Research Topics
| Caroline C FriedelSummaryCountry: Germany Publications
| Collaborators
|
Detail Information
Publications
Identifying the topology of protein complexes from affinity purification assaysCaroline C Friedel
Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Amalienstrasse 17, 80333 München, Germany
Bioinformatics 25:2140-6. 2009..So far the focus has been on the prediction of complexes as sets of proteins from the experimental results. The modular substructure and the physical interactions within the protein complexes have been mostly ignored...
Conserved principles of mammalian transcriptional regulation revealed by RNA half-lifeCaroline C Friedel
Institute for Informatics, Ludwig Maximilians Universitat Munchen, Munich 80333, Germany
Nucleic Acids Res 37:e115. 2009..Therefore, this atlas of transcript half-lives provides new fundamental insights into many cellular processes...
Metabolic tagging and purification of nascent RNA: implications for transcriptomicsCaroline C Friedel
Institute for Informatics, Ludwig Maximilians University Munich, Amalienstr 17, 80333 München, Germany
Mol Biosyst 5:1271-8. 2009..In this article, we review these experimental procedures and discuss their implications for large-scale gene expression profiling...
Bootstrapping the interactome: unsupervised identification of protein complexes in yeastCaroline C Friedel
Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Munchen, Germany
J Comput Biol 16:971-87. 2009..As a consequence, the approach presented in this article is easily applicable to large-scale TAP experiments for any species even if few complexes are already known...
Influence of degree correlations on network structure and stability in protein-protein interaction networksCaroline C Friedel
LFE Bioinformatik, Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Amalienstrasse 17, 80333 München, Germany
BMC Bioinformatics 8:297. 2007..We investigated how degree correlations influence the structure of networks and their tolerance against perturbations such as the targeted deletion of hubs...
HALO--a Java framework for precise transcript half-life determinationCaroline C Friedel
Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Munchen, Germany
Bioinformatics 26:1264-6. 2010..AVAILABILITY: Source code, executables and documentation are available at http://www.bio.ifi.lmu.de/software/halo...
Inferring topology from clustering coefficients in protein-protein interaction networksCaroline C Friedel
LFE Bioinformatik, Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Amalienstrasse 17, 80333 München, Germany
BMC Bioinformatics 7:519. 2006..Recently, the possibility was suggested that this scale-free nature may not actually reflect the topology of the complete interactome but could also be due to the error proneness and incompleteness of large-scale experiments...
High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decayLars Dölken
Max von Pettenkofer Institute, Ludwig Maximilians University Munich, Munich 80337, Germany
RNA 14:1959-72. 2008....
Ultrashort and progressive 4sU-tagging reveals key characteristics of RNA processing at nucleotide resolutionLukas Windhager
Institute for Informatics, Ludwig Maximilians Universitat Munchen, Munich 80333, Germany
Genome Res 22:2031-42. 2012..In summary, our study yields unparalleled insights into the kinetics of RNA processing and provides the tools to study molecular mechanisms of RNA processing and their contribution to the regulation of gene expression...
FERN - a Java framework for stochastic simulation and evaluation of reaction networksFlorian Erhard
LFE Bioinformatik, Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Amalienstrasse 17, Munchen, Germany
BMC Bioinformatics 9:356. 2008..Thus, in order to use stochastic simulation in innovative high-level modeling and analysis approaches more flexible tools are necessary...
ProCope--protein complex prediction and evaluationJan Krumsiek
Institut fur Informatik, Ludwig Maximilians Universitat Munchen, Amalienstrasse 17, 80333 München, Germany
Bioinformatics 24:2115-6. 2008..AVAILABILITY: Source code and executables are available at http://www.bio.ifi.lmu.de/Complexes/ProCope/...
Systematic analysis of viral and cellular microRNA targets in cells latently infected with human gamma-herpesviruses by RISC immunoprecipitation assayLars Dölken
Max von Pettenkofer Institute, Ludwig Maximilians University Munich, 80336 Munich, Germany
Cell Host Microbe 7:324-34. 2010..Transcript half-life both of cellular and viral miRNA targets negatively correlated with recruitment to RISC complexes, indicating that RIP-Chip offers a quantitative estimate of miRNA function...
Detection and correction of probe-level artefacts on microarraysTobias Petri
Institute for Informatics, Ludwig Maximilians Universitat Munchen, Munich, Germany
BMC Bioinformatics 13:114. 2012....
A context-based approach to identify the most likely mapping for RNA-seq experimentsThomas Bonfert
Institute for Informatics, Ludwig Maximilians University Munich, Amalienstr, 17, 80333 Munich, Germany
BMC Bioinformatics 13:S9. 2012..e. information from other reads is not taken into account. Second, in case of multiple possible mappings, the mapping with the fewest mismatches is usually chosen which may lead to wrong assignments due to sequencing errors...
Analysis of intraviral protein-protein interactions of the SARS coronavirus ORFeomeAlbrecht von Brunn
Genzentrum, Max von Pettenkofer Institut, Lehrstuhl Virologie, Ludwig Maximilians Universität LMU, Munchen, Germany
PLoS ONE 2:e459. 2007..The interactions identified provide valuable material for future studies...
Evolutionarily conserved herpesviral protein interaction networksEven Fossum
Max von Pettenkofer Institut, Ludwig Maximilians Universitat, Munchen, Germany
PLoS Pathog 5:e1000570. 2009..By combining interactomes of different species we were able to systematically address the low coverage of the Y2H system and to extract biologically relevant interactions which were not evident from single species...
Reliable gene signatures for microarray classification: assessment of stability and performanceChad A Davis
Institute of Informatics, , Amalienstrasse 17 80333 Munich, Germany
Bioinformatics 22:2356-63. 2006..We compared our approach to others based on a publicly available dataset on breast cancer. AVAILABILITY: R package at http://www.bio.ifi.lmu.de/~davis/edaprakt..
Toward the complete interactomeCaroline C Friedel
Nat Biotechnol 24:614-5; author reply 615. 2006
Support vector machines for separation of mixed plant-pathogen EST collections based on codon usageCaroline C Friedel
Institut fuer Informatik, Ludwig Maximilians Universitaet Muenchen, Oettingenstrasse 67, 80538 Muenchen, Germany
Bioinformatics 21:1383-8. 2005..When using single-pass cDNA sequences difficulties arise from the short sequence length, the lack of sufficient taxonomically relevant sequence data in public databases and ambiguous sequence homology between plant and pathogen genes...
