Backofen, Rolf
University of Freiburg
9 papers on CoChatORCID 0000-0001-8231-3323
Most cited papers
- Verified
IntaRNA 2.0: enhanced and customizable prediction of RNA–RNA interactions
Mann, M., Wright, P. R., & Backofen, R. (2017) · Nucleic Acids Research
RNA and protein synthesis mechanismsRNA Research and Splicing
Cited by 725
- Verified
IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions
Busch, A., Richter, A. S., & Backofen, R. (2008) · Bioinformatics
RNA and protein synthesis mechanismsBacterial Genetics and Biotechnology
Cited by 552
- Verified
Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N6-carboxymethyllysine
Mossad, O., Batut, B., Yilmaz, B., Dokalis, N., Mezö, C., Nent, E., Nabavi, L. S., Mayer, M., Maron, F. J. M., Buescher, J. M., et al. (2022) · Nature Neuroscience
Neuroinflammation and Neurodegeneration MechanismsGut microbiota and health
Cited by 241
- Verified
Single-nucleotide polymorphisms in NAGNAG acceptors are highly predictive for variations of alternative splicing
Hiller, M., Huse, K., Szafranski, K., Jahn, N., Hampe, J., Schreiber, S., Backofen, R., & Platzer, M. (2006) · The American Journal of Human Genetics
RNA Research and SplicingGenetic Associations and Epidemiology
Cited by 54
- Verified
CRISPR-Cas systems in multicellular cyanobacteria
Hou, S., Brenes-Álvarez, M., Reimann, V., Alkhnbashi, O. S., Backofen, R., Muro-Pastor, A. M., & Hess, W. R. (2019) · RNA Biology
CRISPR and Genetic EngineeringBacterial Genetics and Biotechnology
Cited by 47
- Verified
The SH2-domain of SHIP1 interacts with the SHIP1 C-terminus: Impact on SHIP1/Ig-α interaction
Mukherjee, O., Weingarten, L., Padberg, I., Pracht, C., Sinha, R., Hochdörfer, T., Kuppig, S., Backofen, R., Reth, M., & Huber, M. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
T-cell and B-cell ImmunologyProtein Tyrosine Phosphatases
Cited by 20
- Verified
An accessible infrastructure for artificial intelligence using a docker-based Jupyterlab in Galaxy
Kumar, A., Cuccuru, G., Grüning, B., & Backofen, R. (2022) · GigaScience
Scientific Computing and Data ManagementDistributed and Parallel Computing Systems
Cited by 6
- Verified
An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy
Kumar, A., Cuccuru, G., Grüning, B., & Backofen, R. (2022) · GigaScience
Scientific Computing and Data ManagementDistributed and Parallel Computing Systems
Cited by 6
- Verified
RAPDOR: Using Jensen-Shannon Distance for the computational analysis of complex proteomics datasets
Hemm, L., Rabsch, D., Ropp, H. R., Reimann, V., Gerth, P., Bartel, J., Brenes-Álvarez, M., Maaß, S., Becher, D., Hess, W. R., et al. (2025) · Nature Communications
Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks
Cited by 5
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