Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Di Tommaso, Paolo"'
Autor:
da Silva, Rafael Ferreira, Badia, Rosa M., Bala, Venkat, Bard, Debbie, Bremer, Peer-Timo, Buckley, Ian, Caino-Lores, Silvina, Chard, Kyle, Goble, Carole, Jha, Shantenu, Katz, Daniel S., Laney, Daniel, Parashar, Manish, Suter, Frederic, Tyler, Nick, Uram, Thomas, Altintas, Ilkay, Andersson, Stefan, Arndt, William, Aznar, Juan, Bader, Jonathan, Balis, Bartosz, Blanton, Chris, Braghetto, Kelly Rosa, Brodutch, Aharon, Brunk, Paul, Casanova, Henri, Lierta, Alba Cervera, Chigu, Justin, Coleman, Taina, Collier, Nick, Colonnelli, Iacopo, Coppens, Frederik, Crusoe, Michael, Cunningham, Will, Kinoshita, Bruno de Paula, Di Tommaso, Paolo, Doutriaux, Charles, Downton, Matthew, Elwasif, Wael, Enders, Bjoern, Erdmann, Chris, Fahringer, Thomas, Figueiredo, Ludmilla, Filgueira, Rosa, Foltin, Martin, Fouilloux, Anne, Gadelha, Luiz, Gallo, Andy, Saez, Artur Garcia, Garijo, Daniel, Gerlach, Roman, Grant, Ryan, Grayson, Samuel, Grubel, Patricia, Gustafsson, Johan, Hayot-Sasson, Valerie, Hernandez, Oscar, Hilbrich, Marcus, Justine, AnnMary, Laflotte, Ian, Lehmann, Fabian, Luckow, Andre, Luettgau, Jakob, Maheshwari, Ketan, Matsuda, Motohiko, Medic, Doriana, Mendygral, Pete, Michalewicz, Marek, Nonaka, Jorji, Pawlik, Maciej, Pottier, Loic, Pouchard, Line, Putz, Mathias, Radha, Santosh Kumar, Ramakrishnan, Lavanya, Ristov, Sashko, Romano, Paul, Rosendo, Daniel, Ruefenacht, Martin, Rycerz, Katarzyna, Saurabh, Nishant, Savchenko, Volodymyr, Schulz, Martin, Simpson, Christine, Sirvent, Raul, Skluzacek, Tyler, Soiland-Reyes, Stian, Souza, Renan, Sukumar, Sreenivas Rangan, Sun, Ziheng, Sussman, Alan, Thain, Douglas, Titov, Mikhail, Tovar, Benjamin, Tripathy, Aalap, Turilli, Matteo, Tuznik, Bartosz, van Dam, Hubertus, Vivas, Aurelio, Ward, Logan, Widener, Patrick, Wilkinson, Sean, Zawalska, Justyna, Zulfiqar, Mahnoor
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a cloud-based data
Externí odkaz:
http://arxiv.org/abs/2304.00019
Autor:
da Silva, Rafael Ferreira, Casanova, Henri, Chard, Kyle, Laney, Dan, Ahn, Dong, Jha, Shantenu, Goble, Carole, Ramakrishnan, Lavanya, Peterson, Luc, Enders, Bjoern, Thain, Douglas, Altintas, Ilkay, Babuji, Yadu, Badia, Rosa M., Bonazzi, Vivien, Coleman, Taina, Crusoe, Michael, Deelman, Ewa, Di Natale, Frank, Di Tommaso, Paolo, Fahringer, Thomas, Filgueira, Rosa, Fursin, Grigori, Ganose, Alex, Gruning, Bjorn, Katz, Daniel S., Kuchar, Olga, Kupresanin, Ana, Ludascher, Bertram, Maheshwari, Ketan, Mattoso, Marta, Mehta, Kshitij, Munson, Todd, Ozik, Jonathan, Peterka, Tom, Pottier, Loic, Randles, Tim, Soiland-Reyes, Stian, Tovar, Benjamin, Turilli, Matteo, Uram, Thomas, Vahi, Karan, Wilde, Michael, Wolf, Matthew, Wozniak, Justin
Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of these workflows have high computational, storage, and/or communicatio
Externí odkaz:
http://arxiv.org/abs/2103.09181
Publikováno v:
Systematic Biology, 2018 Nov 01. 67(6), 997-1009.
Externí odkaz:
https://www.jstor.org/stable/26582223
Autor:
Ferreira da Silva, Rafael, Casanova, Henri, Chard, Kyle, Laney, Dan, Ahn, Dong, Jha, Shantenu, Goble, Carole, Ramakrishnan, Lavanya, Peterson, Luc, Enders, Bjoern, Thain, Douglas, Altintas, Ilkay, Babuji, Yadu, Badia, Rosa, Bonazzi, Vivien, Coleman, Taina, Crusoe, Michael, Deelman, Ewa, Di Natale, Frank, Di Tommaso, Paolo, Fahringer, Thomas, Filgueira, Rosa, Fursin, Grigori, Ganose, Alex, Gruning, Bjorn, Katz, Daniel S., Kuchar, Olga, Kupresanin, Ana, Ludascher, Bertram, Maheshwari, Ketan, Mattoso, Marta, Mehta, Kshitij, Munson, Todd, Ozik, Jonathan, Peterka, Tom, Pottier, Loic, Randles, Tim, Soiland-Reyes, Stian, Tovar, Benjamin, Turilli, Matteo, Uram, Thomas, Vahi, Karan, Wilde, Michael, Wolf, Matthew, Wozniak, Justin
Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of these workflows have high computational, storage, and/or communicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5a842a3ea5db89906a26b9af304460
Akademický článek
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Autor:
Garriga, Edgar, Di Tommaso, Paolo, Magis, Cedrik, Erb, Ionas, Mansouri, Leila, Baltzis, Athanasios, Floden, Evan, 1985, Notredame, Cedric
Many fields of biology rely on the inference of accurate multiple sequence alignments (MSA) of biological sequences. Unfortunately, the problem of assembling an MSA is NP-complete thus limiting computation to approximate solutions using heuristics so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1610::dc21d1fa85dd53c8f45d2c204ba0920d
http://hdl.handle.net/10230/46777
http://hdl.handle.net/10230/46777
Autor:
Floden, Evan, Di Tommaso, Paolo
Nextflow is an open-source workflow management system that prioritizes portability and reproducibility. It enables users to develop and seamlessly scale genomics workflows locally, on HPC clusters, or in major cloud providers’ infrastructures. Deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ec7169b1031bc6ee07e41bae1b4ab8
Publikováno v:
BMC Bioinformatics, Vol 13, Iss Suppl 4, p S1 (2012)
Abstract Background Transmembrane proteins (TMPs) constitute about 20~30% of all protein coding genes. The relative lack of experimental structure has so far made it hard to develop specific alignment methods and the current state of the art (PRALINE
Externí odkaz:
https://doaj.org/article/8adc409df8e54c66a00bd63b0401b101
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Floden, Evan, Lloret-Villas, Audald, Di Tommaso, Paolo, Spjuth, Ola, Farcal, Lucian, Dudgeon, Tim, Jennen, Danyel
This report details the work involved in the federation of compute and data resources between the OpenRiskNet e-infrastructure and external resources. The reference environment has been designed to be capable of handling the majority of requirements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88b15b1f092d02e161f5dd300ece6814
https://doi.org/10.5281/zenodo.3256306
https://doi.org/10.5281/zenodo.3256306