• Perspectives on automated composition of workflows in the life sciences [version 1; peer review: 2 approved] 

      Lamprecht, Anna-Lena; Palmblad, Magnus; Ison, Jon; Schwämmle, Veit; Al Manir, Mohammad Sadnan; Altintas, Ilkay; Baker, Christopher J. O.; Ben Hadj Amor, Ammar; Capella-Gutierrez, Salvador; Charonyktakis, Paulos; Crusoe, Michael R.; Gil, Yolanda; Goble, Carole; Griffin, Timothy J.; Groth, Paul; Ienasescu, Hans; Jagtap, Pratik; Kalaš, Matúš; Kasalica, Vedran; Khanteymoori, Alireza; Kuhn, Tobias; Mei, Hailiang; Ménager, Hervé; Möller, Steffen; Richardson, Robin A.; Robert, Vincent; Soiland-Reyes, Stian; Stevens, Robert; Szaniszlo, Szoke; Verberne, Suzan; Verhoeven, Aswin; Wolstencroft, Katherine (Journal article; Peer reviewed, 2021)
      Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition has remained a cumbersome ...