Výsledky vyhledávání - "Samatova Nagiza F"

Akademický článek

In-silico identification of phenotype-biased functional modules

Autor: Padmanabhan Kanchana, Wilson Kevin, Rocha Andrea M, Wang Kuangyu, Mihelcic James R, Samatova Nagiza F

Publikováno v: Proteome Science, Vol 10, Iss Suppl 1, p S2 (2012)

Abstract Background Phenotypes exhibited by microorganisms can be useful for several purposes, e.g., ethanol as an alternate fuel. Sometimes, the target phenotype maybe required in combination with other phenotypes, in order to be useful, for e.g., a

Externí odkaz: https://doaj.org/article/a012ad423f974b46a82ee72cf240118f

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Akademický článek

Efficient α, β-motif finder for identification of phenotype-related functional modules

Autor: Schmidt Matthew C, Rocha Andrea M, Padmanabhan Kanchana, Chen Zhengzhang, Scott Kathleen, Mihelcic James R, Samatova Nagiza F

Publikováno v: BMC Bioinformatics, Vol 12, Iss 1, p 440 (2011)

Abstract Background Microbial communities in their natural environments exhibit phenotypes that can directly cause particular diseases, convert biomass or wastewater to energy, or degrade various environmental contaminants. Understanding how these co

Externí odkaz: https://doaj.org/article/3b2d323270704ca09c88d34f5091a4d1

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Akademický článek

A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry

Autor: Banfield Jillian F, Carey Patricia A, McDonald William H, Park Byung H, Pan Chongle, VerBerkmoes Nathan C, Hettich Robert L, Samatova Nagiza F

Publikováno v: BMC Bioinformatics, Vol 11, Iss 1, p 118 (2010)

Abstract Background High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo

Externí odkaz: https://doaj.org/article/2995ec279dec4a10a76428a0fd0a9a70

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