Digital Day Trading; Moving from One Winning Stock Position to the Next

GO Digital Day Trading; Moving from One Winning Stock Position to the Next


Author: Howard Abell
Type: eBook
Language: English
Released: 1999
Publisher: Dearborn Trade Pub
Page Count: 141
Format: pdf
ISBN-10: 0793131138
ISBN-13: 9780793131136
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Description:
Leading scientists in gene expression methodology and bioinformatics data analysis describe readily reproducible methods for measuring RNA levels in cells and tissues. The techniques presented include new methods for applying the Affymetrix GeneChipВ®, SAR-SAGE, StaRT-PCR, SSH, the Invader AssayВ®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. By distilling the basic underlying principles of many methods to a few straightforward concepts, investigators can easily choose the method most appropriate to their application. From the Back Cover The transcription of messenger RNA from a DNA template is a key process in a wide variety of biological systems. In Gene Expression Profiling: Methods and Protocols, leaders in gene expression methodology and bioinformatics data analysis share their best methods for measuring RNA levels in cells and tissues. Each proven protocol is described in step-by-step detail and contains an introduction outlining the principle behind the technique, lists of equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Special care has been taken to distill the basic underlying principles of each method to a few straightforward concepts so that investigators can easily choose the method most appropriate to their application. The readily reproducible techniques presented include new methods for applying the GeneChipВ®, SAR-SAGE, StaRT-PCR, SSH, the Invader AssayВ®, and ADGEM. The authors also provide critical bioinformatics insight and resources for data analysis and management. Cutting-edge and highly practical, Gene Expression Profiling: Methods and Protocols allows novice and experienced investigators alike not only to choose the best method to determine how genes are turned on and off in many different organisms, but also to use informatics resources to analyze and understand the results.