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- How will Iobion GeneTraffic
be deployed in my lab?
- What are the benefits of
the client-server model?
- What software platform
does GeneTraffic require?
- What are GeneTraffic hardware
requirements?
- What software technology
is used by Iobion GeneTraffic?
- What type of data files
does an Iobion GeneTraffic microarray project require?
- What file formats does
Iobion GeneTraffic support?
- How can I ensure that my
statistical analysis produces relevant results?
- What types of normalization
are available in GeneTraffic?
- Does Iobion GeneTraffic
support dye-reversal and other replicate hybridizations?
- How many microarrays can
an Iobion GeneTraffic server hold?
- Can I examine the microarray
image?
- How difficult is it to
obtain a detailed description of the hybridization?
- Can I visualize my data
using graphical representation methods?
- How do I annotate my projects?
- Can I relate my work to
public database annotation?
- Can I safely share data
with my colleagues?
- I don't need my data now,
but I may need them again in the future. Can I archive the
data?
1.
How will Iobion GeneTraffic be deployed in my lab?
The Iobion System is a comprehensive platform designed to
take full benefit of the client-server architectural paradigm.
Its operating environment consists of a single application
server and of one or more client computers. The server runs
application software, stores individual user preferences and
houses databases required by Iobion System applications. All
of these are accessible from the client computers distributed
over a local area network.

Iobion GeneTraffic software
consists of one comprehensive microarray data analysis application
designed for the client-server architectural model as implemented
by the Iobion System. [top]
2. What are the
benefits of the client-server model?
Iobion GeneTraffic multi-tier model
ensures accessibility and manageability of the stored information,
while preserving highest industry standards with respect to
data security and integrity. Any client computer can be used
to configure the software located on the server, which further
optimizes hardware investment and user training costs, for
increased convenience and cost-efficiency. [top]
3. What software
platform does GeneTraffic require?
No system software is required on the
GeneTraffic server?the Iobion System installation CD installs
all software necessary to run both the Iobion System and the
GeneTraffic application.
Each GeneTraffic client requires Windows
98, Windows ME, Windows NT4 or Windows 2000 as its main operating
system as well as the Microsoft Internet Explorer 5.5 browser
and Macromedia Flash 5 browser plug-in. [top]
4.
What are GeneTraffic hardware requirements?
Listed below are minimum hardware specifications required
for a successful installation of Iobion GeneTraffic, [top]
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Application
Server
- Dual
Intel Pentium processor (Pentium III, Pentium 4, Xeon)
>900 MHz
1GB RAM (2GB Recommended)
- Two
40 GB or larger IDE hard drives, Drives must be identical
model, speed and interface. (SCSI drives supported)
- CDROM-RW
Drive
- 10/100
NIC network card
- A
native parallel port (PCI to parallel port cards are
not supported)
- No
software required prior to GeneTraffic installation
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Client
Computer
- Pentium
400 MHz or faster processor
- 128
MB of memory
- Display
monitor capable of 1024x768 resolution
- MS
Windows 98/ME/2000/NT
- Microsoft
Internet Explorer 6.0 or later
- Macromedia
Flash 6 browser plug-in
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LAN
- High-quality
local area network operating at 10 Mbit transfer speed
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5.
What software technology is used by Iobion GeneTraffic?
To provide its customers with a competitively priced leading-edge
software package, Iobion Informatics relies on the firmly
established results of one of the most dynamic software initiatives
in recent yearsthe open source movement.
A custom-built kernel of Red Hat Linux,
an operating system famous for its reliability, stability
and security, lies at the core of the server's operating environment.
Bioinformatics applications hosted by the
Iobion System are served to the users by the latest version
of the Apache Web server, a fast and secure network solution.
Project data generated by the applications are stored using
the PostgreSQL object-relational database management system.
Much of the computationally intensive statistical
data analysis performed by Iobion System applications is carried
out by routines coded in R, an open source relative of the
S statistical language, known for its flexibility and power.
Support for other platforms, most notably
Solaris, is planned for the near future. [top]
6.
What type of data files does an Iobion GeneTraffic microarray
project require?
The required data files for each hybridization experiment
include two TIFF image files, generated for both dye channels,
as well as a quantification data file. [top]
7.
What file formats does Iobion GeneTraffic support?
| GenePix
Version 3 |
Axon
Instruments, Inc. |
| QuantArray
Version 3 |
Packard
BioChip Technologies, LLC |
| QuantArray
Version 2 |
Packard
BioChip Technologies, LLC |
| ScanAlyze |
Michael
Eisen, University of California |
We now support a couple of additional formats
i.e. scanalytics. Please contact us directly for details.
[top]
8.
How can I ensure that my statistical analysis produces relevant
results?
Two mechanisms are available to ensure validity of results:
outlier elimination and normalization.
It is possible to flag spots and remove
them from normalization and aggregate calculations. Flagged
spots may be those that have intensity lower than a certain
multiple of the local spot background, intensity lower than
a certain multiple of the average background, or intensity
lower than a given value.
Normalization attempts to eliminate local
data perturbance, which may be hiding statistically valid
patterns of data behavior. [top]
9.
What types of normalization are available in GeneTraffic?
Normalization of microarrays can be achieved by a variety
of methods. The normalization methods included with Iobion
GeneTraffic software can be applied on either the global or
the sub-array (grid) level. Global normalization is performed
on the array as a whole and each qualified spot is included
in the calculation. Sub-array normalization is performed on
qualified spots in the individual print-tip groups (grids,
sub-arrays, blocks) in order to account for systematic differences
caused by the movements of the arraying robot and for surface
defects on the printed slide. The following normalization
methods are available:
- Raw Intensity. Calculates a normalization
value (N value) based on the ratio of the sum total intensity
of qualified Cy3 spots to the sum total intensity of qualified
Cy5 spots.
- Log2 Ratio. Calculates an N value
that is based on the average of the log2(Cy3/Cy5) intensity
ratios of each qualified spot.
- Reference Genes. Calculates a
ratio-based N value on a smaller subset of spots that correspond
to the set of reference genes.
- Housekeeping Genes. Calculates
a ratio-based N value on a smaller subset of spots that
correspond to housekeeping genes.
- LOWESS. The LOWESS (Locally Weighted
Scatter Plot Smoother) function is a curve-fitting equation.
It performs a local fit to the data in an intensity-dependent
manner. The intensity value for each spot is normalized
based on data distribution in the immediate neighborhood
of the spots intensity (i.e. in a limited sub-range
of the intensity scale, centered on the spots intensity
value).
- Custom Value. User-defined N value.
[top]
10.
Does Iobion GeneTraffic support dye-reversal and other replicate
hybridizations?
Yes. A GeneTraffic project might involve, for example, expression
profiling of a drug treatment at several time points (time-course),
each time point being represented by a hybridization group
including several replicate dye-reversal hybridizations. [top]
11.
How many microarrays can an Iobion GeneTraffic server hold?
The number of complete microarray data sets an Iobion GeneTraffic
server can store at any given time depends on the amount of
disk space available on the server. Assuming availability
of two 40-gigabyte disks, the server can hold data from 6000
five-thousand-spot microarrays or 2,500 twenty-thousand-spot
arrays. [top]
12.
Can I examine the microarray image?
Yes, you can. At any point in the process of analyzing your
data you may consult a digitally-enhanced, false color microarray
image. [top]
13.
How difficult is it to obtain a detailed description of the
hybridization?
Not difficult at all. For multiple types of objects contained
in a hybridization, detailed description is but one click
away. For example, clicking on a spot in the microarray image
fetches the spot's unique ID, gene ID and description, spot
position on the plate, intensity and ratio almost immediately.
Range or equality queries (e.g. 'show me all spots with Cy3
intensity greater than 10,000 and log2 ratio greater than
2') bring up formatted lists of relevant genes. Every gene
name in such a list is a hyperlink to a detailed Gene Report,
showing mean log2 ratio, standard deviation, and coefficient
of variation, calculated for qualified spots; also displayed
are thumbnail images of the spots. [top]
14.
Can I visualize my data using graphical representation methods?
Yes, you can.
Seven scatter plot types are available for
immediate use. Preset 1 (default scatter plot) shows normalized
data in logarithmic scaling. Presets 2 and 3 show raw data
with and without background subtraction, allowing the user
to assess the effect of normalization and background subtraction.
Presets 4, 5 and 6 plots the data (normalized, raw, and background
subtracted respectively) in an M versus A plot (the M versus
A plot allows for rapid identification of skewed data). Preset
7 plots the normalized data in linear scaling and provides
a sense of the intensity distribution.
Also provided is an interface to carry out
hierarchical and non-hierarchical clustering of microarray
data, using a variety of distance metrics and several visualization
methods. Data sets can be imported into the clustering engine
from third-party programs or exported into formats compatible
with third-party software. [top]
15.
How do I annotate my projects?
Iobion GeneTraffic project annotation is compliant with the
Minimum Information About a Microarray Experiment (MIAME)
standard. A project consists of hybridization groups, which
in turn consist of related hybridizations. For example, a
project might involve expression profiling of a drug treatment
at several time points (time-course), each time point being
represented by a hybridization group including several replicate
dye-reversal hybridizations. The annotation of each hybridization
includes all of the protocols and all of the materials listed
in the diagram shown below. [top]

16.
Can I relate my work to public database annotation?
A detailed Gene Report is available for every gene in a GeneTraffic
project. The report provides multiple links to external gene
databases: [top]
- NCBI UniGene
- NCBI GenBank
- NCBI LocusLink
- Stanford SOURCE
- SWISS-PROT
- BLASTn NR
- BLASTn HTGS
- BLASTn dbEST
- BLASTx SWISS-PROT
- OMIM
- GeneCards
- Saccharomyces Genome Database
17.
Can I safely share data with my colleagues?
By default, when a GeneTraffic project is created, only the
owner of that project can view the data it contains. Using
permissions, users are able to collaborate in a safe and secure
manner by sharing information and data within the GeneTraffic
environment. Permission levels include: co-author (full editing
access), reviewer (read-only access) and excluded (not allowed
to access project).
For example, a principal investigator can
name several students as co-authors of the project. The principal
investigator can then define all the hybridization experiments
necessary for the completion of the project. The students,
granted sufficient privileges, can load the data for each
hybridization experiment (and, if necessary, define new hybridizations)
when the data becomes available. [top]
18. I don't need
my data now, but I may need them again in the future. Can
I archive the data?
Yes, you can. Iobion GeneTraffic allows you to archive completed
projects to tape, file, or recordable CD-ROM. All of these
are secure, reliable and cost-efficient methods of archiving
rarely used project data. Moreover, archiving old projects
allows you to reserve more space for current projects, thus
streamlining the performance of Iobion GeneTraffic. [top]
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