Karthik Raman

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My primary research interests are in computational systems biology, particularly the modelling and simulation of complex systems and networks. Presently, I am quite interested in understanding the design principles of biological systems through multi-scale computational modelling/theoretical studies, and how a knowledge of these principles can be exploited in applications such as synthetic biology. I am also interested in the application of complex network science to various disciplines, in and outside biology. My PhD involved the modelling and simulation of (myco)bacterial metabolism, metabolic networks and protein--protein interactions, to identify better drug targets for tuberculosis

systems biology metabolic networks metabolic modelling gut microbiome networks eccb graph mining ismb rna neutral networks evolvability computational biology robustness bioinformatics algorithms synthetic lethals synthetic biology evolution fpga evolvable hardware

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About

Karthik Raman

Presentations

Robustness and evolution of novel functions in programmable hardware

Fast-SL: An efficient algorithm to identify synthetic lethals in metabolic networks

Revisiting robustness and evolvability: evolution on weighted genotype networks

Predicting Novel Metabolic Pathways through Subgraph Mining

Computational Approaches to Understanding Interactions in Microbial Communities

Likes

Cobra phylogeny paper slides

Bio Inspired Computing Final Version

NetBioSIG2013-KEYNOTE Stefan Schuster

Dear NSA, let me take care of your slides.

You Suck At PowerPoint! by @jessedee

8 queens problem using back tracking

8 queens problem using back tracking

Bioinformatics A Biased Overview

What Bioinformaticians Need to Know About Digital Publishing Beyond the PDF

The Era of Open