Computational Biologist expert with additional training in Artificial Intelligence, Computational Neuroscience and Computational Physics. My research focuses in discovering and understanding what rules life and its products, the biological processes.
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.
Taking this into account, I am quite interested in discovering mechanisms, strategies and properties that lead to biological functionality, in special those that arise through evolution with consecuences for gene functionality and human diseases.
Nowadays:
proteome and genome evolution, evolution, genomics, non-coding genes, pseudogenes, transcription.
Still interested on:
mobile DNA, systems biology, three-dimensional chromatin structure, stem cells, astrobiology, artificial intelligence, neural networks, models for the development of the central visual system.
Bioinformática. Entre la carne y la máquina Enrique M. Muro |
Available @ El Pais |
Preparing a course on "Fundamentals of programming in biomedicine with Python". I will use a part of it to teach @ the Modul 4.2. Biostatistik und Bioinformatik. Working on the emergence of eukaryotes. My collaborators and me are quite excited, lets see what comes out of this. A Methodology to Study Pseudogenized lincRNAs. Talyan S, Andrade-Navarro MA, Muro EM. Methods Mol Biol. 2021;2324:49-63. doi: 10.1007/978-1-0716-1503-4_4. PMID: 34165708 DOI: 10.1007/978-1-0716-1503-4_4 PubMed
Some publications that represent my work
Complete list of publications: Included in Pubmed Not included in Pubmed TeachingI have been teaching at undergraduate/master/phD level since long ago. Here, at the Johannes Gutenberg University of Mainz, I devote part of my time to teach since 2014.
For I long time I realized that, due to the advance of technology in biology, it was necessary to fill-in an important gap in the CV of many graduated biologists. As soon as I had the opportunity, during the covid19-lockdown, I worked to cover that gap. The result of that effort is "Fundamentals of programming in biology with Python". Enjoy it! Open positionsStudents interested in Master's or PhD thesis are welcome to contact me |