Research output per year
Research output per year
Personal profile
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Personal information
Research
My research generally involves integrating, modelling and learning from data that has been derived from several sources ranging from high-throughput molecular profiling techniques to atomic force spectroscopy measurements. My focus lies both on mining quantitative data from heterogeneous sources effectively, and modelling such data within the given physical constraints.
Interests
- Bioinformatics
- Computational biophysics
- Data science
- Protein thermodynamics
- Mining quantitative data
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- Q Science (General)
- Bioinformatics
- Data Science
- Biophysical simulations
- Data integration
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language
Crusoe, M. R., Abeln, S., Iosup, A., Amstutz, P., Chilton, J., Tijanić, N., Ménager, H., Soiland-Reyes, S. & Goble, C., 20 May 2022, In: Communications of the ACM. 65, 6, p. 54-63 11 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile155 Downloads (Pure) -
The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth
van Gils, J. H. M., van Dijk, E., Peduzzo, A., Hofmann, A., Vettore, N., Schützmann, M. P., Groth, G., Mouhib, H., Otzen, D. E., Buell, A. K. & Abeln, S., 4 May 2020, In: PLoS Computational Biology. 16, 5, p. 1-25 25 p., e1007767.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Consistent Treatment of Hydrophobicity in Protein Lattice Models Accounts for Cold Denaturation
van Dijk, E., Varilly, P., Knowles, T. P. J., Frenkel, D. & Abeln, S., 19 Feb 2016, In: Physical Review Letters. 116, 7, p. 078101Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
The Hydrophobic Temperature Dependence of Amino Acids Directly Calculated from Protein Structures
van Dijk, E., Hoogeveen, A. & Abeln, S., 1 May 2015, In: PLoS Computational Biology. 11, 5, e1004277.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
High Prevalence and Clinical Relevance of Genes Affected by Chromosomal Breaks in Colorectal Cancer
van den Broek, E., Dijkstra, M. J. J., Krijgsman, O., Sie, D. L. S., Haan, J. C., Traets, J. J. H., van de Wiel, M. A., Nagtegaal, I. D., Punt, C. J. A., Carvalho, B., Ylstra, B., Abeln, S., Meijer, G. A. & Fijneman, R. J. A., 2015, In: PLoS ONE. 10, 9, e0138141.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Courses
Projects
- 4 Finished
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Targeting chromosomal breakpoint structural variants in colorectal cancer
1/10/21 → 31/10/24
Project: Research
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Multi-omics Interdisciplinary Research Integration to Address DEmentia diagnosis.
Abeln, S., Gogishvili, D., Waury, K. & Heringa, J.
1/11/19 → 31/08/24
Project: Research
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Delineating entropic contributions in beta-strand formation.
Abeln, S., Hashemi Shabestari, M. & van Gils, J.
1/08/18 → 30/09/23
Project: Research
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Prizes / Grants
Datasets
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Additional file 5 of INFLECT: an R-package for cytometry cluster evaluation using marker modality
Verhoeff, J. (Creator), Abeln, S. (Creator) & Garcia-Vallejo, J. J. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.21582080, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_INFLECT_an_R-package_for_cytometry_cluster_evaluation_using_marker_modality/21582080
Dataset / Software: Dataset
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Additional file 2 of INFLECT: an R-package for cytometry cluster evaluation using marker modality
Verhoeff, J. (Creator), Abeln, S. (Creator) & Garcia-Vallejo, J. J. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.21582071.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_INFLECT_an_R-package_for_cytometry_cluster_evaluation_using_marker_modality/21582071/1
Dataset / Software: Dataset
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Additional file 4 of INFLECT: an R-package for cytometry cluster evaluation using marker modality
Verhoeff, J. (Creator), Abeln, S. (Creator) & Garcia-Vallejo, J. J. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.21582077.v1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_INFLECT_an_R-package_for_cytometry_cluster_evaluation_using_marker_modality/21582077/1
Dataset / Software: Dataset
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Additional file 5 of INFLECT: an R-package for cytometry cluster evaluation using marker modality
Verhoeff, J. (Creator), Abeln, S. (Creator) & Garcia-Vallejo, J. J. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.21582080.v1, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_INFLECT_an_R-package_for_cytometry_cluster_evaluation_using_marker_modality/21582080/1
Dataset / Software: Dataset
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Additional file 4 of INFLECT: an R-package for cytometry cluster evaluation using marker modality
Verhoeff, J. (Creator), Abeln, S. (Creator) & Garcia-Vallejo, J. J. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.21582077, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_INFLECT_an_R-package_for_cytometry_cluster_evaluation_using_marker_modality/21582077
Dataset / Software: Dataset