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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update

Authors :
Ostrovsky, AE
Mahmoud, A
Lonie, AJ
Syme, A
Fouilloux, A
Bretaudeau, A
Nekrutenko, A
Kumar, A
Eschenlauer, AC
DeSanto, AD
Guerler, A
Serrano-Solano, B
Batut, B
Gruening, BA
Langhorst, BW
Carr, B
Raubenolt, BA
Hyde, CJ
Bromhead, CJ
Barnett, CB
Royaux, C
Gallardo, C
Blankenberg, D
Fornika, DJ
Baker, D
Bouvier, D
Clements, D
Morais, DADL
Tabernero, DL
Lariviere, D
Nasr, E
Afgan, E
Zambelli, F
Heyl, F
Psomopoulos, F
Coppens, F
Price, GR
Cuccuru, G
Le Corguille, G
Von Kuster, G
Akbulut, GG
Rasche, H
Hans-Rudolf, H
Eguinoa, I
Makunin, I
Ranawaka, IJ
Taylor, JP
Joshi, J
Hillman-Jackson, J
Goecks, J
Chilton, JM
Kamali, K
Suderman, K
Poterlowicz, K
Yvan, LB
Lopez-Delisle, L
Sargent, L
Bassetti, ME
Tangaro, MA
van den Beek, M
Cech, M
Bernt, M
Fahrner, M
Tekman, M
Foell, MC
Schatz, MC
Crusoe, MR
Roncoroni, M
Kucher, N
Coraor, N
Stoler, N
Rhodes, N
Soranzo, N
Pinter, N
Goonasekera, NA
Moreno, PA
Videm, P
Melanie, P
Mandreoli, P
Jagtap, PD
Gu, Q
Weber, RJM
Lazarus, R
Vorderman, RHP
Hiltemann, S
Golitsynskiy, S
Garg, S
Bray, SA
Gladman, SL
Leo, S
Mehta, SP
Griffin, TJ
Jalili, V
Yves, V
Wen, V
Nagampalli, VK
Bacon, WA
de Koning, W
Maier, W
Briggs, PJ
Ostrovsky, AE
Mahmoud, A
Lonie, AJ
Syme, A
Fouilloux, A
Bretaudeau, A
Nekrutenko, A
Kumar, A
Eschenlauer, AC
DeSanto, AD
Guerler, A
Serrano-Solano, B
Batut, B
Gruening, BA
Langhorst, BW
Carr, B
Raubenolt, BA
Hyde, CJ
Bromhead, CJ
Barnett, CB
Royaux, C
Gallardo, C
Blankenberg, D
Fornika, DJ
Baker, D
Bouvier, D
Clements, D
Morais, DADL
Tabernero, DL
Lariviere, D
Nasr, E
Afgan, E
Zambelli, F
Heyl, F
Psomopoulos, F
Coppens, F
Price, GR
Cuccuru, G
Le Corguille, G
Von Kuster, G
Akbulut, GG
Rasche, H
Hans-Rudolf, H
Eguinoa, I
Makunin, I
Ranawaka, IJ
Taylor, JP
Joshi, J
Hillman-Jackson, J
Goecks, J
Chilton, JM
Kamali, K
Suderman, K
Poterlowicz, K
Yvan, LB
Lopez-Delisle, L
Sargent, L
Bassetti, ME
Tangaro, MA
van den Beek, M
Cech, M
Bernt, M
Fahrner, M
Tekman, M
Foell, MC
Schatz, MC
Crusoe, MR
Roncoroni, M
Kucher, N
Coraor, N
Stoler, N
Rhodes, N
Soranzo, N
Pinter, N
Goonasekera, NA
Moreno, PA
Videm, P
Melanie, P
Mandreoli, P
Jagtap, PD
Gu, Q
Weber, RJM
Lazarus, R
Vorderman, RHP
Hiltemann, S
Golitsynskiy, S
Garg, S
Bray, SA
Gladman, SL
Leo, S
Mehta, SP
Griffin, TJ
Jalili, V
Yves, V
Wen, V
Nagampalli, VK
Bacon, WA
de Koning, W
Maier, W
Briggs, PJ
Publication Year :
2022

Abstract

Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues to use, maintain and contribute to the project, with support from multiple national infrastructure providers that enable freely accessible analysis and training services. The Galaxy Training Network supports free, self-directed, virtual training with >230 integrated tutorials. Project engagement metrics have continued to grow over the last 2 years, including source code contributions, publications, software packages wrapped as tools, registered users and their daily analysis jobs, and new independent specialized servers. Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1340013918
Document Type :
Electronic Resource