Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Brenton Louie"'
Autor:
Maria A. Lim, Brenton Louie, Daniel Ford, Kyle Heath, Paulyn Cha, Joe Betts-Lacroix, Pek Yee Lum, Timothy L. Robertson, Laura Schaevitz
Publikováno v:
Frontiers in Pharmacology, Vol 8 (2017)
Despite a broad spectrum of anti-arthritic drugs currently on the market, there is a constant demand to develop improved therapeutic agents. Efficient compound screening and rapid evaluation of treatment efficacy in animal models of rheumatoid arthri
Externí odkaz:
https://doaj.org/article/8f4f062f84cb4e1baaf343564936162f
Publikováno v:
PLoS ONE, Vol 4, Iss 10, p e7546 (2009)
BACKGROUND:Predicting protein function from primary sequence is an important open problem in modern biology. Not only are there many thousands of proteins of unknown function, current approaches for predicting function must be improved upon. One prob
Externí odkaz:
https://doaj.org/article/842c252b821b431480f1de3154eeb27d
Publikováno v:
Standards in Genomic Sciences
Quantitative or numerical metrics of protein function specificity made possible by the Gene Ontology are useful in that they enable development of distance or similarity measures between protein functions. Here we describe how to calculate four measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf164ae0f1200e1f6bffbf5dc39943b
https://doi.org/10.4056/sigs.561626
https://doi.org/10.4056/sigs.561626
Publikováno v:
OMICS: A Journal of Integrative Biology. 12:211-215
Proteins of unknown function are a barrier to our understanding of molecular biology. Assigning function to these “uncharacterized” proteins is imperative, but challenging. The usual approach is similarity searches using annotation databases, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f773a65792d441aa909d672de52668a8
https://doi.org/10.1089/omi.2008.0051
https://doi.org/10.1089/omi.2008.0051
Publikováno v:
Journal of Biomedical Informatics. 40:5-16
Genomic medicine aims to revolutionize health care by applying our growing understanding of the molecular basis of disease. Research in this arena is data intensive, which means data sets are large and highly heterogeneous. To create knowledge from d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf4136cf82e4db31c8cb2a59134bbf96
https://doi.org/10.1016/j.jbi.2006.02.007
https://doi.org/10.1016/j.jbi.2006.02.007
Publikováno v:
SSDBM
There is a significant need for data integration capabilities in the scientific domain, which has manifested itself as products in the commercial world as well as academia. However, in our experiences in dealing with biological data it has become app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ebb823c0897042d002764986f7947a2
https://doi.org/10.1109/ssdbm.2007.36
https://doi.org/10.1109/ssdbm.2007.36
Publikováno v:
Pacific Symposium on Biocomputing
Scopus-Elsevier
Scopus-Elsevier
Scientists working on genomics projects are often faced with the difficult task of sifting through large amounts of biological information dispersed across various online data sources that are relevant to their area or organism of research. Gene anno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b92bbe09e8066e3afd46455a73232b2
https://doi.org/10.1142/9789812772435_0033
https://doi.org/10.1142/9789812772435_0033
Publikováno v:
PLoS ONE
PLoS ONE, Vol 4, Iss 10, p e7546 (2009)
PLoS ONE, Vol 4, Iss 10, p e7546 (2009)
Background Predicting protein function from primary sequence is an important open problem in modern biology. Not only are there many thousands of proteins of unknown function, current approaches for predicting function must be improved upon. One prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5697637a0624c3d1d7db9af084105f12
https://doi.org/10.1371/journal.pone.0007546
https://doi.org/10.1371/journal.pone.0007546
Autor:
Hather, Gregory J., Haynes, Winston, Higdon, Roger, Kolker, Natali, Stewart, Elizabeth A., Arzberger, Peter, Chain, Patrick, Field, Dawn, Franza, B. Robert, Lin, Biaoyang, Meyer, Folker, Ozdemir, Vural, Smith, Charles V., van Belle, Gerald, Wooley, John, Kolker, Eugene
Publikováno v:
PLoS ONE. 2010, Vol. 5 Issue 8, p1-9. 9p. 3 Charts, 14 Graphs.
Autor:
Heinis, Thomas, Ailamaki, Anastasia
Publikováno v:
Foundations & Trends in Databases; 2017, Vol. 8 Issue 3, p225-238, 14p