Four simple recommendations to encourage best practices in research software [version 1; referees: 2 approved]

Autor: Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutierrez, Neil Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla Garcia, Josep Ll. Gelpí, Simon Gladman, Carole Goble, Montserrat González Ferreiro, Alejandra Gonzalez-Beltran, Philippa C. Griffin, Björn Grüning, Jonas Hagberg, Petr Holub, Rob Hooft, Jon Ison, Daniel S. Katz, Brane Leskošek, Federico López Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola Mulder, Yasset Perez-Riverol, Robert Pergl, Horst Pichler, Bernard Pope, Ferran Sanz, Maria V. Schneider, Victoria Stodden, Radosław Suchecki, Radka Svobodová Vařeková, Harry-Anton Talvik, Ilian Todorov, Andrew Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Steve Crouch

Publikováno v: F1000Research, Vol 6 (2017)

Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provi

Externí odkaz: https://doaj.org/article/ae593f223a074427850b1fb626642ba4

SweGen: A whole-genome map of genetic variability in a cross-section of the Swedish population

Autor: Daniel Nilsson, Adam Ameur, Pall I. Olason, Pär Lundin, Jonas Hagberg, Rose-Marie Karlsson, Åsa Johansson, Sverker Lundin, Björn Nystedt, Patrik K. E. Magnusson, Johan Dahlberg, Niclas Jareborg, Andreas Kähäri, Jessada Thutkawkorapin, Johan Viklund, Inger Jonasson, Francesco Vezzi, Huiwen Che, Ulf Gyllensten, Mats Dahlberg

Here we describe the SweGen dataset, a high-quality map of genetic variation in the Swedish population. This data represents a basic resource for clinical genetics laboratories as well as for sequencing-based association studies, by providing informa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3565baf910c2e5488d181e543ad650

Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data

Autor: Ola Spjuth, Martin Dahlö, Pall I Olason, Samuel Lampa, Jonas Hagberg

Publikováno v: GigaScience

Analyzing and storing data and results from next-generation sequencing (NGS) experiments is a challenging task, hampered by ever-increasing data volumes and frequent updates of analysis methods and tools. Storage and computation have grown beyond the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b1af79fb7ba1dbc30ea3e15fb5b328
https://doi.org/10.1186/2047-217x-2-9

Four simple recommendations to encourage best practices in research software

Autor: Andrew Treloar, Martin Cook, Mikael Borg, Petr Holub, Harry Anton Talvik, Rob Hooft, Leyla Garcia, Radoslaw Suchecki, Radka Svobodová Vařeková, Jonas Hagberg, Daniel S. Katz, Sonika Tyagi, Mateusz Kuzak, Daniel Vaughan, Josep Ll. Gelpi, Rowland Mosbergen, Neil Chue Hong, Rafael C. Jimenez, David Thomas Mellor, Michelle Barker, Yasset Perez-Riverol, Victoria Stodden, Horst Pichler, Philippa C. Griffin, Bérénice Batut, Manuel Corpas, Ilian T. Todorov, Xiaochuan Wang, Simon Gladman, Brane Leskošek, Monther Alhamdoosh, Allegra Via, Bernard J. Pope, Maarten van Gompel, Luis J. Oliveira, Robert Pergl, Ferran Sanz, Montserrat González Ferreiro, Alejandra Gonzalez-Beltran, Salvador Capella-Gutierrez, Nathan S. Watson-Haigh, Nicola Mulder, Jon Ison, Federico Gomez, Björn Grüning, Carole Goble, Steve Crouch, Maria Victoria Schneider, Madison Flannery

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
F1000Research
Jiménez, R C, Kuzak, M, Alhamdoosh, M, Barker, M, Batut, B, Borg, M, Capella-Gutierrez, S, Chue Hong, N, Cook, M, Corpas, M, Flannery, M, Garcia, L, Gelpi, J L, Gladman, S, Goble, C, González Ferreiro, M, Gonzalez-Beltran, A, Griffin, P C, Grüning, B, Hagberg, J, Holub, P, Hooft, R, Ison, J, Katz, D S, Leskošek, B, López Gómez, F, Oliveira, L J, Mellor, D, Mosbergen, R, Mulder, N, Perez-Riverol, Y, Pergl, R, Pichler, H, Pope, B, Sanz, F, Schneider, M V, Stodden, V, Suchecki, R, Svobodová Vařeková, R, Talvik, H A, Todorov, I, Treloar, A, Tyagi, S, van Gompel, M, Vaughan, D, Via, A, Wang, X, Watson-Haigh, N S & Crouch, S 2017, ' Four simple recommendations to encourage best practices in research software ' F1000Research, vol. 6, 876 . https://doi.org/10.12688/f1000research.11407.1
Dipòsit Digital de la UB
Universidad de Barcelona
Jiménez, R C, Kuzak, M, Alhamdoosh, M, Barker, M, Batut, B, Borg, M, Capella-Gutierrez, S, Chue Hong, N, Cook, M, Corpas, M, Flannery, M, Garcia, L, Gelpí, J L, Gladman, S, Goble, C, González Ferreiro, M, Gonzalez-Beltran, A, Griffin, P C, Grüning, B, Hagberg, J, Holub, P, Hooft, R, Ison, J, Katz, D S, Leskošek, B, López Gómez, F, Oliveira, L J, Mellor, D, Mosbergen, R, Mulder, N, Perez-Riverol, Y, Pergl, R, Pichler, H, Pope, B, Sanz, F, Schneider, M V, Stodden, V, Suchecki, R, Svobodová Vařeková, R, Talvik, H A, Todorov, I, Treloar, A, Tyagi, S, van Gompel, M, Vaughan, D, Via, A, Wang, X, Watson-Haigh, N S & Crouch, S 2017, ' Four simple recommendations to encourage best practices in research software ', F1000Research, vol. 6, 876 . https://doi.org/10.12688/f1000research.11407.1

Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa036373a4b5c08a5ef15567d37e434
http://hdl.handle.net/2445/112973