Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Teresa K Attwood"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 6, p e1011120 (2023)
Stand-alone life science training events and e-learning solutions are among the most sought-after modes of training because they address both point-of-need learning and the limited timeframes available for "upskilling." Yet, finding relevant life sci
Externí odkaz:
https://doaj.org/article/1474718152444f6ea86668a84121b6ee
Autor:
Leyla Garcia, Bérénice Batut, Melissa L Burke, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C Dimopoulos, Victoria Dominguez Del Angel, Michel Dumontier, Kim T Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W G van Gelder, Patricia M Palagi
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007854 (2020)
Everything we do today is becoming more and more reliant on the use of computers. The field of biology is no exception; but most biologists receive little or no formal preparation for the increasingly computational aspects of their discipline. In con
Externí odkaz:
https://doaj.org/article/076c5999d13d41318e459708c1a9096b
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 1, p e1006708 (2019)
Externí odkaz:
https://doaj.org/article/d0b99dadbf494b31a03c04f0034d39a0
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225256 (2019)
As the life sciences have become more data intensive, the pressure to incorporate the requisite training into life-science education and training programs has increased. To facilitate curriculum development, various sets of (bio)informatics competenc
Externí odkaz:
https://doaj.org/article/21b89cb105e740bfa26924f6f2fe1f78
Autor:
Sarah L Morgan, Patricia M Palagi, Pedro L Fernandes, Eija Koperlainen, Jure Dimec, Diana Marek, Lee Larcombe, Gabriella Rustici, Teresa K Attwood, Allegra Via
Publikováno v:
F1000Research, Vol 6 (2017)
One of the main goals of the ELIXIR-EXCELERATE project from the European Union’s Horizon 2020 programme is to support a pan-European training programme to increase bioinformatics capacity and competency across ELIXIR Nodes. To this end, a Train-the
Externí odkaz:
https://doaj.org/article/2da7650bd85746429a446e19d5530fd1
Autor:
Steve Pettifer, Jan Velterop, Teresa K Attwood, Lee Harland, James Marsh, David Thorne, Alec Tunbridge
Publikováno v:
Insights: The UKSG Journal, Vol 25, Iss 3, Pp 288-293 (2012)
Data and narrative are both important for scientific discourse. They are ‘united’ in the mind of the scientist-author, yet the current publishing process favours narrative at the expense of data, making it hard to recreate experiments, intuitivel
Externí odkaz:
https://doaj.org/article/f5c124d4f5e342a397d37d7197e96ef9
Autor:
Teresa K Attwood, Erik Bongcam-Rudloff, Michelle E Brazas, Manuel Corpas, Pascale Gaudet, Fran Lewitter, Nicola Mulder, Patricia M Palagi, Maria Victoria Schneider, Celia W G van Gelder, GOBLET Consortium
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 5, p e1004281 (2015)
Externí odkaz:
https://doaj.org/article/7a4ac12eaf144b3b8fc235237e7df270
Autor:
Teresa K Attwood, Erik Bongcam-Rudloff, Michelle E Brazas, Manuel Corpas, Pascale Gaudet, Fran Lewitter, Nicola Mulder, Patricia M Palagi, Maria Victoria Schneider, Celia W G van Gelder, GOBLET Consortium
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 4, p e1004143 (2015)
In recent years, high-throughput technologies have brought big data to the life sciences. The march of progress has been rapid, leaving in its wake a demand for courses in data analysis, data stewardship, computing fundamentals, etc., a need that uni
Externí odkaz:
https://doaj.org/article/d6c4e1a65574444aa511b4380fb39c76
Autor:
Jelena Aleksic, Adrian Alexa, Teresa K Attwood, Neil Chue Hong, Martin Dahlö, Robert Davey, Holger Dinkel, Konrad U Förstner, Ivo Grigorov, Jean-Karim Hériché, Leo Lahti, Dan MacLean, Michael L Markie, Jenny Molloy, Maria Victoria Schneider, Camille Scott, Richard Smith-Unna, Bruno Miguel Vieira, as part of the AllBio: Open Science & Reproducibility Best Practice Workshop
Publikováno v:
F1000Research, Vol 3 (2015)
One of the foundations of the scientific method is to be able to reproduce experiments and corroborate the results of research that has been done before. However, with the increasing complexities of new technologies and techniques, coupled with the s
Externí odkaz:
https://doaj.org/article/c894218a346748488ce3d48233090bd8
Autor:
Jelena Aleksic, Adrian Alexa, Teresa K Attwood, Neil Chue Hong, Martin Dahlö, Robert Davey, Holger Dinkel, Konrad U Förstner, Ivo Grigorov, Jean-Karim Hériché, Leo Lahti, Dan MacLean, Michael L Markie, Jenny Molloy, Maria Victoria Schneider, Camille Scott, Richard Smith-Unna, Bruno Miguel Vieira, as part of the AllBio: Open Science & Reproducibility Best Practice Workshop
Publikováno v:
F1000Research, Vol 3 (2014)
One of the foundations of the scientific method is to be able to reproduce experiments and corroborate the results of research that has been done before. However, with the increasing complexities of new technologies and techniques, coupled with the s
Externí odkaz:
https://doaj.org/article/e34774fd604f4f15af5f5a850e5c1598