Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ron Sapolsky"'
Autor:
Gopal K. Chotani, Walter Weyler, Brian S. Miller, Michael Hecker, Ron Sapolsky, Alfred L. Gaertner, Eugenio Ferrari, Haike Antelmann
Publikováno v:
PROTEOMICS. 4:2408-2424
Using a combined quantitative proteomic and bioinformatic approach, we monitored the cytoplasmic proteome profile of the Gram-positive bacterium Bacillus subtilis during a fermentation process in complex medium. Proteome signatures were applied to el
Autor:
Robert M. Caldwell, Stuart C. Causey, Randal R. Maile, Walter Weyler, Eugenio Ferrari, Ron Sapolsky
Publikováno v:
Journal of Bacteriology. 183:7329-7340
The availability of the complete sequence of the Bacillus subtilis chromosome (F. Kunst et al., Nature 390:249–256, 1997) makes possible the construction of genome-wide DNA arrays and the study of this organism on a global scale. Because we have a
Autor:
Eric S. Lander, Nancy Perkins, Thomas J. Hudson, Linda Hsie, Lincoln Stein, Robert J. Lipshutz, Chad Nusbaum, Ellen Winchester, Michael P. Mittmann, Ron Sapolsky, Jessica B. Spencer, Leonid Kruglyak, Steve Rozen, Elizabeth M. Robinson, Naiping Shen, Mark S. Chee, John D. Rioux, Ghassan Ghandour, Thodoros Topaloglou, Earl Hubbell, Dan Kilburn, Macdonald S. Morris, Jian-Bing Fan, Chia-Jen Siao, Peter M. Young, Anthony Berno, David G. Wang
Publikováno v:
Science. 280:1077-1082
Single-nucleotide polymorphisms (SNPs) are the most frequent type of variation in the human genome, and they provide powerful tools for a variety of medical genetic studies. In a large-scale survey for SNPs, 2.3 megabases of human genomic DNA was exa
Autor:
Mirjana Alvi, Vicky Huynh, Matt Ghent, Chuan Chen, Kent Suyenaga, Jeanette Schmidt, Ron Sapolsky, Farooq Siddiqui, Lawrence Greenfield, Benjamin M. Bolstad, Eric T. Fung, Wai Wu, Bitao Liu, Anju Shukla, Sumathi Venkatapathy, Xuan Shen, Carsten Bruckner, Liansen Liu, Diana Abdueva, Patrick Weaver
Publikováno v:
Cancer Research. 74:4655-4655
DNA copy number (CN) studies hold great promise for the discovery of clinical biomarkers to predict disease course, recurrence risk, and response to therapy. The molecular characterization of a tumor genome across many samples helps to classify cance
Publikováno v:
Cancer Research. 72:1259-1259
Background Copy number (CN) and somatic mutation studies of cancer are powerful tools for discovering reliable biomarkers that can predict clinical outcomes. We have shown that the Molecular Inversion Probe (MIP) assay used in the OncoScan™ platfor
Publikováno v:
Cancer Research. 71:4868-4868
Background: Copy number (CN) and somatic mutation studies of cancer hold great promise for the discovery of reliable biomarkers that can predict clinical outcomes. One of the challenges in such study is the majority of banked samples are formalin-fix
Publikováno v:
Clinical Cancer Research. 16:B14-B14
Background: Copy number (CN) studies of cancer hold great promise for the discovery of reliable biomarkers that can predict clinical outcomes such as prognosis and response to medication. One of the greatest challenges in the study of cancer CN (CCN)
Autor:
Haike Antelmann, Ron Sapolsky, Brian Miller, Eugenio Ferrari, Gopal Chotani, Walter Weyler, Alfred Gaertner, Michael Hecker
Publikováno v:
Proteomics; Aug2004, Vol. 4 Issue 8, p2408-2424, 17p