

A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing

A Fully Integrated Data Processor for Next- Generation Sequencing

Memory Efficient Implementation of the Hardware-acceleration-friendly Schindler Transform for the Fast Biological Sequence Mapping

A Computational Framework for Detecting Non-Templated Tailing of Small Silencing RNAs

Dicer Partner Proteins Tune the Length of Mature miRNAs in Flies and Mammals

Target RNA–Directed Trimming and Tailing of Small Silencing RNAs

Long-term, efficient inhibition of microRNA function in mice using rAAV vectors

About Us

Recent Posts

未來科技獎

A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing

Contact Info

Template metaprogramming

超編程軟體工程與C++泛型程式設計

We use template metaprogramming to make all the C++ software modules as maintainable, reusable, and efficient as possible

我們使用超編程軟體工程讓程式模組高度可維護、可重複利用以及高效

NGS and hardware-assisted acceleration algorithms

次世代定序與硬體輔助平行加速演算法

We devote ourself to reducing the time for a complete NGS analysis pipeline to seconds

將定序分析的完整步驟降到秒級，是JHHLAB的使命

Complex systems Bioinformatics, image processing, and deep learning

複雜系統生物資訊、影像處理與深度學習

We combine domain knowledge and machine learning to approach complex systems in Bioinformatics

JHHLAB應用機器學習與生物資訊來研究分子層級的複雜系統

Principal investigator

JHHLAB主持人：洪瑞鴻教授

With post-doctoral experience with Dr. Zhiping Weng at University of Massachusetts Medical School, Jui-Hung Hung, Ph.D. conducted research in various topics of Bioinformatics, especially the Next Generation Sequencing (NGS) analysis and Bioinformatics algorithm Read More

Research Highlights

About Us

Recent Posts

未來科技獎

A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing

Contact Info

With post-doctoral experience with Dr. Zhiping Weng at University of Massachusetts Medical School, Jui-Hung Hung, Ph.D. conducted research in various topics of Bioinformatics, especially the Next Generation Sequencing (NGS) analysis and Bioinformatics algorithm
Read More