Lukas Käll

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 49

Top Venues

Journal of proteome research

Nature

Nature methods

Molecular & cellular proteomics : MCP

Karolinska Institutet (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Karolinska Institutet May 01 2002 - May 01 2006

Sweden

PHD :: Center for Genomics and Bioinformatics

Uppsala Universitet Sep 01 1989

Sweden

MSC

Publications

Gustavo S Jeuken, Lukas Käll
Pathway analysis through mutual information. Bioinformatics (Oxford, England) 40 (1) (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Gustavo S Jeuken, Lukas Käll
Pathway analysis through mutual information. Bioinformatics (Oxford, England) 40 (1) (2024)
Chengxin Dai, Julianus Pfeuffer, Hong Wang, Ping Zheng, Lukas Käll, Timo Sachsenberg, Vadim Demichev, Mingze Bai, Oliver Kohlbacher, Yasset Perez Riverol
quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data. Nature methods (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Markus Ekvall, Ludvig Bergenstråhle, Alma Andersson, Paulo Czarnewski, Johannes Olegård, Lukas Käll, Joakim Lundeberg
Spatial landmark detection and tissue registration with deep learning. Nature methods 21 (4) (2024)
Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres
Automated model building and protein identification in cryo-EM maps. Nature 628 (8007) (2024)
Marco Vicari, Reza Mirzazadeh, Anna Nilsson, Reza Shariatgorji, Patrik Bjärterot, Ludvig Larsson, Hower Lee, Mats Nilsson, Julia Foyer, Markus Ekvall, Paulo Czarnewski, Xiaoqun Zhang, Per Svenningsson, Lukas Käll, Per E Andren, Joakim Lundeberg
Spatial multimodal analysis of transcriptomes and metabolomes in tissues. Nature biotechnology (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research 22 (3) (2023)
Patrick Truong, Matthew The, Lukas Käll
Triqler for Protein Summarization of Data from Data-Independent Acquisition Mass Spectrometry. Journal of proteome research (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research 22 (3) (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research 22 (3) (2023)
Jakub Vašíček, Dafni Skiadopoulou, Ksenia G Kuznetsova, Bo Wen, Stefan E Johansson, Pal Rasmus Njolstad, Stefan Bruckner, Lukas Käll, Marc Vaudel
Finding haplotypic signatures in proteins. GigaScience 12 (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research 22 (3) (2023)
Benjamin A Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric W Deutsch, Siegfried Gessulat, Lukas Käll, Pawel Palczynski, Samuel H Payne, Tobias Greisager Rehfeldt, Tobias K Schmidt, Veit Schwämmle, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad
Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of proteome research 22 (3) (2023)
Dafni Skiadopoulou, Jakub Vašíček, Ksenia Kuznetsova, David Bouyssié, Lukas Käll, Marc Vaudel
Retention Time and Fragmentation Predictors Increase Confidence in Identification of Common Variant Peptides. Journal of proteome research (2023)
Deanna L Plubell, Lukas Käll, Bobbie-Jo Webb-Robertson, Lisa M Bramer, Ashley N Ives, Michael P Snyder, Lloyd M Smith, Thomas J Montine, Christine C Wu, Michael J MacCoss
Putting Humpty Dumpty Back Together Again: What Does Protein Quantification Mean in Bottom-Up Proteomics? Journal of proteome research 21 (4) (2022)
Markus Ekvall, Patrick Truong, Wassim Gabriel, Mathias Wilhelm, Lukas Käll
Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities. Journal of proteome research 21 (5) (2022)
Gustavo S Jeuken, Nicholas P Tobin, Lukas Käll
Survival analysis of pathway activity as a prognostic determinant in breast cancer. PLoS computational biology 18 (3) (2022)
Magnus Palmblad, Sebastian Böcker, Sven Degroeve, Oliver Kohlbacher, Lukas Käll, William Stafford Noble, Mathias Wilhelm
Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics. Journal of proteome research 21 (4) (2022)
Florian A Schober, David Moore, Ilian Atanassov, Marco F Moedas, Paula Clemente, Ákos Végvári, Najla El Fissi, Roberta Filograna, Anna-Lena Bucher, Yvonne Hinze, Matthew The, Erik Hedman, Ekaterina Chernogubova, Arjana Begzati, Rolf Wibom, Mohit Jain, Roland Nilsson, Lukas Käll, Anna Wedell, Christoph Freyer, Anna Wredenberg
The one-carbon pool controls mitochondrial energy metabolism via complex I and iron-sulfur clusters. Science advances 7 (8) (2021)
Kyle Lucke, Jake Pennington, Patrick Kreitzberg, Lukas Käll, Oliver Serang
Performing Selection on a Monotonic Function in Lieu of Sorting Using Layer-Ordered Heaps. Journal of proteome research 20 (4) (2021)
Matthew The, Lukas Käll
Triqler for MaxQuant: Enhancing Results from MaxQuant by Bayesian Error Propagation and Integration. Journal of proteome research 20 (4) (2021)
Matthew The, Lukas Käll
Focus on the spectra that matter by clustering of quantification data in shotgun proteomics. Nature communications 11 (1) (2020)
John T Halloran, Hantian Zhang, Kaan Kara, Cédric Renggli, Matthew The, Ce Zhang, David M Rocke, Lukas Käll, William Stafford Noble
Speeding Up Percolator. Journal of proteome research 18 (9) (2019)
Eric W Deutsch, Yasset Perez Riverol, Robert J Chalkley, Mathias Wilhelm, Stephen Tate, Timo Sachsenberg, Mathias Walzer, Lukas Käll, Bernard Delanghe, Sebastian Böcker, Emma L Schymanski, Paul Wilmes, Viktoria Dorfer, Bernhard Kuster, Pieter-Jan Volders, Nico Jehmlich, Johannes P C Vissers, Dennis W Wolan, Ana Y Wang, Luis Mendoza, Jim Shofstahl, Andrew W Dowsey, Johannes Griss, Reza M Salek, Steffen Neumann, Pierre-Alain Binz, Henry H N Lam, Juan Antonio Vizcaino, Nuno Bandeira, Hannes L Röst
Expanding the Use of Spectral Libraries in Proteomics. Journal of proteome research 17 (12) (2018)
Matthew The, Fredrik Edfors, Yasset Perez Riverol, Samuel H Payne, Michael R Hoopmann, Magnus Palmblad, Björn Forsström, Lukas Käll
A Protein Standard That Emulates Homology for the Characterization of Protein Inference Algorithms. Journal of proteome research 17 (5) (2018)
Johannes Griss, Yasset Perez-Riverol, Matthew The, Lukas Käll, Juan Antonio Vizcaíno
Response to "Comparison and Evaluation of Clustering Algorithms for Tandem Mass Spectra". Journal of proteome research 17 (5) (2018)
Gustavo S Jeuken, Lukas Käll
A simple null model for inferences from network enrichment analysis. PloS one 13 (11) (2018)
Matthew The, Lukas Käll
Integrated Identification and Quantification Error Probabilities for Shotgun Proteomics. Molecular & cellular proteomics : MCP 18 (3) (2018)
Bo Zhang, Mohammad Pirmoradian, Roman A Zubarev, Lukas Käll
Covariation of Peptide Abundances Accurately Reflects Protein Concentration Differences. Molecular & cellular proteomics : MCP 16 (5) (2017)
Bo Zhang, Lukas Käll, Roman A Zubarev
DeMix-Q: Quantification-Centered Data Processing Workflow. Molecular & cellular proteomics : MCP 15 (4) (2016)
Rui M M Branca, Lukas M Orre, Henrik J Johansson, Viktor Granholm, Mikael Huss, Åsa Pérez-Bercoff, Jenny Forshed, Lukas Käll, Janne Lehtiö
HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics. Nature methods 11 (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lukas Käll