3 eBooks tagged "Analysis and Data"
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2008
Posted: May 20th, 2007, 2:20pm CEST by PzBooks
Title : Data Analysis in Molecular Biology and Evolution
Author : Xuhua Xia
Publisher: Springer
ISBN : 0 - 792 - 37500 - 9
PDF | 284 pages | English
Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis.
The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories.
Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field.
Download :
http://rapidshare.com/files/32198605/Data_Analysis_in_Molecular_Biology___Evolution.pdf
(Size = 7.5 MB)
Posted: September 7th, 2007, 1:30pm CEST by Spiral
LANGUAGE : English
FORMAT : PDF
SIZE : 05 x 2.88 MB
Quote:
[ R e l e a s e N o t e s ]
Because the analysis of copious amounts of data and the preparation of
custom reports often take away time from true research, the automation
of these processes is paramount to ensure productivity. Exploring the
core areas of automation, report generation, data acquisition, and data
analysis, Automated Data Analysis Using Excel illustrates how to
minimize user intervention, automate parameter setup, obtain consistency
in both analysis and reporting, and save time through automation.
Focusing on the built-in Visual Basic(r) for Applications (VBA) scripting
language of Excel(r), the book shows step-by-step how to construct useful
automated data analysis applications for both industrial and academic
settings. It begins by discussing fundamental elements, the methods for
importing and accessing data, and the creation of reports. The author
then describes how to use Excel to obtain data from non-native sources,
such as databases and third-party calculation tools. After providing the
means to access any required information, the book explains how to
automate manipulations and calculations on the acquired data sources.
Collecting all of the concepts previously discussed in the book, the
final chapter demonstrates from beginning to end how to create a
cohesive, robust application. With an understanding of this book,
readers should be able to construct applications that can import data
from a variety of sources, apply algorithms to data that has been
imported, and create meaningful reports based on the results.
U
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