Transcript Document

Packard
BioScience
What is ArrayInformatics?
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BioScience
ARRAYINFORMATICS IS….
•An integrated software package of tools for
organizing, storing and analyzing gene
expression microarray data
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DATABASE STRUCTURE REFLECTS MICROARRAY PROCESS MAP
Data importation steps are identified
in key microarray process areas
Data process flow is based on
typical microarray experiment design
Data analysis and visualization is
comprehensive and reproducible
RESULTS
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ArrayInformatics®
Database Tools
Visualization Tools
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ArrayInformatics®
Database Tools
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ArrayInformatics Database Tools
Relational database structure operating under Windows 2000
Professional and Microsoft SQL Server
Stores and organizes gene expression data from QuantArray and
GPR export files
Direct integration with SpotArray printers, ScanArray scanners
and QuantArray image analysis software
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FLEXIBLE DATABASE WITH EASY-TO-USE INTERFACE
Process Map
guides
data entry points
Action items
are specific
for Process Step
selected
Database entries
organized by
Microarray
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INTEGRATED IMPORT WITH MICROARRAY
PRINTERS, SCANNERS AND ANALYSIS SOFTWARE FILES
WIZARD-DRIVEN STEPS MAKE DATA IMPORT EASY AND FAST
Selection of
data importation
step activates
5 step wizard
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FLEXIBLE DATABASE WITH EASY-TO-USE INTERFACE
Microarray data sorting and organization
is done through standard column
sorting functions
Imported microarray data appears in
database listings
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ArrayInformatics®
Visualization Tools
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ArrayInformatics Visualization Tools
Analysis Map shows each transformation for easy adjustment of
entire analysis protocol
Powerful graphing and clustering tools provide comprehensive
data analysis
Expression profile searching and matching is easy and
reproducible with user-generated gene lists
Easy data and graph exporting feature provides reports and
publications with high quality graphics
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EASY SELECTION OF MICROARRAYS FROM DATABASE
Creating an Analysis
Protocol keeps the microarrays
selected from the database
organized
Microarrays available in the
Database for analysis are
listed by Experiment name
Microarrays selected for
analysis are transferred
individually for easy organization
Data
Datafrom
fromselected
selectedmicroarrays
microarrays
can
canbe
beorganized
organizedininindividual
individual
tabs
or
on
a
single
spreadsheet
tabs or on a single spreadsheet
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INITIAL DISPLAY OF DATA IS A SPREADSHEET VIEW
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GENE EXPRESSION
MICROARRAY DATA ANALYSIS STEPS

NORMALIZATION
 Corrects data on each individual microarray for reagent
and methods variations

STANDARDIZATION
 Corrects data across all microarrays in the analysis
protocol for slide-to-slide variations

FILTERING
 Reduces data set with user selected parameters for
easier identification of actively changing gene
expression patterns
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NORMALIZATION
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Normalization of data is a necessary transformation step
Choice of Normalization
methods ensures
best correction for
microarray variables
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Analysis Process Map tracks Normalization step
Data Node appears
and will display
transformation step
with initial spreadsheet
icon
Spreadsheet
icon
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STANDARIZATION
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Standarization across all microarrays is 2nd transformation step
Data columns selected as
standardization parameters
are listed for easy adjustment
Additional standardization
methods give this step
maximum flexibility
All data columns
are available for
use as standardization
parameters
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Analysis Process Map tracks Standardization step
Spreadsheet
icon
Data Node appears
and will display
transformation step
with initial spreadsheet
icon
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FILTERING
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Data filtering is a powerful 3rd transformation step
(2)
Selected data columns
are organized
for easy adjustment
and changes
(1)
Any data column in
microarray can be
used as a filter
(4)
User-defined gene lists
can be used as a
powerful filtering tool
(3)
Filter thresholds
provide
flexibility and
statistical power
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Analysis Process Map tracks Filtering step
Spreadsheet
icon
Data Node appears
and will display
transformation step
with initial spreadsheet
icon
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GRAPHICAL VIEWS OF TRANSFORMED DATA

Scatter Plot
 XY plot of any selected column data - typically intensity of Fluor1
vs intensity of Fluor2

Line Plot
 Plot of selected genes vs selected column data - typically genes
vs ratio values

Series Plot
 Plot of selected column data vs microarray time points - typically
ratio values vs all selected microarrays

Cluster Image Map
 Heat Map representation with horizontal and vertical dendrograms
- typically ratio data with green (low) to red (high)
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BioScience
GRAPHICAL VIEWS OF TRANSFORMED DATA

Scatter Plot
 XY plot of any selected column data - typically intensity of
Fluor1 vs intensity of Fluor2

Line Plot
 Plot of selected genes vs selected column data - typically genes
vs ratio values

Series Plot
 Plot of selected column data vs microarray time points - typically
ratio values vs all selected microarrays

Cluster Image Map
 Heat Map representation with horizontal and vertical dendrograms
- typically ratio data with green (low) to red (high)
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Scatter Plot Properties & Settings
Any column data
can be set as
X or Y axis values
Any number of data rows
or
all data rows
can be selected for display
Easily adjusted threshold
settings allow flexibility
in viewing of
ratio values indicating
gene activation or
suppression
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Scatter Plot View
Scatter Plot
icon
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GRAPHICAL VIEWS OF TRANSFORMED DATA

Scatter Plot
 XY plot of any selected column data - typically intensity of Fluor1
vs intensity of Fluor2

Line Plot
 Plot of selected genes vs selected column data - typically
genes vs ratio values

Series Plot
 Plot of selected column data vs microarray time points - typically
ratio values vs all selected microarrays

Cluster Image Map
 Heat Map representation with horizontal and vertical dendrograms
- typically ratio data with green (low) to red (high)
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Line Plot Properties
Selected rows
or all rows of data
can be selected
for display
Any single column of data
or a group of columns
can be selected as
the pattern to plot
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Line Plot View
Specific icon appears in
data node being analyzed
and
line plot automatically
displays selected data
Line Plot
icon
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GRAPHICAL VIEWS OF TRANSFORMED DATA

Scatter Plot
 XY plot of any selected column data - typically intensity of Fluor1
vs intensity of Fluor2

Line Plot
 Plot of selected genes vs selected column data - typically genes
vs ratio values

Series Plot
 Plot of selected column data vs microarray time points typically ratio values vs all selected microarrays

Cluster Image Map
 Heat Map representation with horizontal and vertical dendrograms
- typically ratio data with green (low) to red (high)
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SERIES PLOT PROPERTIES & SETTINGS
Any number of rows
or all rows of data in
selected microarrays or
all microarrays
can be chosen for this plot
Any data column can
be selected to be plotted
as the series
All mnicroarrays in the
series can be
selected for display
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EXPRESSION PATTERN MATCHING UTILIZES ADJUSTABLE
CONFIDENCE LEVELS WITH UPPER AND LOWER THRESHOLD LIMITS
Select a gene
pattern by double
clicking on the line
of interest
The selected gene pattern
is displayed with upper
and lower limits and
correlation minimum
Series Plot
icon
After an executed search
genes with similar
patterns are
listed with
confidence calculations
RESULTING GENE LISTS PROVIDE A POWERFUL TOOL FOR
DATA ANALYSIS
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GRAPHICAL VIEWS OF TRANSFORMED DATA

Scatter Plot
 XY plot of any selected column data - typically intensity of Fluor1
vs intensity of Fluor2

Line Plot
 Plot of selected genes vs selected column data - typically genes
vs ratio values

Series Plot
 Plot of selected column data vs microarray time points - typically
ratio values vs all selected microarrays

Cluster Image Map
 Heat Map representation with horizontal and vertical dendrograms
- typically ratio data with green (low) to red (high)
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POWERFUL CLUSTER IMAGE MAPS (CIM) PROVIDES
COMPREHENSIVE DATA ANALYSIS
Horizontal and vertical
clustering with
dendrograms can be
independently selected
Cluster Image Map Plot
icon
Choice of clustering
algorithms ensures
even a complex data set
can be analyzed
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HIEARCHICAL CLUSTERING MAP PLOT
Dendrograms and heat map
visualization keys
enable in-depth data analysis
with clustering features
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DISPLAY CAN BE CONFIGURED FOR EASY AND FAST COMPARISONS
OF DATA TRANSFORMATIONS
Display can be tiled
with up to 3 panes
for quick and easy
graphical comparisons
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EXPORT OF ALL PLOTS IS FLEXIBLE AND EASY
All plots including the
CIM can be saved
as Hi-Res files for
use in publications
and reports
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ARRAYINFORMATICS CONFIGURATIONS

Personal Edition
 Runs on Workstation computer
 1-3

Research Edition
 Runs on network Server with Workstations
 5-8

individual users
individual users
Enterprise Edition
 Runs on network Server with Workstations
 10+
individual users
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ARRAYINFORMATICS
COMPUTER RECOMMENDATIONS


Workstation (All Editions)

Server (Research Edition)

Pentium® III, 1GHz processor

Pedistal/Tower Case

40 GB Hard Drive (One Drive, One
partition formatted with NTFS)

Two (2) 700 Mhz Pentium III Xeon
processors or better

512 MB RAM

1 GB RAM

19” color monitor

Raid Level 5
Four (4) 18 GB hard drives or better
- hot swap capable

Display Resolution: 1024 x 768 x
65K colors


Recordable/Rewriteable CD-ROM


Zip 250 disk drive


10/100 Mbs Ethernet network
interface card (NIC)
Recordable/Rewriteable CD-ROM
32X or better

10/100 Mbs Ethernet network
interface card (NIC)

20/40 GB tape backup drive

Windows 2000 Professional Server

Keyboard & mouse

Windows® 2000 Professional

Internet Explorer 5.0
Server (Enterprise Edition)

Call for information
19” Color Monitor
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Packard BioChip Technologies is constantly making
improvements to all its products including the
ArrayInformatics software package.
For the latest feature information on the
ArrayInformatics software package
contact:
Packard BioChip Technologies, LLC
40 Linnell Circle
Billerica, MA 01821 U.S.A.
Tel: 978-439-8410
Toll Free: 1-888-323-9681
Fax: 978-439-8430
Web site: http://www.packardbioscience.com
E-mail: [email protected]
E-mail technical services: [email protected]
For all international representatives, contact the
Packard BioScience U.S.A. office
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BioScience
A POWERFUL EASY-TO-USE SOLUTION TO YOUR
MICROARRAY DATA STORAGE AND ANALYSIS NEEDS
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BioScience