Enrique M. Muro

I am a Principal investigator (tenured)/Akademischer Oberrat working at the Institute of Organismic and Molecular Evolution (iomE) at the Johannes Gutenberg University of Mainz in Germany. Computational Biologist and Bioinformatician with background in Neural Computation, and Computational Physics.


Enrique M. Muro

Contact information:
Dr. Enrique M. Muro
Johannes Gutenberg University of Mainz
iomE - Faculty of Biology
Biozentrum I
Hans-Dieter-Huesch-Weg 15
55128 Mainz. Germany

E-mail: ed.zniam-inu@orum (not a palindrome, please read it backwards)


Research

My research focuses on genome and proteome evolution. During the last years, I have dedicated my efforts to quantitatively understand how the genetic architecture of life was transformed during the Eukaryogenesis to allow such an increase of complexity: multicellularity, sexuality, sociability, central nervous system, and so on.
Always a passionate of interdisciplinary teams.


Statement

Science is full of rules that simplify the way nature works. Simplifications that, many times, stand on our incomplete knowledge of the domain and can mislead posterior research. It is not always the most efficient way to learn but, for practical reasons, is a good strategy. This has been previously approached in the concept of Falsifiability by Karl Popper. Biology, in particular, is specially prone to this problem due to its intrinsic complexity.
The state of the art is the best we have. Nevertheless, exceptions can be relevant, causal of functionality and even have implications in human diseases. Therefore, scientists supported by evidence and swimming against the tide, have big chances to make a difference if they are strong enough. In summary, there is no such unique way to develop science, but creativity, critical thinking and new perspectives lead straight to the conquest of new results, and if for any reason it is a must to ferret out where the mainstream is, trying alternative solutions that follow the parsimony principle will be my way to go.


Keywords

Computational Biology, proteome and genome evolution, genomics.

Still interested on: non-coding genes, pseudogenes, transcription, mobile DNA, systems biology, three-dimensional chromatin structure, stem cells, astrobiology, artificial intelligence, neural networks, models for the development of the central visual system.


Science outreach:

Bioinformatics, el Pais



Bioinformática. Entre la carne y la máquina
Enrique M. Muro
Available @ El Pais

News