Genes VII / by 441264 Lewin, Benjamin

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Gene therapy / by Tannert, Christof, 1946-

Subjects: “…Gene therapy…”

Gene therapy / by 301601 Colavito, Mary C.

Subjects: “…Gene therapy…”

Pain genes. by Tom Foulkes, John N Wood

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Pain Genes? by Luc Jasmin

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Sleepy Genes by Bruce F O'Hara, Valérie eMongrain

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Glucuronidase Gene by Hikmat M. Masyab, Qutaiba S. Al-Nema, Mozahim Q. Al-Mallah

“…The aim of this study is to find the interaction of glucuronidase (GUS)-labeled G. diazotrophicus with spinach seedlings and the detection of GUS genes using X-gluc dye (5-bromo-4-chloro-3-indolyl-β-D- glucuronic acid). …”
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Screening the genes

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Genes to Drugs by Tomi K. Sawyer

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Genes for schizophrenia. by Crow, T

Genes and arthritis. by Wordsworth, P

“…In particular, the power of modern molecular genetics both to test candidate genes (e.g. collagen in OI) and to identify genes where no prior knowledge of the protein defects exists (e.g. fibrillin in the Marfan syndrome) has proved quite remarkable. …”

Genes and causation. by Noble, D

“…This paper examines some of the misconceptions, starting with the changing definitions of a gene, from the cause of phenotype characters to the stretches of DNA. …”

Genes in the spondyloarthropathies. by Wordsworth, P

“…HLA class II association may indicate either an independent effect for these genes or the existence of extended MHC haplotype containing other relevant genetic loci. …”

Genes and homology. by Webber, C, Ponting, C

Associations of iron metabolism genes with blood manganese levels: a population-based study with validation data from animal models by Claus Henn Birgit, Kim Jonghan, Wessling-Resnick Marianne, Téllez-Rojo Martha, Jayawardene Innocent, Ettinger Adrienne S, Hernández-Avila Mauricio, Schwartz Joel, Christiani David C, Hu Howard, Wright Robert O

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Genética de la esquizofrenia: avances en el estudio de genes candidatos by Adriana Pacheco, Henriette Raventós

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Taxonomically Restricted Genes Are Fundamental to Biology and Evolution by Brian R. Johnson

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Effective gene selection techniques for classification of gene expression data / by 391830 Yeo, Lee Chin

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Stochastic Dynamics of Gene Switching and Energy Dissipation for Gene Expression by Quan Liu, FengZhen Yu, Liang Yi, Yijun Gao, Rong Gui, Ming Yi, Jianqiang Sun

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MEGO: gene functional module expression based on gene ontology by Kang Tu, Hui Yu, Mingzhu Zhu

“…By partitioning genes according to multiple gene functional categorization principles and summarizing gene expression values into module expression values, MEGO (module expression based on gene ontology), a standalone microarray data analysis program, is able to extract highly activated gene functional modules that are of much interest to microarray experimenters. …”
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