Vision

vision

From transcriptome profiling to the understanding of its complexity.

Dissecting the complexity at the transcriptomic level is requisite to comprehend the science of life and diseases. This has been impeded by current techniques for functional studies of splice-isoforms, which are non-scalable to the high-throughput generation of transcriptome data.

We hope, through efficient and specific modulation of the human transcriptome, our products will simplify the process of unravelling disease mechanisms, and catalyse the discovery and validation of novel drug targets.


Story

story

The team

DKB Wee

Dave KB WEE, PhD

Computational Biologist
E Guccione

Ernesto GUCCIONE, PhD

Experimental Biologist
RTC Lee

Raphael TC LEE, MSc

Computational Biologist
T Tabaglio

Tommaso TABAGLIO, PhD

Experimental Biologist
M Hebrard

Maxime HEBRARD, PhD

Computational Biologist
Yani

Yani XU, MSc

Computational Biologist

Contact

Contact Info

Sample message to knockdown gene/transcript via RNase H degradation: (NOA-GAPmer™)
Sample message to knockdown gene/transcript: (NOA-NMD™)
Sample message to modulate splice switching: (NOA-Switch™)