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Lukas Käll
Lukas Käll
Professor, Science for Life Laboratory, KTH Royal Institute of Technology
E-mailová adresa ověřena na: kth.se - Domovská stránka
Název
Citace
Citace
Rok
A combined transmembrane topology and signal peptide prediction method
L Käll, A Krogh, ELL Sonnhammer
Journal of molecular biology 338 (5), 1027-1036, 2004
26902004
Semi-supervised learning for peptide identification from shotgun proteomics datasets
L Käll, JD Canterbury, J Weston, WS Noble, MJ MacCoss
Nature methods 4 (11), 923-925, 2007
24812007
Advantages of combined transmembrane topology and signal peptide prediction—the Phobius web server
L Käll, A Krogh, ELL Sonnhammer
Nucleic acids research 35 (suppl_2), W429-W432, 2007
18042007
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides
KD Tsirigos, C Peters, N Shu, L Käll, A Elofsson
Nucleic acids research 43 (W1), W401-W407, 2015
9382015
Assigning significance to peptides identified by tandem mass spectrometry using decoy databases
L Käll, JD Storey, MJ MacCoss, WS Noble
Journal of proteome research 7 (01), 29-34, 2008
7832008
Gene‐specific correlation of RNA and protein levels in human cells and tissues
F Edfors, F Danielsson, BM Hallström, L Käll, E Lundberg, F Pontén, ...
Molecular systems biology 12 (10), 883, 2016
5402016
An HMM posterior decoder for sequence feature prediction that includes homology in formation. Bioinformatics, 21 (1): i251-i257
L Käll
Bioinformatics 21 (1), i251-i257, 2005
3862005
Posterior error probabilities and false discovery rates: two sides of the same coin
L Käll, JD Storey, MJ MacCoss, WS Noble
Journal of proteome research 7 (01), 40-44, 2008
3772008
Fast and accurate protein false discovery rates on large-scale proteomics data sets with Percolator 3.0
M The, MJ MacCoss, WS Noble, L Käll
J. Am. Soc. Mass Spectrom 27 (11), 1719, 2016
3202016
Improvements to the percolator algorithm for peptide identification from shotgun proteomics data sets
M Spivak, J Weston, L Bottou, L Kall, WS Noble
Journal of proteome research 8 (7), 3737-3745, 2009
3122009
Transmembrane topology and signal peptide prediction using dynamic bayesian networks
SM Reynolds, L Käll, ME Riffle, JA Bilmes, WS Noble
PLoS computational biology 4 (11), e1000213, 2008
3042008
HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics
RMM Branca, LM Orre, HJ Johansson, V Granholm, M Huss, ...
Nature methods 11 (1), 59-62, 2014
2962014
Membrane topology of the Drosophila OR83b odorant receptor
C Lundin, L Käll, SA Kreher, K Kapp, EL Sonnhammer, JR Carlson, ...
FEBS letters 581 (29), 5601-5604, 2007
2602007
Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry
L Käll, JD Storey, WS Noble
Bioinformatics 24 (16), i42-i48, 2008
2512008
Rapid and accurate peptide identification from tandem mass spectra
CY Park, AA Klammer, L Kall, MJ MacCoss, WS Noble
Journal of proteome research 7 (7), 3022-3027, 2008
2452008
A general model of G protein‐coupled receptor sequences and its application to detect remote homologs
M Wistrand, L Käll, ELL Sonnhammer
Protein science 15 (3), 509-521, 2006
2202006
Automated model building and protein identification in cryo-EM maps
K Jamali, L Käll, R Zhang, A Brown, D Kimanius, SHW Scheres
Nature 628 (8007), 450-457, 2024
2122024
Peptide-centric proteome analysis: an alternative strategy for the analysis of tandem mass spectrometry data
YS Ting, JD Egertson, SH Payne, S Kim, B MacLean, L Käll, R Aebersold, ...
Molecular & Cellular Proteomics 14 (9), 2301-2307, 2015
1952015
Multi-omic data analysis using Galaxy
J Boekel, JM Chilton, IR Cooke, PL Horvatovich, PD Jagtap, L Käll, ...
Nature biotechnology 33 (2), 137-139, 2015
1692015
Crux: rapid open source protein tandem mass spectrometry analysis
S McIlwain, K Tamura, A Kertesz-Farkas, CE Grant, B Diament, B Frewen, ...
Journal of proteome research 13 (10), 4488-4491, 2014
1622014
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Články 1–20