Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Zanini, Fabio"'
Autor:
Hemberg, Martin, Marini, Federico, Ghazanfar, Shila, Ajami, Ahmad Al, Abassi, Najla, Anchang, Benedict, Benayoun, Bérénice A., Cao, Yue, Chen, Ken, Cuesta-Astroz, Yesid, DeBruine, Zach, Dendrou, Calliope A., De Vlaminck, Iwijn, Imkeller, Katharina, Korsunsky, Ilya, Lederer, Alex R., Meysman, Pieter, Miller, Clint, Mullan, Kerry, Ohler, Uwe, Patikas, Nikolaos, Schuck, Jonas, Siu, Jacqueline HY, Triche Jr., Timothy J., Tsankov, Alex, van der Laan, Sander W., Yajima, Masanao, Yang, Jean, Zanini, Fabio, Jelic, Ivana
The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and
Externí odkaz:
http://arxiv.org/abs/2408.06563
Autor:
Antonov, Michael, Csárdi, Gábor, Horvát, Szabolcs, Müller, Kirill, Nepusz, Tamás, Noom, Daniel, Salmon, Maëlle, Traag, Vincent, Welles, Brooke Foucault, Zanini, Fabio
Networks or graphs are widely used across the sciences to represent relationships of many kinds. igraph (https://igraph.org) is a general-purpose software library for graph construction, analysis, and visualisation, combining fast and robust performa
Externí odkaz:
http://arxiv.org/abs/2311.10260
Autor:
Horvát, Szabolcs, Podkalicki, Jakub, Csárdi, Gábor, Nepusz, Tamás, Traag, Vincent, Zanini, Fabio, Noom, Daniel
IGraph/M is an efficient general purpose graph theory and network analysis package for Mathematica. IGraph/M serves as the Wolfram Language interfaces to the igraph C library, and also provides several unique pieces of functionality not yet present i
Externí odkaz:
http://arxiv.org/abs/2209.09145
Monoclonal antibodies against SARS-CoV-2 to prevent COVID-19 worsening in a large multicenter cohort
Autor:
Soria, Alessandro, Graziano, Francesca, Ghilardi, Giulia, Lapadula, Giuseppe, Gasperina, Daniela Dalla, Benatti, Simone Vasilij, Quiros-Roldan, Eugenia, Milesi, Maurizio, Bai, Francesca, Merli, Marco, Minisci, Davide, Franzetti, Marco, Asperges, Erika, Chiabrando, Filippo, Pocaterra, Daria, Pandolfo, Alessandro, Zanini, Fabio, Lombardi, Domenico, Cappelletti, Anna, Rugova, Alban, Borghesi, Maria Lucia, Squillace, Nicola, Pusterla, Luigi, Piconi, Stefania, Morelli, Paola, Querini, Patrizia Rovere, Bruno, Raffaele, Rusconi, Stefano, Casari, Salvatore, Bandera, Alessandra, Franzetti, Fabio, Travi, Giovanna, D'Arminio Monforte, Antonella, Marchetti, Giulia, Pan, Angelo, Castelli, Francesco, Rizzi, Marco, Dentali, Francesco, Mallardo, Maria, Rossi, Emanuela, Valsecchi, Maria Grazia, Galimberti, Stefania, Bonfanti, Paolo
Publikováno v:
In Heliyon 30 August 2024 10(16)
Summary: HTSeq 2.0 provides a more extensive API including a new representation for sparse genomic data, enhancements in htseq-count to suit single cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing a
Externí odkaz:
http://arxiv.org/abs/2112.00939
Autor:
Zanini, Fabio1,2,3 (AUTHOR) fabio.zanini@unsw.edu.au, Che, Xibing4,5 (AUTHOR), Suresh, Nina E.4,5 (AUTHOR), Knutsen, Carsten4,6 (AUTHOR), Klavina, Paula7 (AUTHOR), Xie, Yike1 (AUTHOR), Domingo-Gonzalez, Racquel4,6 (AUTHOR), Liu, Min4,6 (AUTHOR), Kum, Alexander4,6 (AUTHOR), Jones, Robert C.8 (AUTHOR), Quake, Stephen R.8,9,10 (AUTHOR), Alvira, Cristina M.4,6 (AUTHOR), Cornfield, David N.4,5,9 (AUTHOR) davidco@stanford.edu
Publikováno v:
Scientific Reports. 1/23/2024, Vol. 14 Issue 1, p1-16. 16p.
Autor:
Zanini, Fabio, Che, Xibing, Knutsen, Carsten, Liu, Min, Suresh, Nina E., Domingo-Gonzalez, Racquel, Dou, Steve H., Zhang, Daoqin, Pryhuber, Gloria S., Jones, Robert C., Quake, Stephen R., Cornfield, David N., Alvira, Cristina M.
Publikováno v:
In iScience 17 March 2023 26(3)
Autor:
Nunes, Fabiana A., Zanini, Fábio, Braga, Camilla de S., da Silva, Andreza L., Fernandes, Fátima R., Solé, Dirceu, Wandalsen, Gustavo F.
Publikováno v:
In World Allergy Organization Journal September 2022 15(9)
Autor:
Brodin, Johanna, Zanini, Fabio, Thebo, Lina, Lanz, Christa, Bratt, Göran, Neher, Richard A., Albert, Jan
HIV-1 infection currently cannot be cured because the virus persists as integrated proviral DNA in long-lived cells despite years of suppressive antiretroviral therapy (ART). To characterize establishment, turnover, and evolution of viral DNA reservo
Externí odkaz:
http://arxiv.org/abs/1605.05367
Mutation rates and fitness costs of deleterious mutations are difficult to measure in vivo but essential for a quantitative understanding of evolution. Using whole genome deep sequencing data from longitudinal samples during untreated HIV-1 infection
Externí odkaz:
http://arxiv.org/abs/1603.06634