Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Bridges Susan M"'
Autor:
Lo, Sergio C.T., Bridges, Susan M., Chian, Monaliza M., Yip, Valerie W.Y., Leung, Jessica S.C., Wong, Gary K.W., Not, Christelle, Williams, Gray A., Chan, Kennedy K.H., Russell, Bayden D., Goodwin, A. Lin
Publikováno v:
In Learning, Culture and Social Interaction August 2024 47
Autor:
Jankun-Kelly TJ, Bridges Susan M, Freeman McKinley G, Manda Prashanti, Nanduri Bindu, McCarthy Fiona M, Burgess Shane C
Publikováno v:
BMC Bioinformatics, Vol 11, Iss Suppl 6, p S29 (2010)
Abstract Background Functional genomics technologies that measure genome expression at a global scale are accelerating biological knowledge discovery. Generating these high throughput datasets is relatively easy compared to the downstream functional
Externí odkaz:
https://doaj.org/article/c4e7ada478954494b955f0fa892f36f2
Autor:
Pechan Tibor, Peethambaran Bela, Pechanova Olga, Hawkins Leigh K, Warburton Marilyn L, Bridges Susan M, Harper Jonathan, Gresham Cathy, Kelley Rowena Y, Luthe Dawn S, Mylroie J E, Ankala Arunkanth, Ozkan Seval, Henry W B, Williams W P
Publikováno v:
BMC Bioinformatics, Vol 11, Iss Suppl 6, p S25 (2010)
Abstract Background Aspergillus flavus Link:Fr, an opportunistic fungus that produces aflatoxin, is pathogenic to maize and other oilseed crops. Aflatoxin is a potent carcinogen, and its presence markedly reduces the value of grain. Understanding and
Externí odkaz:
https://doaj.org/article/78b51d1674d64a9aab6e70382eae8ac0
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 11, p S9 (2009)
Abstract The widespread availability of microarray technology has driven functional genomics to the forefront as scientists seek to draw meaningful biological conclusions from their microarray results. Gene annotation enrichment analysis is a functio
Externí odkaz:
https://doaj.org/article/b584add04bc444cbaa61acbadc9ac876
Publikováno v:
BMC Bioinformatics, Vol 8, Iss Suppl 7, p S23 (2007)
Abstract Background When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides associated with each protein will be observed. The ability to pr
Externí odkaz:
https://doaj.org/article/cf33e4e722ac47fbba61c1ba5c62c06f
Publikováno v:
BMC Bioinformatics, Vol 8, Iss Suppl 7, p S24 (2007)
Abstract Background Effective and economical methods for quantitative analysis of high throughput mass spectrometry data are essential to meet the goals of directly identifying, characterizing, and quantifying proteins from a particular cell state. M
Externí odkaz:
https://doaj.org/article/7579a81482c7431b8d68b7739ec2cf6a
Autor:
Dandass Yoginder S, Malone Brandon M, Bridges Susan M, Wang Nan, Sanders William S, McCarthy Fiona M, Nanduri Bindu, Lawrence Mark L, Burgess Shane C
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 115 (2011)
Abstract Background High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the high speed of experimental data generation and to aid in struc
Externí odkaz:
https://doaj.org/article/5aa6288411774adb9de902fd3d06a1a8
Publikováno v:
BMC Genomics, Vol 11, Iss 1, p 511 (2010)
Abstract Background Oligotropha carboxidovorans OM5 T. (DSM 1227, ATCC 49405) is a chemolithoautotrophic bacterium capable of utilizing CO (carbon monoxide) and fixing CO2 (carbon dioxide). We previously published the draft genome of this organism an
Externí odkaz:
https://doaj.org/article/e4f105f1de17442abc53434dadbbe1ff
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 197 (2008)
Abstract Background This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomics. The process of matching peptide sequences against a genome t
Externí odkaz:
https://doaj.org/article/9ddb861afa1447d5bc2cfeece74e5896