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1
pyseer: a comprehensive tool for microbial pangenome-wide association studies
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pyseer: a comprehensive tool for microbial pangenome-wide association studies

Lees, John A ; Galardini, Marco ; Bentley, Stephen D ; Weiser, Jeffrey N ; Corander, Jukka Stegle, Oliver

Bioinformatics, 2018-12, Vol.34 (24), p.4310-4312 [Periódico revisado por pares]

England: Oxford University Press

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2
Good enough practices in scientific computing
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Good enough practices in scientific computing

Wilson, Greg ; Bryan, Jennifer ; Cranston, Karen ; Kitzes, Justin ; Nederbragt, Lex ; Teal, Tracy K Ouellette, Francis

PLoS computational biology, 2017-06, Vol.13 (6), p.e1005510-e1005510 [Periódico revisado por pares]

United States: Public Library of Science

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3
RICOPILI: Rapid Imputation for COnsortias PIpeLIne
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RICOPILI: Rapid Imputation for COnsortias PIpeLIne

Lam, Max ; Awasthi, Swapnil ; Watson, Hunna J ; Goldstein, Jackie ; Panagiotaropoulou, Georgia ; Trubetskoy, Vassily ; Karlsson, Robert ; Frei, Oleksander ; Fan, Chun-Chieh ; De Witte, Ward ; Mota, Nina R ; Mullins, Niamh ; Brügger, Kim ; Lee, S Hong ; Wray, Naomi R ; Skarabis, Nora ; Huang, Hailiang ; Neale, Benjamin ; Daly, Mark J ; Mattheisen, Manuel ; Walters, Raymond ; Ripke, Stephan Schwartz, Russell

Bioinformatics, 2020-02, Vol.36 (3), p.930-933 [Periódico revisado por pares]

England: Oxford University Press

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4
Evaluating β-amyloidosis progression in Alzheimer’s disease with Mueller polarimetry
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Evaluating β-amyloidosis progression in Alzheimer’s disease with Mueller polarimetry

Borovkova, Mariia ; Bykov, Alexander ; Popov, Alexey ; Pierangelo, Angelo ; Novikova, Tatiana ; Pahnke, Jens ; Meglinski, Igor

Biomedical optics express, 2020-08, Vol.11 (8), p.4509-4519 [Periódico revisado por pares]

Optical Society of America - OSA Publishing

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5
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking
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immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking

Weber, Cédric R ; Akbar, Rahmad ; Yermanos, Alexander ; Pavlović, Milena ; Snapkov, Igor ; Sandve, Geir K ; Reddy, Sai T ; Greiff, Victor Schwartz, Russell

Bioinformatics, 2020-06, Vol.36 (11), p.3594-3596 [Periódico revisado por pares]

England: Oxford University Press

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6
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
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Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery

Wilman, Wiktoria ; Wróbel, Sonia ; Bielska, Weronika ; Deszynski, Piotr ; Dudzic, Paweł ; Jaszczyszyn, Igor ; Kaniewski, Jędrzej ; Młokosiewicz, Jakub ; Rouyan, Anahita ; Satława, Tadeusz ; Kumar, Sandeep ; Greiff, Victor ; Krawczyk, Konrad

Briefings in bioinformatics, 2022-07, Vol.23 (4) [Periódico revisado por pares]

Oxford: Oxford University Press

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7
Swarm v3: towards tera-scale amplicon clustering
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Swarm v3: towards tera-scale amplicon clustering

Mahé, Frédéric ; Czech, Lucas ; Stamatakis, Alexandros ; Quince, Christopher ; de Vargas, Colomban ; Dunthorn, Micah ; Rognes, Torbjørn Birol, Inanc

Bioinformatics, 2022-01, Vol.38 (1), p.267-269 [Periódico revisado por pares]

England: Oxford University Press

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8
Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking
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Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking

Sandve, Geir Kjetil ; Greiff, Victor Valencia, Alfonso

Bioinformatics (Oxford, England), 2022-10, Vol.38 (21), p.4994-4996 [Periódico revisado por pares]

Oxford University Press

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9
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
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Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits

Dai, Kael ; Gratiy, Sergey L ; Billeh, Yazan N ; Xu, Richard ; Cai, Binghuang ; Cain, Nicholas ; Rimehaug, Atle E ; Stasik, Alexander J ; Einevoll, Gaute T ; Mihalas, Stefan ; Koch, Christof ; Arkhipov, Anton Marinazzo, Daniele

PLoS computational biology, 2020-11, Vol.16 (11), p.e1008386-e1008386 [Periódico revisado por pares]

United States: Public Library of Science

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10
Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas
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Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

van IJzendoorn, David G P ; Szuhai, Karoly ; Briaire-de Bruijn, Inge H ; Kostine, Marie ; Kuijjer, Marieke L ; Bovée, Judith V M G Ioshikhes, Ilya

PLoS computational biology, 2019-02, Vol.15 (2), p.e1006826-e1006826 [Periódico revisado por pares]

United States: Public Library of Science

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