Blar i Bergen Open Research Archive på forfatter "Palmblad, Magnus"

Viser treff 1-3 av 3

    • Community curation of bioinformatics software and data resources 

      Ison, Jon; Ménager, Hervé; Brancotte, Bryan; Jaaniso, Erik; Salumets, Ahto; Raček, Tomáš; Lamprecht, Anna-Lena; Palmblad, Magnus; Kalaš, Matúš; Chmura, Piotr; Hancock, John M; Schwämmle, Veit; Ienasescu, Hans-Ioan (Peer reviewed; Journal article, 2019)
      The corpus of bioinformatics resources is huge and expanding rapidly, presenting life scientists with a growing challenge in selecting tools that fit the desired purpose. To address this, the European Infrastructure for ...

    • Palaeoproteomics of fossil bird bones for taxonomic classification 

      Horn, Ivo R.; Kenens, Y.; Palmblad, Magnus; van der Plas-Duivesteijn, Suzanne J; Langeveld, Bram W.; Dalebout, Hans; Meijer, Hanneke; Marissen, Rob J.; Fischer, Anja; Florens, F.B. Vincent; Niemann, Jonas; Rijsdijk, Kenneth F.; Schulp, Anne S.; Laros, Jeroen F.J.; Gravendeel, Barbara (Peer reviewed; Journal article, 2019)
      We used proteomic profiling to taxonomically classify extinct, alongside extant bird species using mass spectrometry on ancient bone-derived collagen chains COL1A1 and COL1A2. Proteins of Holocene and Late Pleistocene-aged ...

    • 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 ...