DNA微陣列市場趨勢(裝機率，應用，購買計劃，新一代測序的影響)

DNA微陣列市場趨勢(裝機率，應用，購買計劃，新一代測序的影響) 是由出版商Kalorama Information在2011年10月所出版的。 這份英文市場調查報告書包含100 Pages 價格從美金3500起跳。

簡介

本報告提供DNA微陣列產品及新一代定序的客戶綜合意見，對銷售定序產品的企業來說有效的資訊彙整，為您概述為以下內容。

第1章 摘要整理

第2章 簡介及人口統計

• 方法
• 概要
• 人口統計
  • 受訪者實驗室的地區分佈
  • 受訪者實驗室的產業分佈
  • 受訪者實驗室的功能
  • 整體
  • 受訪者的職位
  • 安裝系統的分佈
    • 掃描機／讀卡機數
    • 液體工程站數
    • 雜交反應培養箱數
    • 其他的掃描機／讀卡機數
  • 所有的掃描機／讀卡機品牌

第3章 系統的安裝

• 掃描機模式的分佈
  • 不同品牌讀卡機平均數
  • Affymetrix掃描機／讀卡機
  • illumina掃描機／讀卡機
  • Agilent掃描機／讀卡機
  • Molecular Devices (Axon) 掃描機／讀卡機
  • 其他的掃描機／讀卡機
  • 實驗室的掃描機品牌
  • 雜交反應培養箱品牌
  • 資料分析所採用的第三者軟體
• 各地區裝機率
  • 品牌·類型
• 各業界讀卡機裝機率
• 各實驗功能讀卡機裝機率
  • 應用與使用趨勢
  • 應用， 晶片，樣品數
  • 品牌·各類型應用
  • 增加最多的應用領域
  • 微陣列樣品數(每月，不同品牌)
  • 標準微陣列產品:不同品牌
  • 標準產品和客制化晶片的使用
• 客制化微陣列/核酸探針的主要可用資源
• 外包
• 濃度，尺寸，品質檢查所採用的系統

第4章 愛好與評估

• 系統的評級與評估
  • 不同品牌
  • 最終消費者的評論
    • 整體
    • Affymetrix
    • Agilent
    • Illumina
    • In-house/ spotted
    • NimbleGen
  • 不同品牌變化與改善
  • 樣品製作大量採用的品牌
  • 資料分析·資料管理的困難
  • 最終消費者評論

第5章 未來的購買計劃

• 微陣列系統購買計劃進度
• 2年以內所計畫的系統購買
• 系統實驗室會選擇相同的應用程序
• 新一代測序對微陣列的影響
  • 定序對實驗室微陣列使用的影響
  • 最終消費者評論
  • 短期的影響，大的影響
  • 長期的影響
  • 些微的影響

圖表

目錄

DNA Microarrays are utilized heavily by research labs for a number of tasks such as gene profiling, RNA detection and SNP analysis. But as Kalorama Information's DNA Market Trends report indicates, the market for these systems is about to experience change. The report authored by Kalorama Information biotech analyst Justin Saeks, is the result of surveys carried out with microarray labs to determine the current state of the microarray market and attempt to predict the future direction of the technologies.

As part of the survey , analyst Justin Saeks contacted 114 labs worldwide (76% U.S.) to determine the current usage of the DNA microarrays, system installs and future purchases, as well as where they will intersect with next-generation sequencing.

The following represents the types of data the survey addressed and this report provides:

• Number and brand of Microarry systems owned
• Fluidics stations and/ or Hybridization Ovens Used
• Applications Run Most Often
• Chips Run Most, Samples Run Per Month
• Catalog Arrays versus Commercial or In-house Custom Arrays
• Outsourcing of Microarray Samples
• What Microarray Features, or Steps in the Sequencing Process Labs Would Like to Change
• Main Bottlenecks in Microarray Process
• Lab-Identified Challenges of Data Analysis and Data Management
• Applications with an Increase in Samples from 2011 - 2013?
• How Labs expect Next-generation Sequencing to Affect the Usage of Microarrays
• Sample Preparation Products Used
• Future Purchase Plans and Time-Frames

Respondents were asked what type of brands they use or plan to use, types of applications run most commonly with each brand, and their future purchase plans.

Products of the following companies are among the survey results in this report:

• Affymetrix
• Molecular Devices/ Axon
• Agilent
• Illumina
• NimbleGen
• PerkinElmer
• ND
• Agilent
• NimbleGen/ MAUI
• Advalytics
• Digilab
• SciGene HyBex
• BioConductor
• Partek
• GeneSpring
• GeneSifter
• In-house
• Array-Pro Analyzer
• ArrayStar
• Biominer
• Chipster
• GeneDirector
• GenePix Pro
• Rosetta Resolver
• Dchip
• GMP Genomics
• Ingenuity
• Pacific Biosciences
• Ion Torrent
• ABI
• Roche/454

The report contains real insights from customers using DNA Microarry products and next-generation sequencers and conclusions from an analyst who has covered the market for sequencers, SNPs, gene expression and other devices for years. It is essential for anyone marketing microarray products and also useful for companies marketing sequencing products who would like to know the status of their products in the market.

CHAPTER ONE: EXECUTIVE SUMMARY

• Introduction
• Scope
• Lab Demographics
• Summary of Findings

CHAPTER TWO: INTRODUCTION & DEMOGRAPHICS

• Methodology
• Outline
• Demographics
  • Regional Distribution of Respondents' Labs
  • Industrial Distribution of Respondents Labs
  • Laboratory Function of Respondents' Labs
  • Overall
    • Regional Distribution
  • Positions/ Titles of Respondents
  • Distribution of Systems Installed
    • Numbers of Scanners/ Readers in Labs
    • Numbers of Fluidics Stations
    • Numbers of Hybridization Ovens
    • Number of Other Scanners/ Readers in Organization
    • Number of Other Scanners/ Readers in Organization
  • Brand(s) of Scanners/ Readers Owned

CHAPTER THREE: SYSTEM INSTALLATIONS

• Distribution of Scanner Models
  • Total and Average Number of Readers by Brand
  • Affymetrix Scanners/ Readers Installed
  • Illumina Scanners/ Readers Installed
  • Agilent Scanners/ Readers Installed
  • Molecular Devices (Axon) Readers/ Scanners Installed
  • Other Scanners/ Readers Installed
  • Brands of Scanners in Labs, Cross-Referenced
  • Brands of Hybridization Ovens
  • 3rd Party Software Used for Data Analysis
• Installed Base by Region
  • Overall Brand/ Type
• Installed Base of Readers by Industry Segment
• Installed Base of Readers by Laboratory Function
  • Applications and Usage Trends
  • Applications, Chips, Number of Samples
  • Applications Run Overall and by Brand/ Type
  • Applications Most Likely to Increase
  • Number of Microarray Samples Run per Month, by Brand
  • Brand of Microarrays Used Most by Scanner/ Reader
  • Top Catalog Microarray Products Used, by Brand
  • Usage of Catalog vs Custom Chips
• Main Source for Custom Microarrays/ Probes
• Outsourcing
• Systems Used to Check Concentration, Size, Quality

CHAPTER FOUR: PREFERENCES AND EVALUATIONS

• Ratings and Evaluations of Systems
  • Ratings by Brand
  • End-user Verbatim Comments About Microarray System Brands
    • General (multiple brands)
    • Affymetrix
    • Agilent
    • Illumina
    • In-house/ spotted
    • NimbleGen
• Changes or Improvements, by Brand
  • Bottlenecks in Process, by Brand
  • Criteria for Choosing Sample Preparation Products
• Brands Used Most for Sample Preparation
  • RNA/DNA Extraction
  • Brands Used for Amplification and Labeling
• Difficulty of Data Analysis & Data Management
  • Data Analysis
  • Data Management
• End-User Verbatim Comments
  • Data Analysis

CHAPTER FIVE: FUTURE PURCHASE PLANS

• Time-Frame of Microarray System Purchase Plans
• System Purchases Planned Within Two Years
• Systems Labs Would Choose Today for Same Applications
• Expected Effects of Next-Gen Sequencing on Microarrays
  • Impact of Sequencing on Labs' Microarray Usage
  • End-User Verbatim Comments
  • Near-term Effects, Large Effects
  • Longer term Effects
  • Minor effects

CHAPTER ONE: EXECUTIVE SUMMARY

• Table 1-1: Summary of Findings

CHAPTER TWO: INTRODUCTION & DEMOGRAPHICS

• Table 2-1: Regional Distribution of Respondent Labs
• Figure 2-1: Regional Distribution of Respondent Labs
• Table 2-2: Industrial Distribution of Respondent Labs
• Figure 2-2: Industrial Distribution of Respondent Labs
• Table 2-3: Industrial Distribution by Region
• Table 2-4: Industrial Distribution by Region
• Figure 2-3: Industrial Distribution by Region
• Table 2-5: Distribution of Labs' Main Function(s)
• Figure 2-4: Distribution of Labs' Main Function(s)
• Table 2-6: Distribution of Lab Function(s) by Region
• Table 2-7: Distribution of Lab Function(s) by Region
• Figure 2-5: Distribution of Lab Function(s) by Region
• Table 2-9: Distribution of Respondents' Position/ Title
• Figure 2-6: Distribution of Respondents' Position/ Title
• Table 2-10: Distribution of Total Number of Scanners/ Readers
• Figure 2-7: Distribution of Total Number of Scanners/ Readers
• Table 2-11: Distribution of Number of Affymetrix Fluidics Stations
• Figure 2-8: Distribution of Number of Affymetrix Fluidics Stations
• Table 2-12: Distribution of Number of Hybridization Ovens
• Table 2-13: Number of Other Scanners/ Readers in Organization
• Table 2-14: Other Systems Used in Lab for These Applications
• Figure 2-9: Other Systems Used in Lab for These Applications
• Table 2-15: Brand(s) of Scanner/ Reader Owned
• Figure 2-10: Brand(s) of Scanner/ Reader Owned

CHAPTER THREE: SYSTEM INSTALLATIONS

• Table 3-1: Number of Systems Installed, by Brand
• Figure 3-1: Average Number of Systems Installed, by Brand
• Table 3-2: Scanner Models Installed in Affymetrix Owning Labs
• Figure 3-2: Scanner Models in Affymetrix Owning Labs (% of Sys)
• Table 3-4: System Models Installed in Illumina Owning Labs
• Figure 3-4: System Models Installed in Illumina Owning Labs (% of Sys)
• Table 3-5: Scanner Models Installed in Agilent Owning Labs
• Figure 3-5: Scanner Models Installed in Agilent Owning Labs (% of Sys)
• Table 3-6: Scanner Models Installed in Molec. Devices Owning Labs
• Figure 3-6: Scanners Installed in Molec. Devices Owning Labs (% of Sys)
• Table 3-7: Other Scanners Installed in Respondent Labs
• Figure 3-7: Other Scanners Installed in Respondent Labs (% of Systems)
• Table 3-8: Brands of Readers in Labs Owning Given Brand (# of Systems)
• Figure 3-8: Brands of Readers in Labs Owning Given Brand (% of Systems)
• Table 3-9: Brands of Hybridization Ovens Installed
• Figure 3-9: Brands of Hybridization Ovens Installed (% of Systems)
• Table 3-10: Third-Party Software Used for Data Analysis
• Table 3-11: Number of Scanners/ Readers by Region
• Table 3-12: Brands of Scanners/ Readers by Region
• Table 3-13: Brands of Scanners/ Readers by Region
• Figure 3-10: Brands of Scanners/ Readers by Region (% of Systems)
• Table 3-14: Regional Distribution Cross-Referenced by Brand
• Table 3-15: Number of Scanners/ Readers by Industry/ Segment
• Table 3-16: Brands of Scanners/ Readers by Industry/ Segment
• Table 3-17: Brands of Scanners/ Readers by Industry/ Segment
• Table 3-18: Industrial Distribution Cross-Referenced by Brand
• Table 3-19: Number of Scanners/ Readers by Lab Function
• Table 3-20: Brands of Scanners/ Readers by Lab Function
• Table 3-21: Brands of Scanners/ Readers by Lab Function
• Table 3-22: Lab Function Distribution, Cross-Referenced by Brand
• Table 3-23: Applications Run on System, by Brand of Reader
• Figure 3-11: Applications Run on System, by Brand of Reader
• Table 3-24: Applications Most Likely to Increase
• Figure 3-12: Applications Most Likely to Increase
• Table 3-25: Number of Samples/ Month, by Brand (# of Scanners)
• Table 3-26: Number of Samples/ Month, by Brand (% of Scanners)
• Table 3-27: # Samples/ Month by Brand, Cross-Referenced by # Samples
• Table 3-26: Microarray Brand(s) Used Most by Reader (# of Readers)
• Table 3-27: Microarray Brand(s) Used Most by Reader (% of Readers)
• Table 3-28: Brands Used by Reader, Cross-Referenced by Chip Brand
• Table 3-29: Top Three Microarrays Used, by Brand
• Table 3-30: Percentage Usage of Catalog vs Custom Chips
• Figure 3-13: Percentage Usage of Catalog vs Custom Chips
• Table 3-31: Source(s) of Custom Microarrays/ Probes (% of Labs)
• Figure 3-14: Source(s) of Custom Microarrays/ Probes (% of Labs)
• Table 3-32: Outsourcing of Microarray Samples
• Figure 3-15: Outsourcing of Microarray Samples
• Table 3-33: Reasons for Outsourcing Microarray Samples
• Figure 3-16: Reasons for Outsourcing Microarray Samples
• Table 3-34: Systems Used to Check Concentration, Size, Quality
• Figure 3-17: Systems Used to Check Concentration, Size, Quality

CHAPTER FOUR: PREFERENCES AND EVALUATIONS

• Table 4-1: Microarray Systems Ratings, by Major Brands (Cost, Throughput, Software, Dynamic Range, Ease of Use, Content on Arrays, Sample Size, Customer Service)
• Figure 4-1: Microarray Systems Ratings, by Brand (Cost, Throughput, Software, Dynamic Range, Ease of Use, Content on Arrays, Sample Size, Customer Service)
• Table 4-2: Features/ Steps to Improve or Change, by Brand
• Table 4-3: Features/ Steps to Improve or Change, by Brand
• Table 4-4
• : Bottleneck Where Samples Back Up, by Brand(Sample Prep, Fluidics, Labeling, Scanning, Data Analysis, Personnel, Hybridization, Other )
• Table 4-5: Bottleneck Where Samples Back Up, by Brand (Sample Prep, Fluidics, Labeling, Scanning, Data Analysis, Personnel, Hybridization, Other )
• Table 4-6: Criteria for Choosing Sample Preparation Products (Precedence, Cost, Ease of Use, Reproducibility, Throughput, Automation, Small Sample, Customer Service, Other)
• Figure 4-2: Criteria for Choosing Sample Preparation Products (Precedence, Cost, Ease of Use, Reproducibility, Throughput, Automation, Small Sample, Customer Service, Other)
• Table 4-7: Brands Used Most for RNA/ DNA Extraction
• Figure 4-3: Brands Used Most for RNA/ DNA Extraction
• Table 4-8: Brands Used Most for Amplification and Labeling
• Figure 4-4: Brands Used Most for Amplification and Labeling
• Table 4-9: Difficulty of Data Analysis
• Figure 4-5: Difficulty of Data Analysis
• Table 4-10: Difficult of Data Management
• Figure 4-6: Difficulty of Data Management

CHAPTER FIVE: FUTURE PURCHASE PLANS

• Table 5-1: Planned Purchases of Systems Within Two Years
• Figure 5-1: Planned Purchases of Systems Within Two Years
• Table 5-2: Time-Frame of Purchase Plans Within Two Years
• Figure 5-2: Time-Frame of Purchase Plans Within Two Years
• Table 5-3: Brands of Planned System Purchases
• Figure 5-3: Brands of Planned System Purchases
• Table 5-4: System(s) Labs Would Choose Today for Same Applications
• Figure 5-4: System(s) Labs Would Choose Today for Same Applications
• Table 5-5: Impact of Next-Gen Sequencing

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