Currents in Bioinformatics

  • Veranstalter: Purva Kulkarni
  • Termin: Di 15:00 – 16:30, SR 3423 EAP

Im Journal Club werden wöchentlich aktuelle Artikel aus der bioinformatischen Forschung vorgestellt und diskutiert. In diesem Semester liegt der Schwerpunkt auf “Computational Mass Spectrometry”. Details werden in der ersten Veranstaltung besprochen.

Termin Thema Vortragender       Backup      
08.04.  Organisatorisches, Besprechen der Themen
15.04. canceled
22.04. Haraszti, Z. and Townsend J.
The theory of direct probability redistribution and its application to rare event simulation
ACM Transactions on Modeling and Computer Simulation, (TOMACS), 9(2), 105-140, 1999.
29.04. Gamermann, D., Montagud,A., Conejero, J., Urchueguía, J., and Córdoba, P.
New Approach for Phylogenetic Tree Recovery Based on Genome-Scale Metabolic Networks
Journal of Computational Biology, Vol 21, 2014.
06.05. Misof, B., Meyer, B., Reumont, B., Patrick Kück, P., Katharina Misof, K., Meusemann1, K.
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
BMC Bioinformatics, 14:348, 2013
13.05. Yufeng Wu
An Algorithm for Constructing Parsimonious Hybridization Networks with Multiple Phylogenetic Trees
Journal of Computational Biology20(10),2013.
Insa Markus
20.05. Whidden, C., Zeh, N., Beiko, R.
Supertrees based on the subtree prune-and-regraft distance
Systematic Biology, Published online April 2, 2014.
27.05.  Organisatorisches, Besprechen der Themen  –
03.06. Maggiora, G., Vogt, M., Stumpfe, D., and Bajorath J.
Molecular Similarity in Medicinal Chemistry
J. Med. Chem., 2014, 57 (8), pp 3186–3204
 Maximilian Kerstin
10.06. Chao-Jen Shih, Pi-Yu Chen, Chih-Chuang Liaw, Ying-Mi Laia and Yu-Liang Yang
Bringing microbial interactions to light using imaging mass spectrometry
Nat. Prod. Rep., 2014,31, 739-755
17.06. Webb, S., Hanser, T., Howlin, B., Krause, P. and Vessey, J.
Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity
Journal of Cheminformatics, 6:8, 2014.
24.06.  Sascha  –
01.07..  Kenar E1, Franken H, Forcisi S, Wörmann K, Häring HU, Lehmann R, Schmitt-Kopplin P, Zell A, Kohlbacher O.
Automated label-free quantification of metabolites from liquid chromatography-mass spectrometry data.
Mol Cell Proteomics. 2014 Jan;13(1):348-59.
Martin  –
08.07. Daly, R., Rogers, S., Wandy, J., Jankevics, A.,Burgess, K., Breitling, R.
MetAssign: Probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach
Bioinformatics 2014, pages 1–8