World Proteome Informatics Markets
World Proteome Informatics Markets
RELEASE DATE
24-Dec-2003
24-Dec-2003
REGION
Global
Global
Research Code: A616-01-00-00-00
SKU: HC00921-GL-MR_04736
$2,450.00
In stock
SKU
HC00921-GL-MR_04736
Description
The proteomics field has been developing gradually over the last several years, and is establishing itself as a proven toolkit for performing experiments. The traditional approach of 2-D gel electrophoresis (2DGE) followed by mass spectrometry (MS) has continued to grow, and many complementary variations incorporating chromatography are beginning to gain popularity. Data management (DM), knowledge management (KM), laboratory information management systems (LIMS), and other scientific data systems are increasingly being offered to tackle the data flood created by these high throughput techniques.
Table of Contents
Executive Summary
- Executive Summary
Overview
- Introduction
- Background and Definitions
- Objective and Purpose
- Structure and Segmentation
Drivers and Restraints
- Market Drivers
- Market Restraints
Revenue Forecasts and Market Share
- Methodology and Assumptions
- Revenue Forecast
- Market Share by Technology
Industry Trends
- Introduction
- Expression
- Structure
- Interaction
Technology Trends
- Introduction
- Expression
- Structure
- Interaction
Competitive Landscape
- Company Analysis
- Products and Deals
- Deals and Partnerships
Market Engineering Measurements
Challenges and Strategies
Frost & Sullivan Awards
Key Industry Participants
Definitions and Acronyms
Related Research
Popular Topics
The proteomics field has been developing gradually over the last several years, and is establishing itself as a proven toolkit for performing experiments. The traditional approach of 2-D gel electrophoresis (2DGE) followed by mass spectrometry (MS) has continued to grow, and many complementary variations incorporating chromatography are beginning to gain popularity. Data management (DM), knowledge management (KM), laboratory information management systems (LIMS), and other scientific data systems are increasingly being offered to tackle the data flood created by these high throughput techniques.
No Index | Yes |
---|---|
Podcast | No |
Industries | Healthcare |
WIP Number | A616-01-00-00-00 |
Is Prebook | No |