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Highlights from the 5th Symposium on Biological Data Visualization: Part 1

J. Aerts, G. Marai, K. Nieselt, C. Nielsen, M. Streit, and D. Weiskopf. Proceedings of the 5th Symposium on Biological Data Visualization, volume 1 of BMC bioinformatics, page S1. BioMed Central, (2015)
DOI: 10.1186/1471-2105-16-S11-S1

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Tim Janz University of Stuttgart

Benedikt Janny

PD Dr. phil. Frank Janle University of Stuttgart

Isabel Janowsky-Vidovic University of Stuttgart

Hon. -Prof. Dr. Martin Jansen University of Stuttgart

Other publications of authors with the same name

Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161).J. Aerts, N. Gehlenborg, G. Marai, and K. Nieselt. Dagstuhl Reports, 8 (4): 32-71 (2018)An introduction to scripting in Ruby for biologists.J. Aerts, and A. Law. BMC Bioinformatics, (2009)GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks.T. Moerman, S. Santos, C. González-Blas, J. Simm, Y. Moreau, J. Aerts, and S. Aerts. Bioinformatics, 35 (12): 2159-2161 (2019)Multilevel Visual Clustering Exploration for Incomplete Time-Series in Water Samples.D. Alcaide, and J. Aerts. VAST, page 116-117. IEEE, (2018)Unraveling genomic variation from next generation sequencing data.G. Pavlopoulos, A. Oulas, E. Iacucci, A. Sifrim, Y. Moreau, R. Schneider, J. Aerts, and I. Iliopoulos. BioData Min., (2013)An eQTL biological data visualization challenge and approaches from the visualization communityC. Bartlett, S. Cheong, L. Hou, J. Paquette, P. Lum, G. Jaeger, F. Battke, C. Vehlow, J. Heinrich, K. Nieselt and 3 other author(s). BMC Bioinformatics, (2012)MCLEAN: Multilevel Clustering Exploration As Network.D. Alcaide, and J. Aerts. PeerJ PrePrints, (2017)The Ruby UCSC API: accessing the UCSC genome database using Ruby.H. Mishima, J. Aerts, T. Katayama, R. Bonnal, and K. ichiro Yoshiura. BMC Bioinformatics, (2012)Candidate gene prioritization with Endeavour.L. Tranchevent, A. Ardeshirdavani, S. ElShal, D. Alcaide, J. Aerts, D. Auboeuf, and Y. Moreau. Nucleic Acids Research, 44 (Webserver-Issue): W117-W121 (2016)Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics.R. Bonnal, J. Aerts, G. Githinji, N. Goto, D. MacLean, C. Miller, H. Mishima, M. Pagani, R. Ramirez-Gonzalez, G. Smant and 7 other author(s). Bioinformatics, 28 (7): 1035-1037 (2012)