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ORCIDJan Aerts
Person information
- affiliation: KU Leuven, Department of Electrical Engineering, The Netherlands
- affiliation: Amador Biosciences, Hasselt, Begium
- affiliation (former): Hasselt University, Hasselt, Begium
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Journal Articles
- 2024
[j25]Benjamin Bach
, Mandy Keck, Fateme Rajabiyazdi, Tatiana Losev, Isabel Meirelles, Jason Dykes, Robert S. Laramee, Mashael AlKadi, Christina Stoiber, Samuel Huron, Charles Perin, Luiz Morais, Wolfgang Aigner, Doris Kosminsky, Magdalena Boucher, Søren Knudsen, Areti Manataki, Jan Aerts, Uta Hinrichs, Jonathan C. Roberts, Sheelagh Carpendale:
Challenges and Opportunities in Data Visualization Education: A Call to Action. IEEE Trans. Vis. Comput. Graph. 30(1): 649-660 (2024)- 2022
- [j24]Georgia Panagiotidou, Jeroen Poblome, Jan Aerts, Andrew Vande Moere:
Designing a Data Visualisation for Interdisciplinary Scientists. How to Transparently Convey Data Frictions? Comput. Support. Cooperative Work. 31(4): 633-667 (2022) - 2021
- [j23]Jan Aerts, Jannes Peeters, Jelmer Bot, Danai Kafetzaki, Houda Lamqaddam:
Remote Instruction for Data Visualization Design - A Report From the Trenches. IEEE Computer Graphics and Applications 41(6): 15-24 (2021) - [j22]Jannes Peeters, Olivier Thas, Ziv Shkedy, Leyla Kodalci, Connie Musisi, Olajumoke Evangelina Owokotomo, Aleksandra Dyczko, Ibrahim Hamad, Jaco Vangronsveld, Markus Kleinewietfeld, Sofie Thijs, Jan Aerts:
Exploring the Microbiome Analysis and Visualization Landscape. Frontiers Bioinform. 1 (2021) - [j21]Daniel Alcaide, Jan Aerts:
A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes. PeerJ Comput. Sci. 7: e430 (2021) - [j20]Daniel Alcaide, Jan Aerts:
Spanning Trees as Approximation of Data Structures. IEEE Trans. Vis. Comput. Graph. 27(10): 3994-4008 (2021) - 2019
- [j19]Thomas Moerman, Sara Aibar Santos, Carmen Bravo González-Blas, Jaak Simm, Yves Moreau, Jan Aerts, Stein Aerts:
GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks. Bioinform. 35(12): 2159-2161 (2019) - 2018
- [j18]Daniel Alcaide, Jan Aerts:
MCLEAN: Multilevel Clustering Exploration As Network. PeerJ Comput. Sci. 4: e145 (2018) - 2016
- [j17]Léon-Charles Tranchevent, Amin Ardeshirdavani, Sarah ElShal, Daniel Alcaide, Jan Aerts, Didier Auboeuf, Yves Moreau:
Candidate gene prioritization with Endeavour. Nucleic Acids Res. 44(Webserver-Issue): W117-W121 (2016) - 2015
- [j16]Jan Aerts, G. Elisabeta Marai, Kay Nieselt, Cydney B. Nielsen, Marc Streit, Daniel Weiskopf:
Highlights from the 5th Symposium on Biological Data Visualization: Part 1. BMC Bioinform. 16(S11): S1 (2015) - 2014
- [j15]Toshiaki Katayama, Mark D. Wilkinson, Kiyoko F. Aoki-Kinoshita, Shuichi Kawashima, Yasunori Yamamoto, Atsuko Yamaguchi, Shinobu Okamoto, Shin Kawano, Jin-Dong Kim, Yue Wang, Hongyan Wu, Yoshinobu Kano, Hiromasa Ono, Hidemasa Bono, Simon Kocbek, Jan Aerts, Yukie Akune, Erick Antezana, Kazuharu Arakawa, Bruno Aranda, Joachim Baran, Jerven T. Bolleman, Raoul Jean Pierre Bonnal, Pier Luigi Buttigieg, Matthew P. Campbell, Yi-an Chen, Hirokazu Chiba, Peter J. A. Cock, Kevin Bretonnel Cohen, Alexandru Constantin:
BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains. J. Biomed. Semant. 5: 5 (2014) - 2013
- [j14]Georgios A. Pavlopoulos, Anastasis Oulas, Ernesto Iacucci, Alejandro Sifrim, Yves Moreau, Reinhard Schneider, Jan Aerts, Ioannis Iliopoulos:
Unraveling genomic variation from next generation sequencing data. BioData Min. 6: 13 (2013) - [j13]Ryo Sakai, Alejandro Sifrim, Andrew Vande Moere, Jan Aerts:
TrioVis: a visualization approach for filtering genomic variants of parent-child trios. Bioinform. 29(14): 1801-1802 (2013) - [j12]Ryo Sakai, Matthieu Moisse, Joke Reumers, Jan Aerts:
Pipit: visualizing functional impacts of structural variations. Bioinform. 29(17): 2206-2207 (2013) - 2012
- [j11]Raoul Jean Pierre Bonnal, Jan Aerts, George Githinji, Naohisa Goto, Daniel MacLean, Chase A. Miller, Hiroyuki Mishima, Massimiliano Pagani, Ricardo Ramirez-Gonzalez, Geert Smant, Francesco Strozzi, Rob Syme, Rutger A. Vos, Trevor J. Wennblom, Ben J. Woodcroft, Toshiaki Katayama, Pjotr Prins:
Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics. Bioinform. 28(7): 1035-1037 (2012) - [j10]Maria Secrier, Georgios A. Pavlopoulos, Jan Aerts, Reinhard Schneider:
Arena3D: visualizing time-driven phenotypic differences in biological systems. BMC Bioinform. 13: 45 (2012) - [j9]Hiroyuki Mishima, Jan Aerts, Toshiaki Katayama, Raoul Jean Pierre Bonnal, Koh-ichiro Yoshiura:
The Ruby UCSC API: accessing the UCSC genome database using Ruby. BMC Bioinform. 13: 240 (2012) - [j8]Christopher W. Bartlett, Soo Yeon Cheong, Liping Hou, Jesse Paquette, Pek Yee Lum, Günter Jäger, Florian Battke, Corinna Vehlow, Julian Heinrich, Kay Nieselt, Ryo Sakai, Jan Aerts, William C. Ray:
An eQTL biological data visualization challenge and approaches from the visualization community. BMC Bioinform. 13(S-8): S8 (2012) - [j7]Cameron Neylon, Jan Aerts, C. Titus Brown, Simon J. Coles, Les Hatton, Daniel Lemire, K. Jarrod Millman, Peter Murray-Rust, Fernando Pérez, Neil F. W. Saunders, Nigam Shah, Arfon M. Smith, Gaël Varoquaux, Egon L. Willighagen:
Changing computational research. The challenges ahead. Source Code Biol. Medicine 7: 2 (2012) - 2011
- [j6]Georgios A. Pavlopoulos, Maria Secrier, Charalampos N. Moschopoulos, Theodoros G. Soldatos, Sophia Kossida, Jan Aerts, Reinhard Schneider, Pantelis G. Bagos:
Using graph theory to analyze biological networks. BioData Min. 4: 10 (2011) - [j5]Francesco Strozzi, Jan Aerts:
A Ruby API to query the Ensembl database for genomic features. Bioinform. 27(7): 1013-1014 (2011) - [j4]Toshiaki Katayama, Mark D. Wilkinson, Rutger A. Vos, Takeshi Kawashima, Shuichi Kawashima, Mitsuteru Nakao, Yasunori Yamamoto, Hong-Woo Chun, Atsuko Yamaguchi, Shin Kawano, Jan Aerts, Kiyoko F. Aoki-Kinoshita, Kazuharu Arakawa, Bruno Aranda, Raoul Jean Pierre Bonnal, José María Fernández, Takatomo Fujisawa, Paul M. K. Gordon, Naohisa Goto, Syed Haider, Todd W. Harris, Takashi Hatakeyama, Isaac Ho, Masumi Itoh, Arek Kasprzyk, Nobuhiro Kido, Young-Joo Kim, Akira R. Kinjo, Fumikazu Konishi, Yulia Kovarskaya, Gregory Von Kuster, Alberto Labarga, Vachiranee Limviphuvadh, E. Luke McCarthy, Yasukazu Nakamura, Yunsun Nam, Kozo Nishida, Kunihiro Nishimura, Tatsuya Nishizawa, Soichi Ogishima, Tom Oinn, Shinobu Okamoto, Shujiro Okuda, Keiichiro Ono, Kazuki Oshita, Keun-Joon Park, Nicholas H. Putnam, Martin Senger, Jessica Severin, Yasumasa Shigemoto, Hideaki Sugawara, James Taylor, Oswaldo Trelles, Chisato Yamasaki, Riu Yamashita, Noriyuki Satoh, Toshihisa Takagi:
The 2nd DBCLS BioHackathon: interoperable bioinformatics Web services for integrated applications. J. Biomed. Semant. 2: 4 (2011) - 2010
- [j3]Naohisa Goto, Pjotr Prins, Mitsuteru Nakao, Raoul Jean Pierre Bonnal, Jan Aerts, Toshiaki Katayama:
BioRuby: bioinformatics software for the Ruby programming language. Bioinform. 26(20): 2617-2619 (2010) - [j2]Toshiaki Katayama, Kazuharu Arakawa, Mitsuteru Nakao, Keiichiro Ono, Kiyoko F. Aoki-Kinoshita, Yasunori Yamamoto, Atsuko Yamaguchi, Shuichi Kawashima, Hong-Woo Chun, Jan Aerts, Bruno Aranda, Lord H. Barboza, Raoul Jean Pierre Bonnal, Richard M. Bruskiewich, Jan Christian Bryne, José María Fernández, Akira Funahashi, Paul M. K. Gordon, Naohisa Goto, Andreas Groscurth, Alex Gutteridge, Richard C. G. Holland, Yoshinobu Kano, Edward A. Kawas, Arnaud Kerhornou, Eri Kibukawa, Akira R. Kinjo, Michael Kuhn, Hilmar Lapp, Heikki Lehväslaiho, Hiroyuki Nakamura, Yasukazu Nakamura, Tatsuya Nishizawa, Chikashi Nobata, Tamotsu Noguchi, Thomas M. Oinn, Shinobu Okamoto, Stuart Owen, Evangelos Pafilis, Matthew R. Pocock, Pjotr Prins, René Ranzinger, Florian Reisinger, Lukasz Salwínski, Mark J. Schreiber, Martin Senger, Yasumasa Shigemoto, Daron M. Standley, Hideaki Sugawara, Toshiyuki Tashiro, Oswaldo Trelles, Rutger A. Vos, Mark D. Wilkinson, William S. York, Christian M. Zmasek, Kiyoshi Asai, Toshihisa Takagi:
The DBCLS BioHackathon: standardization and interoperability for bioinformatics web services and workflows. J. Biomed. Semant. 1: 8 (2010) - 2009
- [j1]Jan Aerts, Andy Law:
An introduction to scripting in Ruby for biologists. BMC Bioinform. 10 (2009)
Conference and Workshop Papers
- 2022
- [c11]Dries Heylen, Jannes Peeters, Gökhan Ertaylan, Jef Hooyberghs, Jan Aerts:
MOBS - Multi-Omics Brush for Subgraph Visualisation. EuroVis (Posters) 2022: 43-45 - 2021
- [c10]Robin De Croon, Artuur Leeuwenberg, Jan Aerts, Marie-Francine Moens, Vero Vanden Abeele, Katrien Verbert:
TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports. IUI Companion 2021: 34-36 - 2018
- [c9]Daniel Alcaide, Jan Aerts:
Multilevel Visual Clustering Exploration for Incomplete Time-Series in Water Samples. VAST 2018: 116-117 - [c8]Houda Lamqaddam, Jan Aerts, Koenraad Brosens, Katrien Verbert:
NAHR: a visual representation of social networks as support for art history research. NordiCHI 2018: 634-641 - 2017
- [c7]Daniel Alcaide, Jan Aerts:
DaaG: Visual Analytics Clustering Using Network Representation. EuroVis (Posters) 2017: 61-63 - [c6]Thomas De Bodt, Bart Adams, Jan Aerts:
Interactive Visualization of Massive Location Data using Multi-Scale Trajectories. EuroVis (Posters) 2017: 65-67 - 2016
- [c5]Houda Lamqaddam, Jan Aerts:
InVITe - Towards Intuitive Visualization of Iterations over Text. EuroVis (Posters) 2016: 57-59 - 2015
- [c4]Ryo Sakai, Jan Aerts:
Card Sorting Techniques for Domain Characterization in Problem-driven Visualization Research. EuroVis (Short Papers) 2015: 121-125 - 2014
- [c3]Dusan Popovic, Charalampos N. Moschopoulos, Ryo Sakai, Alejandro Sifrim, Jan Aerts, Yves Moreau, Bart De Moor:
A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery. CBMS 2014: 233-238 - [c2]Alvin Chua, Ryo Sakai, Jan Aerts, Andrew Vande Moere:
A three step process to design visualisations for GeoTemporal analysis (VAST 2014 Mini Challenge 2). IEEE VAST 2014: 349-350 - 2012
- [c1]Thomas Boogaerts, Léon-Charles Tranchevent, Georgios A. Pavlopoulos, Jan Aerts, Joos Vandewalle:
Visualizing high dimensional datasets using parallel coordinates: Application to gene prioritization. BIBE 2012: 52-57
Informal and Other Publications
- 2023
- [i5]Benjamin Bach, Mandy Keck, Fateme Rajabiyazdi, Tatiana Losev, Isabel Meirelles, Jason Dykes, Robert S. Laramee, Mashael AlKadi, Christina Stoiber, Samuel Huron, Charles Perin, Luiz Morais, Wolfgang Aigner, Doris Kosminsky, Magdalena Boucher, Søren Knudsen, Areti Manataki, Jan Aerts, Uta Hinrichs, Jonathan C. Roberts, Sheelagh Carpendale:
Challenges and Opportunities in Data Visualization Education: A Call to Action. CoRR abs/2308.07703 (2023) - [i4]Daniël M. Bot, Jannes Peeters, Jori Liesenborgs, Jan Aerts:
FLASC: A Flare-Sensitive Clustering Algorithm: Extending HDBSCAN* for Detecting Branches in Clusters. CoRR abs/2311.15887 (2023) - 2019
- [i3]Daniel Alcaide, Jan Aerts:
Improving the Projection of Global Structures in Data through Spanning Trees. CoRR abs/1907.05783 (2019) - 2018
- [i2]Jan Aerts, Nils Gehlenborg, Georgeta Elisabeta Marai, Kay Katja Nieselt:
Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161). Dagstuhl Reports 8(4): 32-71 (2018) - 2017
- [i1]Daniel Alcaide, Jan Aerts:
MCLEAN: Multilevel Clustering Exploration As Network. PeerJ Prepr. 5: e3448 (2017)
Coauthor Index
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last updated on 2024-05-09 00:02 CEST by the dblp team
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