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🐜
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The Genome of Black Cottonwood, Populus trichocarpa (Torr. & Gray)
110 auth.
G. Tuskan,
S. DiFazio,
S. Jansson,
J. Bohlmann,
I. Grigoriev,
U. Hellsten,
N. Putnam,
S. Ralph,
S. Rombauts,
A. Salamov,
J. Schein,
L. Sterck,
A. Aerts,
R. Bhalerao,
R. Bhalerao,
...
D. Blaudez,
W. Boerjan,
A. Brun,
A. Brunner,
V. Busov,
M. Campbell,
J. Carlson,
M. Chalot,
J. Chapman,
G.-L. Chen,
D. Cooper,
P. Coutinho,
J. Couturier,
S. Covert,
Q. Cronk,
R. Cunningham,
J. Davis,
S. Degroeve,
A. Déjardin,
C. dePamphilis,
J. Detter,
B. Dirks,
I. Dubchak,
S. Duplessis,
J. Ehlting,
B. Ellis,
K. Gendler,
D. Goodstein,
M. Gribskov,
J. Grimwood,
A. Groover,
L. Gunter,
B. Hamberger,
B. Heinze,
Y. Helariutta,
B. Henrissat,
D. Holligan,
R. Holt,
W. Huang,
N. Islam-Faridi,
S. Jones,
M. Jones-Rhoades,
R. Jørgensen,
C. Joshi,
J. Kangasjärvi,
J. Karlsson,
C. Kelleher,
R. Kirkpatrick,
M. Kirst,
A. Kohler,
U. Kalluri,
F. Larimer,
J. Leebens-Mack,
J. Leplé,
P. LoCascio,
Y. Lou,
S. Lucas,
F. Martin,
B. Montanini,
C. Napoli,
D. R. Nelson,
C. Nelson,
K. Nieminen,
O. Nilsson,
V. Pereda,
G. Peter,
R. Philippe,
G. Pilate,
A. Poliakov,
J. Razumovskaya,
P. Richardson,
C. Rinaldi,
K. Ritland,
P. Rouzé,
D. Ryaboy,
J. Schmutz,
J. Schrader,
B. Segerman,
H. Shin,
A. Siddiqui,
F. Sterky,
A. Terry,
C. Tsai,
E. Uberbacher,
P. Unneberg,
J. Vahala,
K. Wall,
S. Wessler,
G. Yang,
T. Yin,
C. Douglas,
M. Marra,
G. Sandberg,
Y. Van de Peer,
D. Rokhsar
|
12 |
2006 |
12
🐜
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🐜
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Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features.
26 auth.
É. Derelle,
C. Ferraz,
S. Rombauts,
P. Rouzé,
A. Worden,
Steven Robbens,
F. Partensky,
S. Degroeve,
Sophie Echeynié,
R. Cooke,
Y. Saeys,
J. Wuyts,
K. Jabbari,
C. Bowler,
O. Panaud,
...
B. Piégu,
S. Ball,
J. Ral,
F. Bouget,
G. Piganeau,
B. De Baets,
A. Picard,
M. Delseny,
J. Demaille,
Y. Van de Peer,
H. Moreau
|
9 |
2006 |
9
🐜
|
|
🐜
|
Random forests as a tool for ecohydrological distribution modelling
7 auth.
J. Peters,
B. Baets,
N. Verhoest,
R. Samson,
S. Degroeve,
P. Becker,
...
W. Huybrechts
|
8 |
2007 |
8
🐜
|
|
🐬
|
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Yvan Saeys,
S. Degroeve,
D. Aeyels,
P. Rouzé,
Y. Peer
|
8 |
2004 |
8
🐬
|
|
🐢
|
DeepLC can predict retention times for peptides that carry as-yet unseen modifications
R. Bouwmeester,
R. Gabriels,
Niels Hulstaert,
L. Martens,
S. Degroeve
|
7 |
2020 |
7
🐢
|
|
🦁
|
MS2PIP: a tool for MS/MS peak intensity prediction
S. Degroeve,
L. Martens
|
7 |
2013 |
7
🦁
|
|
🦁
|
SpliceMachine: predicting splice sites from high-dimensional local context representations
S. Degroeve,
Y. Saeys,
B. Baets,
P. Rouzé,
Y. Peer
|
6 |
2005 |
6
🦁
|
|
🦁
|
Feature subset selection for splice site prediction
S. Degroeve,
B. Baets,
Y. Peer,
P. Rouzé
|
6 |
2002 |
6
🦁
|
|
🐬
|
Large-scale structural analysis of the core promoter in mammalian and plant genomes
Kobe Florquin,
Y. Saeys,
S. Degroeve,
P. Rouzé,
Y. Van de Peer
|
6 |
2005 |
6
🐬
|
|
🐢
|
Comprehensive and Empirical Evaluation of Machine Learning Algorithms for Small Molecule LC Retention Time Prediction.
R. Bouwmeester,
L. Martens,
S. Degroeve
|
6 |
2019 |
6
🐢
|
|
🐢
|
Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques
R. Gabriels,
L. Martens,
S. Degroeve
|
6 |
2019 |
6
🐢
|
|
🐬
|
Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction
Y. Saeys,
S. Degroeve,
D. Aeyels,
Y. Peer,
P. Rouzé
|
6 |
2003 |
6
🐬
|
