Expanding the Use of Spectral Libraries in Proteomics von Deutsch, Eric W, Perez-Riverol, Yasset, Chalkley, Robert J, Wilhelm, Mathias, Tate, Stephen, Sachsenberg, Timo, Walzer, Mathias, Käll, Lukas, Delanghe, Bernard, Böcker, Sebastian, Schymanski, Emma L, Wilmes, Paul, Dorfer, Viktoria, Kuster, Bernhard, Volders, Pieter-Jan, Jehmlich, Nico, Vissers, Johannes P. C, Wolan, Dennis W, Wang, Ana Y, Mendoza, Luis, Shofstahl, Jim, Dowsey, Andrew W, Griss, Johannes, Salek, Reza M, Neumann, Steffen, Binz, Pierre-Alain, Lam, Henry, Vizcaíno, Juan Antonio, Bandeira, Nuno, Röst, Hannes

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The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research von Bittremieux, Wout, Bouyssie, David, Dorfer, Viktoria, Locard-Paulet, Marie, Perez-Riverol, Yasset, Schwammle, Veit, Uszkoreit, Julian, Van den Bossche, Tim

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MS Amanda, a Universal Identification Algorithm Optimized for High Accuracy Tandem Mass Spectra von Dorfer, Viktoria, Pichler, Peter, Stranzl, Thomas, Stadlmann, Johannes, Taus, Thomas, Winkler, Stephan, Mechtler, Karl

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CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction von Dorfer, Viktoria, Maltsev, Sergey, Winkler, Stephan, Mechtler, Karl

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MS Ana: Improving Sensitivity in Peptide Identification with Spectral Library Search von Dorl, Sebastian, Winkler, Stephan, Mechtler, Karl, Dorfer, Viktoria

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Proceedings of the EuBIC Winter School 2019 von Kopczynski, Dominik, Bittremieux, Wout, Bouyssié, David, Dorfer, Viktoria, Locard-Paulet, Marie, Van Puyvelde, Bart, Schwämmle, Veit, Soggiu, Alessio, Willems, Sander, Uszkoreit, Julian

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MS Amanda 2.0: Advancements in the standalone implementation von Dorfer, Viktoria, Strobl, Marina, Winkler, Stephan, Mechtler, Karl

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MS2Rescore 3.0 Is a Modular, Flexible, and User-Friendly Platform to Boost Peptide Identifications, as Showcased with MS Amanda 3.0 von Buur, Louise M., Declercq, Arthur, Strobl, Marina, Bouwmeester, Robbin, Degroeve, Sven, Martens, Lennart, Dorfer, Viktoria, Gabriels, Ralf

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MS 2 Rescore 3.0 Is a Modular, Flexible, and User-Friendly Platform to Boost Peptide Identifications, as Showcased with MS Amanda 3.0 von Buur, Louise M, Declercq, Arthur, Strobl, Marina, Bouwmeester, Robbin, Degroeve, Sven, Martens, Lennart, Dorfer, Viktoria, Gabriels, Ralf

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MS Annika: A New Cross-Linking Search Engine von Pirklbauer, Georg J, Stieger, Christian E, Matzinger, Manuel, Winkler, Stephan, Mechtler, Karl, Dorfer, Viktoria

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MS²Rescore 3.0 is a modular, flexible, and user-friendly platform to boost peptide identifications, as showcased with MS Amanda 3.0 von Buur, Louise M, Declercq, Arthur, Strobl, Marina, Bouwmeester, Robbin, Degroeve, Sven, Martens, Lennart, Dorfer, Viktoria, Gabriels, Ralf

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The European Bioinformatics Community for Mass Spectrometry (EuBIC‐MS) : an open community for bioinformatics training and research von Bittremieux, Wout, Bouyssié, David, Dorfer, Viktoria, Locard‐Paulet, Marie, Perez‐Riverol, Yasset, Schwämmle, Veit, Uszkoreit, Julian, Van Den Bossche, Tim

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Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison von Schmidt, Tobias, Samaras, Patroklos, Dorfer, Viktoria, Panse, Christian, Kockmann, Tobias, Bichmann, Leon, van Puyvelde, Bart, Perez-Riverol, Yasset, Deutsch, Eric W, Kuster, Bernhard, Wilhelm, Mathias

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PhoStar: Identifying Tandem Mass Spectra of Phosphorylated Peptides before Database Search von Dorl, Sebastian, Winkler, Stephan, Mechtler, Karl, Dorfer, Viktoria

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Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis von Frech, Christian, Kommenda, Michael, Dorfer, Viktoria, Kern, Thomas, Hintner, Helmut, Bauer, Johann W, Onder, Kamil

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MS Annika 2.0 Identifies Cross-Linked Peptides in MS2–MS3-Based Workflows at High Sensitivity and Specificity von Birklbauer, Micha J., Matzinger, Manuel, Müller, Fränze, Mechtler, Karl, Dorfer, Viktoria

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Toward an Integrated Machine Learning Model of a Proteomics Experiment von Neely, Benjamin A., Dorfer, Viktoria, Martens, Lennart, Bludau, Isabell, Bouwmeester, Robbin, Degroeve, Sven, Deutsch, Eric W., Gessulat, Siegfried, Käll, Lukas, Palczynski, Pawel, Payne, Samuel H., Rehfeldt, Tobias Greisager, Schmidt, Tobias, Schwämmle, Veit, Uszkoreit, Julian, Vizcaíno, Juan Antonio, Wilhelm, Mathias, Palmblad, Magnus

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Toward an integrated machine learning model of a proteomics experiment von Neely, Benjamin A, Dorfer, Viktoria, Martens, Lennart, Bludau, Isabell, Bouwmeester, Robbin, Degroeve, Sven, Deutsch, Eric W, Gessulat, Siegfried, Kaell, Lukas, Palczynski, Pawel, Payne, Samuel H, Rehfeldt, Tobias Greisager, Schmidt, Tobias, Schwaemmle, Veit, Uszkoreit, Julian, Vizcaino, Juan Antonio, Wilhelm, Mathias, Palmblad, Magnus

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Data-based prediction of sentiments using heterogeneous model ensembles von Winkler, Stephan, Schaller, Susanne, Dorfer, Viktoria, Affenzeller, Michael, Petz, Gerald, Karpowicz, Michał

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Single Molecule Fluorescence Microscopy and Machine Learning for Rhesus D Antigen Classification von Borgmann, Daniela M., Mayr, Sandra, Polin, Helene, Schaller, Susanne, Dorfer, Viktoria, Obritzberger, Lisa, Endmayr, Tanja, Gabriel, Christian, Winkler, Stephan M., Jacak, Jaroslaw

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