Gene Function Analysis (116 results)
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paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-08-01 Pages: 141 Language: Chinese Publisher: Science Press This book includes five chapters . including the introduction section describes the mechanisms of plant stress re…sistance and resistance gene cloning research developments. Other chapters are Limonium resilience molecular mechanism ( Chapter II ) and several stress gene function analysis ( third to chapters ) . Combined EST and cDNA microarray analysis of the differences between L. bicolor gene expression be.Four Satisfaction guaranteed,or money back.
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Taschenbuch. Condition: Neu. Integrative transcriptomic analysis of plant co-expression networks | A study of gene function prediction and knowledge transfer between species | Marek Mutwil | Taschenbuch | 120 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847303169 | Verantwortliche Person für die EU: BoD - Boo…ks on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Analysis of viriato gene function during Drosophila Development | Molecular and Cellular Analysis of the Function of viriato Gene During Drosophila Development | Joana Marinho | Taschenbuch | 160 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659210419 | Verantwortliche Person für d…ie EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 360 | Sprache: Englisch | Produktart: Bücher | This volume of Methods in Molecular Biology focuses on techniques to determine the function of a gene. Traditionally, the function of a gene was determined following cloning, which provided its DNA sequence and an ab- ity to modify th…is sequence. Experiments were performed that looked for p- notypic changes in a cell line or model organism following modifications to the sequence, knocking out of the gene, or enhancing expression of the gene. In the 1990¿s, the growing sequence databases and the BLAST algorithm provided additional power by allowing identification of genes with known function that had similar sequences and potentially similar molecular mechanisms. On the experimental side, methods, such as two-hybrid screening that could directly determine the partners of specific proteins and even the domains of interaction, came into widespread use. With the advent of high-throughput technologies following completion of the human genome project and similar projects in model organisms, the n- ber of genes of interest has expanded and the traditional methods for gene fu- tion analysis cannot achieve the throughput necessary for large-scale exploration. Although computational tools such as BLAST remain a good point of departure, it is often the case that a gene that appears interesting in a hi- throughput experiment shows no obvious similarity to a gene of known fu- tion. In addition, when BLAST does find a similar gene, the process has often only begun.
