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Bioinformatics 2003
 
Introduction

A Neuroscientist's Guide to Genomic Resources.

Knowledge Discovery in Medline and Other Databases.

From Molecules to Brains: Navigating through Multi-resolution Imaging Data Using Knowledge-Guided Mediation.

Design and Analysis of Microarray Experiments: Synthesizing Data for Research Questions.

Analysis and Interpretation of Microarray Data

WebQTL: A Tour of Transcriptional Networks

Protein Mixture Analysis by Tandem Mass Spectrometry 

Bioinformatics and Brain Imaging: Recent Advances and Neuroscience Applications 

Managing Your Lab Data Flux: Getting Beyong Excel


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Bioinformatics 2003: Short Course l
The Bioinformatics of Brains:
From Genes and Proteins to Behaviors


Organized by Robert W. Williams, PhD

A Society for Neuroscience short course presented at NEUROSCIENCE 2003
 
List of Contents

 

Introduction

Bioinformatic tools, tactics, and resources are having a profund impact on virtually all facets of neuroscience. Knowing what types of questions can be asked and answered using the latest generation of computational resources is one key to continued success in neuroscience. What would have been a year-long experiment can now often be reduced to a few keystrokes and clicks.

We assume no special quantitative or computational background, only intense interest in discovering how you can take advantage of burgeoning bioinformatics resources. The course faculty will cover several key aspects of exploiting full genome sequence data, microarrays, mutagenesis research, rich 2-D and 3-D image data sets of whole brains and single cells, as well as massive functional-physiological and behavioral data sets.

All faculty presentations will include practical advice and protocols and more advanced coverage of special topics. In addition to tours of online resources, we intend to give you advice on laboratory relational database systems, exploratory data analysis, the informatics and processing of microarray results, and strategies of data reduction of complex multidimensional data sets (clustering, self-organizing maps). You will be introduced to some of the latest tools for acquiring, analysing, and combining complex multidimensional image datasets from the level of synapses to sytoarchitectonic divisions.

This short course will help you to learn more about exploring and exploiting online and in-lab resources to increase the pace and quality of your research. This full day course consists of a series ofg lectures by the faculty followed by informal workshops, and includes a syllabus booklet and matched online resources.

Course Organizers: Robert W. Williams PhD, University of Tennessee Health Science Center. Faculty: Elissa J. Chesler, PhD, University of Tennessee Health Science Center; Carrolee Barlow M.D., PhD., Salk Institute; David L. Deitcher, PhD., Cornell University; Dan Geschwind, M.D., PhD., UCLA; Bruce S. Kristal, PhD., UCSD, Paul M. Thompson, PhD. UCLA

Note to the Reader Please cite articles using this model: [AUTHOR'S LAST NAME, AUTHOR'S FIRST & MIDDLE INITIALS] (2002) [CHAPTER TITLE] In: Bioinformatics 2003: Short Course I The Bioinformatics of Brains: From Genes and Proteins to Behaviors. (Williams RW, eds) pp. [xx-xx]. Washington: Society for Neuroscience.
All articles and their graphics are under the copyright of their respective authors.
Cover graphics
©2003 Society for Neuroscience.

   


Neurogenetics at University of Tennessee Health Science Center

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