Linking the Resource Description Framework to cheminformatics and proteochemometrics. - Egon L. Willighagen; Jonathan Alvarsson; Annsofie Andersson; Martin Eklund; Samuel Lampa; Maris Lapins; Ola Spjuth; Jarl E. S. Wikberg (J. Biomed. Semant., 2011)

Large-scale ligand-based predictive modelling using support vector machines. - Jonathan Alvarsson; Samuel Lampa; Wesley Schaal; Claes R. Andersson; Jarl E. S. Wikberg; Ola Spjuth (J. Cheminformatics, 2016)

Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles. - Samuel Lampa; Jonathan Alvarsson; Ola Spjuth (J. Cheminformatics, 2016)

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management. - Samuel Lampa; Egon L. Willighagen; Pekka Kohonen; Ali King; Denny Vrandecic; Roland Grafstrom; Ola Spjuth (J. Biomed. Semant., 2017)

A confidence predictor for logD using conformal regression and a support-vector machine. - Maris Lapins; Staffan Arvidsson; Samuel Lampa; Arvid Berg; Wesley Schaal; Jonathan Alvarsson; Ola Spjuth (J. Cheminformatics, 2018)

Reproducible Data Analysis in Drug Discovery with Scientific Workflows and the Semantic Web. - Samuel Lampa (2018)

SciPipe - Turning Scientific Workflows into Computer Programs. - Samuel Lampa; Martin Dahlö; Jonathan Alvarsson; Ola Spjuth (Comput. Sci. Eng., 2019)

Towards reproducible computational drug discovery. - Nalini Schaduangrat; Samuel Lampa; Saw Simeon; Matthew Paul Gleeson; Ola Spjuth; Chanin Nantasenamat (J. Cheminformatics, 2020)

Approaches for containerized scientific workflows in cloud environments with applications in life science. - Ola Spjuth; Marco Capuccini; Matteo Carone; Anders Larsson; Wesley Schaal; Jon Ander Novella; Oliver Stein; Morgan Ekmefjord; Paolo Di Tommaso; Evan W. Floden; Cédric Notredame; Pablo A. Moreno; et al. (F1000Research, 2021)