De novo Transcriptome Analysis- Insights from Plant Transcriptome Data
Sriram Parameswaran, Chief Technology Officer, Genotypic Technology Pvt Ltd
In
the recent decade advancement in sequencing technology and development of
computational algorithms have accelerated the ability to obtain and assign
annotation to biological datasets. De novo transcriptome sequencing enable the
unprecedented ability to obtain insights in to yet unexplored rare,
non-genetically characterized plants obtained in situ and identify its
genetic coding complement. De novo transcriptome data can be used to assign
functional classes, pathway and derive gene interaction that encode novel
biochemical activity. ~70% of the drug in use today are either natural products
or derivatives of natural products modified to improve the pharmaceutical
properties of the compound. This talk will focus on biological insights
obtained from de novo transcriptomics of medicinal plants exploring the
insights from three cases. Such data can be applied in novel product
prospecting, pathway/metabolic engineering or in development of systems to
produce the compounds at higher yield.
|
|