Die Übertragung des MUMBLE-Generators für die Generirung von Deutsch. - Daniel Jacob; Elisabeth Maier (ÖGAI, 1988)

In silico exploration of the fructose-6-phosphate phosphorylation step in glycolysis: genomic evidence of the coexistence of an atypical ATP-dependent along with a PPi-dependent phosphofructokinase in Propionibacterium freudenreichii subsp. shermanii. - Guillaume Meurice; Catherine Deborde; Daniel Jacob; Hélène Falentin; Patrick Boyaval; Diliana Dimova (Silico Biol., 2004)

MetaBase - the wiki-database of biological databases. - Dan M. Bolser; Pierre-Yves Chibon; Nicolas Palopoli; Sungsam Gong; Daniel Jacob; Victoria Dominguez Del Angel; Daniel Swan; Sebastian Bassi; Virginia González; Prashanth Suravajhala; Seungwoo Hwang; Paolo Romano 001; et al. (Nucleic Acids Res., 2012)

Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. - Franck Giacomoni; Gildas Le Corguillé; Misharl Monsoor; Marion Landi; Pierre Pericard; Mélanie Pétéra; Christophe Duperier; Marie Tremblay-Franco; Jean-François Martin; Daniel Jacob; Sophie Goulitquer; Etienne A. Thévenot; et al. (Bioinform., 2015)

Using Qualitative Data Analysis to Measure User Experience in a Serious Game for Premed Students. - Marjorie A. Zielke; Djakhangir Zakhidov; Daniel Jacob; Sean Lenox (HCI (10), 2016)

Beyond fun and games: Toward an adaptive and emergent learning platform for pre-med students with the UT TIME Portal. - Marjorie A. Zielke; Djakhangir Zakhidov; Daniel Jacob; Gary Hardee (SeGAH, 2016)

Affordable Uplift: Supervised Randomization in Controlled Experiments. - Johannes Haupt; Daniel Jacob; Robin Marco Gubela; Stefan Lessmann (ICIS, 2019)

FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles. - Romain David 001; Laurence Mabile; Alison Specht; Sarah Stryeck; Mogens Thomsen; Mohamed Yahia; Clément Jonquet; Laurent Dollé; Daniel Jacob; Daniele Bailo; Elena Bravo; Sophie Gachet; et al. (Data Sci. J., 2020)

An Advanced Open-Source Platform for Air Quality Analysis, Visualization, and Prediction. - Thomas Huang 001; Nga T. Chung; Alex Dunn; Erik Hovland; Jason Kang; Thomas Loubrieu; Jessica Neu; Joe T. Roberts; Sina Hasheminassab; Kevin Marlis; Liam Bindle; Lucas Estrada; et al. (IGARSS, 2022)

Essays on using machine learning for causal inference. - Daniel Jacob (2022)