Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jon Lees"'
Autor:
María Rodríguez-López, Nicola Bordin, Jon Lees, Harry Scholes, Shaimaa Hassan, Quentin Saintain, Stephan Kamrad, Christine Orengo, Jürg Bähler
Publikováno v:
eLife, Vol 12 (2023)
Many proteins remain poorly characterized even in well-studied organisms, presenting a bottleneck for research. We applied phenomics and machine-learning approaches with Schizosaccharomyces pombe for broad cues on protein functions. We assayed colony
Externí odkaz:
https://doaj.org/article/1e2e0ac5bcd64e5a95d52821d8b5c76a
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0134668 (2015)
With the growing availability of large-scale biological datasets, automated methods of extracting functionally meaningful information from this data are becoming increasingly important. Data relating to functional association between genes or protein
Externí odkaz:
https://doaj.org/article/d54f6918fbcf4262b9bcdf5f08b1a384
Autor:
Ann Shreeve, Tom Elkins, Dominic Boddington, Kristina Clarke, Brigitte Bernard, Lesley Dean, David Miller, Kim Brown, Jerry Oakley, David Shiret, Jon Lees, Sue Kemp
Publikováno v:
Pedagogy, Culture & Society. 10:239-256
Creating optimum conditions in classrooms for students, particularly those who are disaffected, to learn effectively and achieve their potential is a prime aim of schools and part of the rationale ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e461e1f3c82393ad68dc2767d9752f5
https://doi.org/10.1080/14681360200200142
https://doi.org/10.1080/14681360200200142