Lukas Käll
Lukas Käll
Professor, KTH Royal Institute of Technology, Science for Life Laboratory
Verifierad e-postadress på kth.se - Startsida
TitelCiteras avÅr
A combined transmembrane topology and signal peptide prediction method
L Käll, A Krogh, ELL Sonnhammer
Journal of molecular biology 338 (5), 1027-1036, 2004
16732004
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, 2007
10302007
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
8432007
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, 2007
5112007
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
2612015
An HMM posterior decoder for sequence feature prediction that includes homology information
L Käll, A Krogh, ELL Sonnhammer
Bioinformatics 21 (suppl_1), i251-i257, 2005
2602005
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, 2007
2182007
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
1902007
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
1852008
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
1732006
Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets
M Spivak, J Weston, L Bottou, L Käll, WS Noble
Journal of proteome research 8 (7), 3737-3745, 2009
1642009
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, 2014
1572014
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
1522008
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
1242016
Use of shotgun proteomics for the identification, confirmation, and correction of C. elegans gene annotations
GE Merrihew, C Davis, B Ewing, G Williams, L Käll, BE Frewen, WS Noble, ...
Genome research 18 (10), 1660-1669, 2008
952008
qvality: non-parametric estimation of q-values and posterior error probabilities
L Käll, JD Storey, WS Noble
Bioinformatics 25 (7), 964-966, 2009
842009
Reliability of transmembrane predictions in whole‐genome data
L Käll, ELL Sonnhammer
FEBS letters 532 (3), 415-418, 2002
802002
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
792008
A novel transmembrane topology of presenilin based on reconciling experimental and computational evidence
A Henricson, L Käll, ELL Sonnhammer
The FEBS journal 272 (11), 2727-2733, 2005
672005
Multi-omic data analysis using Galaxy
J Boekel, JM Chilton, IR Cooke, PL Horvatovich, PD Jagtap, L Käll, ...
Nature biotechnology 33 (2), 137, 2015
632015
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Artiklar 1–20