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Dr.  Angelo Valleriani
Dr. Angelo Valleriani
Group Leader
Phone:+49 331 567-9633Fax:+49 331 567-9602

Research

Research

The research interests of the group can be roughly subdivided into three main -- sometimes overlapping -- categories.

In the framework of Data analysis & Methods we were concerned with finding signals or patterns in the data and developing our own tools to analyze data. In Modeling & Theory we were concerned with the theoretical understanding of some processes and with the underlying mathematical aspects of the modeling. In Biology & Biophysics the specific biological questions and experimental methods stand on the foreground.

The publications listed below come from the research activity since 2015. Some publications are listed under more than one category.

Data analysis & Methods

Ana E. Bergues-Pupo, Melis Goktas, Isabell Tunn, Patricia Lopez-Garcia, Ana Vila Verde, Kerstin G. Blank, Angelo Valleriani
Goodness of fit testing in dynamic single-molecule force spectroscopy
Journal of Chemical Physics (in print)

1.
Wiechecki, K.; Manohar, S.; Silva, G.; Tchourine, K.; Jacob, S.; Valleriani, A.; Vogel, C.: Integrative meta-analysis reveals that most yeast proteins are very stable. bioRxiv (2017)
2.
Stange, M.; Hintsche, M.; Sachse, K.; Gerhardt, M.; Valleriani, A.; Beta, C.: Analyzing the spatial positioning of nuclei in polynuclear giant cells. Journal of Physics D: Applied Physics 50 (46), 464001 (2017)
3.
McShane, E.; Sin, C.; Zauber, H.; Wells, J.; Donnelly, N.; Wang, X.; Hou, J.; Chen, W.; Storchova, Z.; Marsh, J. et al.; Valleriani, A.; Selbach, M.: Kinetic Analysis of Protein Stability Reveals Age-Dependent Degradation. Cell 167 (3), pp. 803 - 815.e21 (2016)
4.
Valleriani, A.: A conditional likelihood is required to estimate the selection coefficient in ancient DNA. Scientific Reports 6, 31561 (2016)
5.
Rusconi, M.; Valleriani, A.: Predict or classify: The deceptive role of time-locking in brain signal classification. Scientific Reports 6, 28236 (2016)
6.
Sin, C.; Chiarugi, D.; Valleriani, A.: Degradation Parameters from Pulse-Chase Experiments. PLoS One 11 (5), e0155028 (2016)
7.
Sin, C.; Chiarugi, D.; Valleriani, A.: Quantitative assessment of ribosome drop-off in E. coli. Nucleic Acids Research (London) 44 (6), pp. 2528 - 2537 (2016)
8.
Bartholomäus, A.; Fedyunin, I.; Feist, P.; Sin, C.; Zhang, G.; Valleriani, A.; Ignatova, Z.: Bacteria differently regulate mRNA abundance to specifically respond to various stresses. Philosophical Transactions of the Royal Society of London - Series A: Mathematical Physical and Engineering Sciences 374 (2063), 20150069 (2016)
9.
Valleriani, A.: Circular analysis in complex stochastic systems. Scientific Reports 5, 17986 (2015)
10.
Sin, C.; Chiarugi, D.; Valleriani, A.: Single-molecule modeling of mRNA degradation by miRNA: Lessons from data. BMC Systems Biology 9 (Suppl 3), S2 (2015)

Modeling & Theory

11.
Valleriani, A.: Stochastic modeling of complex macromolecular decay. In: Lectures in Pure and Applied Mathematics, Vol. 4, pp. 1 - 28. Potsdam University Press, Potsdam (2017)
12.
Valleriani, A.: A conditional likelihood is required to estimate the selection coefficient in ancient DNA. Scientific Reports 6, 31561 (2016)
13.
Rusconi, M.; Valleriani, A.: Predict or classify: The deceptive role of time-locking in brain signal classification. Scientific Reports 6, 28236 (2016)
14.
Sin, C.; Chiarugi, D.; Valleriani, A.: Degradation Parameters from Pulse-Chase Experiments. PLoS One 11 (5), e0155028 (2016)
15.
Valleriani, A.: Circular analysis in complex stochastic systems. Scientific Reports 5, 17986 (2015)
16.
Sin, C.; Chiarugi, D.; Valleriani, A.: Single-molecule modeling of mRNA degradation by miRNA: Lessons from data. BMC Systems Biology 9 (Suppl 3), S2 (2015)
17.
Rading, M. M.; Sandmann, M.; Steup, M.; Chiarugi, D.; Valleriani, A.: Weak correlation of starch and volume in synchronized photosynthetic cells. Physical Review E 91 (1), 012711 (2015)
18.
Keller, P.; Rœlly, S.; Valleriani, A.: On Time Duality for Markov Chains. Stochastic Models 31 (1), pp. 98 - 118 (2015)
19.
Keller, P.; Rœlly, S.; Valleriani, A.: A Quasi Random Walk to Model a Biological Transport Process. Methodology and Computing in Applied Probability 17 (1), pp. 125 - 137 (2015)

Biology & Biophysics

20.
Wiechecki, K.; Manohar, S.; Silva, G.; Tchourine, K.; Jacob, S.; Valleriani, A.; Vogel, C.: Integrative meta-analysis reveals that most yeast proteins are very stable. bioRxiv (2017)
21.
Stange, M.; Hintsche, M.; Sachse, K.; Gerhardt, M.; Valleriani, A.; Beta, C.: Analyzing the spatial positioning of nuclei in polynuclear giant cells. Journal of Physics D: Applied Physics 50 (46), 464001 (2017)
22.
Bühning , M.; Valleriani, A.; Leimkühler, S.: The Role of SufS Is Restricted to Fe−S Cluster Biosynthesis in Escherichia coli. Biochemistry 56 (14), pp. 1987 - 2000 (2017)
23.
Bartholomäus, A.; Fedyunin, I.; Feist, P.; Sin, C.; Zhang, G.; Valleriani, A.; Ignatova, Z.: Bacteria differently regulate mRNA abundance to specifically respond to various stresses. Philosophical Transactions of the Royal Society of London - Series A: Mathematical Physical and Engineering Sciences 374 (2063), 20150069 (2016)

 
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