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Sanne Abeln
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- affiliation: Free University of Amsterdam, Netherlands
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2020 – today
- 2024
- [i5]Dea Gogishvili, Emmanuel Minois-Genin, Jan van Eck, Sanne Abeln
:
PatchProt: Hydrophobic patch prediction using protein foundation models. CoRR abs/2405.15928 (2024) - 2022
- [j23]Bas Stringer, Hans de Ferrante, Sanne Abeln
PIPENN: protein interface prediction from sequence with an ensemble of neural nets. Bioinform. 38(8): 2111-2118 (2022) - [j22]Jan Verhoeff
INFLECT: an R-package for cytometry cluster evaluation using marker modality. BMC Bioinform. 23(1): 487 (2022) - [j21]Michael R. Crusoe
Methods included. Commun. ACM 65(6): 54-63 (2022) - 2021
- [j20]Qingzhen Hou
SeRenDIP-CE: sequence-based interface prediction for conformational epitopes. Bioinform. 37(20): 3421-3427 (2021) - [i4]Michael R. Crusoe
Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. CoRR abs/2105.07028 (2021) - 2020
- [j19]Juami Hermine Mariama van Gils
The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth. PLoS Comput. Biol. 16(5) (2020)
2010 – 2019
- 2019
- [j18]Qingzhen Hou
SeRenDIP: SEquential REmasteriNg to DerIve profiles for fast and accurate predictions of PPI interface positions. Bioinform. 35(22): 4794-4796 (2019) - [j17]Maurits J. J. Dijkstra
Tailor-made multiple sequence alignments using the PRALINE 2 alignment toolkit. Bioinform. 35(24): 5315-5317 (2019) - [r1]Sanne Abeln
Protein Three-Dimensional Structure Prediction. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 497-511 - 2018
- [j16]K. Anton Feenstra
Training for translation between disciplines: a philosophy for life and data sciences curricula. Bioinform. 34(13): i4-i12 (2018) - [j15]Maurits J. J. Dijkstra
Motif-Aware PRALINE: Improving the alignment of motif regions. PLoS Comput. Biol. 14(11) (2018) - 2017
- [i3]Chao Zhang, Jochem Bijlard, Christine Staiger, Serena A. Scollen
Systematically linking tranSMART, Galaxy and EGA for reusing human translational research data. F1000Research 6: 1488- (2017) - 2016
- [j14]Ali May, Bernd W. Brandt
metaModules identifies key functional subnetworks in microbiome-related disease. Bioinform. 32(11): 1678-1685 (2016) - [j13]Reza Haydarlou, Annika Jacobsen
BioASF: a framework for automatically generating executable pathway models specified in BioPAX. Bioinform. 32(12): 60-69 (2016) - [j12]Jaap Heringa, Marcel J. T. Reinders, Sanne Abeln
ECCB 2016: The 15th European Conference on Computational Biology. Bioinform. 32(17): 389-392 (2016) - [c5]Bas Stringer, Albert Meroño-Peñuela, Sanne Abeln, Frank van Harmelen, Jaap Heringa:
SCRY: Extending SPARQL with Custom Data Processing Methods for the Life Sciences. SWAT4LS 2016 - [i2]Evert van den Broek, Stef van Lieshout, Christian Rausch, Bauke Ylstra
GeneBreak: detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genes. F1000Research 5: 2340 (2016) - [i1]Youri Hoogstrate
Integration of EGA secure data access into Galaxy. F1000Research 5: 2841 (2016) - 2015
- [j11]Ali May, Sanne Abeln
NGS-eval: NGS Error analysis and novel sequence VAriant detection tooL. Nucleic Acids Res. 43(Webserver-Issue): W301-W305 (2015) - [j10]Erik van Dijk
The Hydrophobic Temperature Dependence of Amino Acids Directly Calculated from Protein Structures. PLoS Comput. Biol. 11(5) (2015) - [j9]Predrag Kukic, Arvind Kannan, Maurits J. J. Dijkstra, Sanne Abeln
Mapping the Protein Fold Universe Using the CamTube Force Field in Molecular Dynamics Simulations. PLoS Comput. Biol. 11(10) (2015) - [c4]Bas Stringer, Maurits J. J. Dijkstra, K. Anton Feenstra
Explaining disease using big data: How valid is your pathway? HPCS 2015: 662-664 - [c3]Bas Stringer, Albert Meroño-Peñuela, Antonis Loizou, Sanne Abeln, Jaap Heringa:
To SCRY Linked Data: Extending SPARQL the Easy Way. Diversity++@ISWC 2015: 8-14 - [c2]Bas Stringer, Albert Meroño-Peñuela, Antonis Loizou, Sanne Abeln, Jaap Heringa:
SCRY: Enabling Quantitative Reasoning in SPARQL Queries. SWAT4LS 2015: 214-215 - 2014
- [j8]Ali May, René Pool
Coarse-grained versus atomistic simulations: realistic interaction free energies for real proteins. Bioinform. 30(3): 326-334 (2014) - [j7]Ali May, Sanne Abeln
Unraveling the outcome of 16S rDNA-based taxonomy analysis through mock data and simulations. Bioinform. 30(11): 1530-1538 (2014) - 2013
- [j6]Sanne Abeln
Bioinformatics and Systems Biology: bridging the gap between heterogeneous student backgrounds. Briefings Bioinform. 14(5): 589-598 (2013) - [j5]Hannah Edwards, Sanne Abeln
Exploring Fold Space Preferences of New-born and Ancient Protein Superfamilies. PLoS Comput. Biol. 9(11) (2013) - 2012
- [j4]Marc J. Bonder
Comparing clustering and pre-processing in taxonomy analysis. Bioinform. 28(22): 2891-2897 (2012)
2000 – 2009
- 2008
- [j3]Sanne Abeln
Disordered Flanks Prevent Peptide Aggregation. PLoS Comput. Biol. 4(12) (2008) - 2007
- [j2]Sanne Abeln
Linking evolution of protein structures through fragments. BMC Syst. Biol. 1(S-1): S12 (2007) - [j1]Sanne Abeln
Using Phylogeny to Improve Genome-Wide Distant Homology Recognition. PLoS Comput. Biol. 3(1) (2007) - 2005
- [c1]Henry F. Winstanley, Sanne Abeln
How old is your fold? ISMB (Supplement of Bioinformatics) 2005: 449-458
Coauthor Index
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