Array Studio User Guide

Version 4.0

 

 

10/31/2010

Omicsoft Corporation

Omicsoft Support

Contents

Introduction. 13

What is Array Studio?. 13

Features. 13

Benefits. 13

Who Should use Array Studio. 14

Getting Started. 15

Requirements. 15

Installing Array Studio. 15

ClickOnce (Recommended). 15

Offline Mode. 16

Closed Environment Mode. 16

Learning to Use  Array Studio. 16

Documentation. 16

Support. 18

Array Studio Interface. 19

Data Organization. 19

Solution. 19

Project. 20

-Omic data. 20

Design. 20

Data folder. 20

Table data. 20

Views. 20

List folder. 20

Lists. 20

User Interface. 20

Solution Explorer. 21

Workflow.. 21

Data Viewer. 22

Details Window.. 23

View Controller. 24

View customization (from task or legend). 24

Exporting. 24

Concepts/Conventions. 24

Data Structure. 24

Filtering. 25

Selection (click, drag or lasso). 25

Hot track. 25

Broadcasting. 25

Microarray. 26

Preprocess. 26

Filter. 26

Normalize. 26

Impute. 26

Transform.. 26

Combine. 26

Summarize. 26

Summary Statistics. 26

Pairwise Correlation. 26

Missing Pattern. 26

Kernel Density. 26

Generate Contrast Data. 27

QC. 27

Correlation-based QC. 27

Model-based Outlier Detection. 27

Principal Component Analysis. 27

QC Wizard. 27

Inference. 27

General Linear Model 27

Gene Set Enrichment Analysis. 27

Cox Model 27

Standard Tests. 27

Other Tests. 27

Summarize Inference Report. 27

Pattern. 27

Find Neighbors. 27

Correlate Covariate. 27

Spectral Map Analysis. 27

Hierarchical Clustering. 27

NMF Clustering. 28

Cluster Observations. 28

Cluster Variables. 28

Gene Shaving. 28

Prediction. 28

Single Variable Classification. 28

Classification. 28

Predict Class. 28

Regression. 28

Predict Response. 28

Views. 28

BoxPlotView.. 28

FullTableView.. 28

GeneHeatmapView.. 28

GeneProfileView.. 28

GenomeView.. 28

HeatmapTableView.. 28

HeatmapView.. 28

HistogramView.. 28

LineView.. 28

ObservationProfileView.. 28

ObservationTableView.. 28

PairwiseScatterView.. 28

ProfileView.. 28

RBoxPlotView.. 28

RegionView.. 28

ScatterView.. 29

TableView.. 29

VariablePariwiseScatterView.. 29

VariableScatter3DView.. 29

VariableScatterView.. 29

VariableTableView.. 29

VariableView.. 29

VennDiagramView.. 29

Genotyping. 29

Preprocess. 29

Recode Genotype Data. 29

Recode SNP Data. 29

Create SNP LD Track. 29

Summarize/QC. 29

Filter. 29

Marker Statistics. 29

Subject Statistics. 29

Compare Genotypes. 29

Genotyping Errors. 29

IBS-based QC. 29

SNP-based QC. 29

Pattern. 29

Linkage Disequilibrium.. 29

Principal Component Analysis. 29

IBS/IBD Estimation. 29

Single Marker Association. 30

Basic Association. 30

Quantitative Trait (SNP Effect). 30

Quantitative Trait (SNP*Treatment). 30

Binary Trait (SNP Effect). 30

Stratified Association. 30

Quantitative Trait (General). 30

Categorical Trait. 30

Survival Trait. 30

Repeated Measure Trait. 30

Two Marker Association. 30

Basic Association. 30

Quantitative Trait. 30

Categorical Trait. 30

Survival Trait. 30

Dose Data Association. 30

Quantitative Trait. 30

Categorical Trait. 30

Survival Trait. 30

Repeated Measure Trait. 30

Probability Data Association. 30

Quantitative Trait. 30

Categorical Trait. 30

Survival Trait. 30

Repeated Measure Trait. 30

Annotation. 30

SNP Annotations. 31

R. 31

Run R Script (Genotype Data). 31

Views. 31

AlleleSignalView.. 31

FullTableView.. 31

HistogramView.. 31

ObservationTableView.. 31

SurvivalView.. 31

TableView.. 31

VariableTableView.. 31

VariableView.. 31

VennDiagramView.. 31

Copy Number Variation (CNV). 31

Normalize CNV Data. 31

CNV Segmentation. 31

LOH Segmentation. 31

Generate Segment Report. 31

Filter. 31

Summary Statistics. 31

Summary Statistics By Segment. 31

Principal Component Analysis. 31

Association. 31

General Linear Model 31

Quantitative Trait. 32

Categorical Trait. 32

Survival Trait. 32

Repeated Measure Trait. 32

Generate Gene Level Data. 32

Generate Segment Level Data. 32

Views. 32

BAlleleFrequencyTableView.. 32

BoxPlotView.. 32

FullTableView.. 32

GenomeView.. 32

HeatmapView.. 32

ObservationTableView.. 32

PairwiseScatterView.. 32

RBoxPlotView.. 32

RegionView.. 32

ScatterView.. 32

SnpTableView.. 32

TableView.. 32

VariableTableView.. 32

VariableView.. 32

VennDiagramView.. 32

WholeGenomeView.. 32

Next Generation Sequencing (NGS). 32

Build Reference Library. 32

Build Gene Model 33

QC. 33

Base Distribution. 33

Quality BoxPlot. 33

Summarize. 33

Flag Summary Statistics. 33

Coverage Summary Statistics. 33

Mapping Summary Statistics. 33

Subset. 33

Merge. 33

Convert. 33

Export. 33

RNA-Seq. 33

Report Exon Junctions. 33

Report Unannotated Peaks. 33

Report Novel Isoforms. 33

Generate Mutation Data. 33

DNA-Seq. 33

Generate Mutation Data. 33

Generate SNP Data. 33

Annotation. 33

Annotate Mutation Report. 33

Fusion. 33

Map Fusion Reads (Single End Illumina). 33

Report Fusion Genes (Paired End). 33

Advanced Mapping. 34

Partial Mapping. 34

ExonArray. 34

Principal Component Analysis. 34

QC Wizard. 34

Exon Level Linear Model 34

Alternative Splicing ANOVA.. 34

Generate Transcript Level Data. 34

Annotation. 34

Molecular Signatures. 34

DAVID.. 34

Gene Ontology. 34

Upload UCSC Custom Track. 34

Ingenuity. 34

Search. 34

View Canonical Pathway. 34

Create New Pathway. 34

Upload Data. 34

R. 34

Run R Script (Microarray Data). 34

Views. 34

AlignmentTableView.. 34

TableView.. 34

Integration. 34

MicroArray/MicroArray Integration. 34

CNV/MicroArray Integration. 35

Segment/MicroArray Integration. 35

Summarize Duplex MicroArray Data. 35

Table Functions. 35

Rows. 35

Sort Rows. 35

Reorder Rows. 35

Reorder Rows By List. 35

Add Rows. 35

Group Rows. 35

Delete Rows. 35

Row Properties. 35

Columns. 35

Sort Columns. 35

Reorder Columns. 35

Add Columns. 35

Combine Columns. 35

Paste Columns. 35

Delete Columns. 35

Column Properties. 35

Reorder Factor Levels. 35

Change Case. 35

Parse Column. 35

Subset. 35

Split. 35

Transpose. 36

Stack. 36

Unstack. 36

Concatenate. 36

Merge. 36

Cartesian. 36

Join. 36

Summarize. 36

Summarize Missing Pattern. 36

Estimate Density. 36

Principal Component Analysis. 36

Correlation Analysis. 36

Contingency Table Analysis. 36

Hierarchical Clustering. 36

-OMIC Data Manipulation. 36

Subset. 36

Random Subset. 36

Split. 36

Merge. 36

Concatenate. 36

Delete. 36

Sort Variables. 36

Sort Observations. 36

Export -Omic Data. 37

Export Genotype Data. 37

Upload To GeneGo. 37

Tools. 37

Run Script. 37

Run Parameterized Script. 37

Affymetrix. 37

Generate Affymetrix CEL Report. 37

Generate Affymetrix MAS5 Report (3' IVT Arrays). 37

Two Chip Analysis (3' IVT Probe Level). 37

Merge Affymetrix AB Chips. 37

Generate Custom Affymetrix CDF Library. 37

Generate Custom Affymetrix SNP CDF Library. 37

Pipeline - Backup CEL Files. 37

Pipeline - Batch Process CEL Files. 37

Pipeline - Export Inference Reports. 37

Nimblegen. 37

Generate Raw Data Report. 37

Generate Expression Annotation. 37

Generate CGH Annotation. 37

Generate ChIP-chip Annotation. 37

Generate Methylation Annotation. 37

Data. 37

Download GEO Data. 37

Manage RT-PCR Raw Data. 38

Transpose Table Files. 38

Merge Text Files By Column. 38

Sort Table Files. 38

Data Conversion. 38

DOE. 38

Sample Size and Power - Two Samples. 38

Sample Size and Power - K Samples. 38

Annotation. 38

Build Custom Annotation. 38

Build Custom Affymetrix Annotation. 38

Update Annotations. 38

Migration. 38

Convert Resolver Experiments. 38

R Integration. 38

Set R Script Directory. 38

Install RCOM... 38

Preferences. 38

 


    

Introduction

What is Array Studio?

Array Studio is a software package which provides state of the art statistics and visualization for the analysis of high dimensional quantification data (e.g. Microarray or Taqman data) and genotype data (e.g. SNP data, Copy Number data).  It provides the fastest, easiest, and most powerful solution for -omic data analysis on the market. More than 400 features have been implemented based on feedback provided by industrial and academic users.

Features

·         Array Studio includes over 40 unique customizable views, all of which are fully interactive (e.g. selection, zoom, hot track, etc.) and highly customizable (e.g. change axis, colors, shapes, etc.). Most of these views also have trellis support. All the views can be exported as PowerPoint slides or Acrobat PDFs by a single mouse click. The graphs are editable in PowerPoint.

·         More than 50 analytical modules were designed for ease of use so that biologists can function at near the level of informatics specialists. The high dimensional linear modeling module provides the complete statistical analysis for multiple ANOVA, ANCOVA, repeated measure, split plot and a variety of other experimental designs. Non-negative matrix factorization and spectral map analysis are two of the many data exploration modules in the software. Data mining modules provide comprehensive support for classification (e.g. SVM and KNN) and regression (e.g. LASSO and Neural Network), with built-in variable selection and honest cross validation. Takes seconds or minutes instead of hours to do an analysis on a regular laptop computer!

·         Array Studio also provides comprehensive support for project management, data manipulation, quality control, pathway analysis, gene ontology analysis, and power analysis. For industrial users, an internal audit trail and scripting are useful for data integration and customized analysis pipeline.

·         Array Studio integrates with Array Server, Omicsoft’s solution for MicroArray/CNV/SNP data storage, search and integration.  Easily retrieve projects from Array Server, and/or publish back to the server for storage and searching purposes.

Benefits

Who Should use Array Studio

Array Studio is designed for bioinformaticians and biologists for analysis of microarray, SNP, Copy Number Variation (CNV), and Next Gen Sequencing (NGS) data. For the bioinformatician, Array Studio should provide a full workflow for importing and normalization of data, quality control, analysis (full statistical models), and clustering and pattern analysis. For the biologist, Array Studio can provide a powerful way to easily visualize their data, as well as providing workflows for suggested analysis, for those not familiar with the intricacies of data analysis. Array Studio supports all popular microarray, SNP/Genotype, Exon/gene arrays, CNV/CGH, RT-PCR and Next Generation Sequencing platforms.

Getting Started

Requirements

Array Studio requires Microsoft .NET 2.0 framework.  As a result, most versions of Array Studio require that the user have administrative privileges to install .NET 2.0 Framework, or the ability to do so before installing Array Studio. By default, the installation page for Array Studio will automatically install .NET 2.0 Framework if the user does not have this installed previously.

While Array Studio does not have any specific requirements for memory or processor speed, it is recommended that the user have at least 1gb of RAM for microarray analysis, and at least 2gb of RAM for ExonArray, SNP/Genotyping, and CNV analysis.

For microarray analysis, hard drive space is not an issue, however the user should ensure that they have sufficient hard drive space for larger ExonArray, SNP/Genotyping, and CNV analysis.  Extremely large datasets, such as Dose or Probability SNP data, utilize a large amount of hard drive space. The user should ensure that there is sufficient space on the hard drive for such analyses.

For NGS analysis in 64-bit mode 8 GB of RAM is recommended, for 32-bit mode 2 GB of RAM is recommended. For hard drive space, both your Omicsoft temp folder and the data for the analysis must reside on a hard drive that has 3-times the amount of free space as the size of the raw data files.

The Omicsoft software home directory is typically located in the user's My Documents folder, under the Omicsoft folder.  This folder contains all of the user's annotations, favorites, Ontology, Refseq, Ensembl, Hapmap data, and more.  In addition, this folder is used as the temporary working directory.  If the user is concerned about space on the hard drive containing this folder, it can be changed by going to the Tools menu | Preferences | Advanced | Omicsoft home directory.

Installing Array Studio

Multiple methods are available to install Array Studio. The user should choose the method that best suits them depending on their particular computing environment. The installation options are as follows:

ClickOnce (Recommended)

If you will be running Array Studio from an internet-connected computer and would like to always be running the latest version you may use ClickOnce to access the latest online version of Array Studio. Most corporate and academic users are advised to choose this option. Every time you open Array Studio on your computer, it will connect to the internet and ensure that you are running the latest version. The Microsoft .NET 2.0 Framework will be installed if not previously installed on your computer. Use the following URL to launch the online version of Array Studio: http://www.omicsoft.com/publishstudio.php

Note: You must be running Internet Explorer version 6 or 7, or Firefox with the FFClickOnce plugin. If using Firefox, make sure to click Run ClickOnce application and not Save File.

The Firefox FFClickOnce plugin can be installed from the following URL:

https://addons.mozilla.org/en-US/firefox/addon/1608/

Offline Mode

If you plan to run Array Studio in offline mode and are not concerned about always having the latest version you should download the Array Studio Windows installer. This version will install a program that can be uninstalled via the standard windows control panel, however you are not guaranteed to always be running the latest version of Array Studio. The .NET 2.0 Framework will be installed if not previously installed on your computer. The Array Studio Windows installer can be downloaded from the following URL:

http://www.omicsoft.com/software/ArrayStudio/ArrayStudioInstaller.msi

Closed Environment Mode

If you are working in a closed corporate environment you should download our standalone .exe file, which can be used to run Array Studio. The hardware requirements for this version of Array Studio are listed in the "Requirements" section of this guide. The stand-alone .exe file can be accessed from the following URL:

http://www.omicsoft.com/software/ArrayStudio/ArrayStudio.exe

Note: This version is updated infrequently, and should only be used if the user has no access rights to install software.

Learning to Use  Array Studio

Omicsoft believes that besides providing the best products, it is important to provide the best support as well.  From our rapidly expanding knowledge base to the ability to easily get one-on-one personal web meetings, Omicsoft aims to provide the user with a top support experience.

Documentation

Tutorials

The Omicsoft website offers tutorials for the various Array Studio modules including SNP Data Analysis, Affymetrix Data Analysis, CNV Analysis, ExonArray Data Analysis and a Taqman demonstration. These tutorials are a great beginning guide to using Array Studio. They Include links to download sample datasets, along with step-by-step directions for carrying out the various analysis methods.

Knowledgebase

The Omicsoft knowledge base is a user-friendly information center. Our support team keeps the Knowledge Base up-to-date with common and complex questions that we receive from our customers. If you need a place to start when you have questions or for troubleshooting, you can start searching here with a term of interest or you can browse by pre-defined categories. The Knowledge Base can be accessed by selecting the "Help Center" tab at the top of the Array Studio page:

Help Documents

Context sensitive help documents are available throughout Array Studio and can be accessed by simply using a right-mouse-click on any given menu or sub-menu item or selecting the "Help" button on a pop-up window.

 

White Papers

White Papers are available for the various models, analysis and specifications used in Array Studio. These White Papers can be accessed from "Resources" section or at the Omicsoft website URL: http://www.omicsoft.com/whitepapers.php

Support

Contact Customer Support

Our regular support  hours are Monday through Friday 9:00 AM through 5:00 PM Eastern Time.  Emailed technical support requests are responded to on the same business day, and in most cases within a few hours.

Email: support@omicsoft.com

Phone: 1-888-259-OMIC (1-888-259-6642) Option 1

Live Help

A "Live Help" option is available from the Omicsoft webpage. Selecting this "Live Help" button will open a "Webex Live Support" window. Here you can enter your contact information and Array Studio question which will then be sent to a monitored support queue. An Omicsoft support person will respond as they become available.

Personal Web Meeting

You can make a request to see a live demonstration of an Omicsoft product (usually 1 hr is required). These one-on-one meetings are conducted using the telephone or VOiP and your favorite web browser. This format enables us to turn the presentation over to you so you can show us what is happening on your computer screen (with your permission of course). This allows us to safely guide you through analyses on your own data sets without having to exchange any data or files.

Array Studio Interface

Data Organization

Data in Array Studio is arranged in an hierarchal fashion.

Solution

Solution can be thought of as the  current session as the software is being used. The solution is the placeholder where new or existing projects are added. Multiple projects can be opened in a given Solution.

The Solution is the highest level within the data organization hierarchy in Array Studio.

You can open multiple projects in the solution

Each project can contain multiple datasets

You can easily organize your data and lists by folders

You can rename any data/view/folder

A lot of context sensitive functions by right clicking

Commonly used right-click functions

Add view

Import design

Import annotation

New folder

Copy/paste views

Export

View audit trail

View source

 

 

Project

Distributed project

 save all data/lists in a folder (recommended for Exon Array/SNP/CNV)

Simple project

save all data/lists in a single file (recommended for MicroArray/Taqman)

-Omic data

Design

Data folder

Table data

Views

List folder

Lists

User Interface

The Array Studio interface is designed with a combination of tabs, windows and menus for navigating and accessing the various sections and functions of the software.

 

The tabs across the top of the workspace include Local Analysis (Array Studio), Server Explorer (Array Server) and Help Center.

Upon selecting the "Local Analysis" tab, the Array Studio workspace is displayed. This workspace is comprised of four distinct windows as indicated below (Workflow/Solution Explorer, Data viewer, Details window, View controller). These windows can be independently opened/closed or moved within the workspace. 

The workspace windows can also be controlled from the View menu. Selecting  the View | Reset Windows option will reset the Array Studio workspace to the default window layout.

Workflow/Solution Explorer

The Workflow/Solution Explorer Window should be visible on the left side of the screen. If this window is not visible, go to the View Menu | Show Workflow. The Workflow Window should appear similar to the screen shot here.

Workflow

The Workflow Window should be visible on the left side of the screen. If the Workflow Window is not visible, go to the View Menu | Show Workflow. The Workflow Window should appear similar to the screen shot here.

The Workflow Window is especially useful for new users. It provides a “guide” for running different types of analysis. Clicking the Workflow dropdown box displays five different workflow options (Microarray, ExonArray, RT-PCR, Genotyping and CNV).

 

Notice that the Microarray Workflow is separated into different sub-sections: Getting started, Manage data, Preprocess, Quality control, Statistical inference, and Pattern recognition. These options will vary depending on which workflow is selected.

 

 

While it is possible to access all of these functions via the menu commands in Array Studio, the Workflows are designed to make it easier for the new users to work through their data in a stepwise fashion.

Solution Explorer

The Solution explorer can be accessed by selecting the bottom tab if viewing the Workflow Window. If this window is not visible, go to the View Menu | Show Solution Explorer. The Solution Explorer  Window should appear similar to the screen shot here.

 

You can open multiple projects in the solution. Each project can contain multiple datasets. You can easily organize your data and lists by folders

You can rename any data/view/folder

Many context sensitive functions are available by right mouse button clicking. Examples include:

·         Add view

·         Import design

·         Import annotation

·         New folder

·         Copy/paste views

·         Export

·         View audit trail

·         View source

Data Viewer

Views are different from graphs

They are fully interactive and customizable

The status is stored by projects

You can open/close views any time

Most views can be saved as PDF/EMF/PowerPoint/Excel

Based on tabs, but you can float any view

Drag the tabs to split the viewer

F10 to float tabs

Mouse over to show the project name and data name

Your active view (not active project) will determine the default selected data

 

Details Window

Details window show the details for selected variables or observations (depending on the context)

 

View Controller

Always use view controller to customize your view

Task tab: view sensitive menus to customize your view

Variable tab: filter the variables (-omic data)

Observation tab: filter the observations (-omic data)

Filter tab: filter the observations (table data)

Legend: show legend information

Filter status and customized filters are saved with projects, and the filters might be inherited when generating new data!


View customization (from task or legend)

Exporting

Concepts/Conventions

Data Structure

High dimensional data structure (L shape structure)

·         Y is the measurement. There can be millions of rows and thousands of columns in Y

·         X is key for statistics and visualization

·         A is key for bioinformatics and visualization

 

 

Data Types Supported by Omicsoft

Data type

Variable type

Cell value type

Expression data

or expression-like data

Transcript, probeset, protein, Compound, etc.

Continuous value (abundance)

ExonArray data

Exon

Continuous value (abundance)

CNV data

CNV marker

Continuous value (abundance or ratio)

ChIP-chip data

Site

Continuous value (abundance)

Methylation

Site

Continuous value (abundance)

SNP data

SNP marker

SNP genotype

Genotype type

Mutli-allelic marker

Genotype

Mutation data

Site

Frequency vector

SNP dose data

SNP marker

Continuous value

SNP probability data

SNP marker

Genotype frequency vector

NGS data

???

???

 

Filtering

Selection (click, drag or lasso)

Hot track

Broadcasting

 

Microarray

Preprocess

Filter

Normalize

Impute

Transform

Combine

Summarize

Summary Statistics

Pairwise Correlation

Missing Pattern

Kernel Density

kernel density estimation (or Parzen window method) is a non-parametric way of estimating the probability density function of a random variable. As an illustration, given some data about a sample of a population, kernel density estimation makes it possible to extrapolate the data to the entire population.

Generate Contrast Data

QC

Correlation-based QC

Model-based Outlier Detection

Principal Component Analysis

QC Wizard

Inference

General Linear Model

Gene Set Enrichment Analysis

Cox Model

Standard Tests

One-way ANOVA

Two-way ANOVA

Two-way Nested ANOVA

Other Tests

One Group Test

Two Group Test

Paired Group Test

Multiple Group Test

Proportion Data Logistic Regression Model

Summarize Inference Report

Pattern

Find Neighbors

Correlate Covariate

Spectral Map Analysis

Hierarchical Clustering

NMF Clustering

Cluster Observations

Cluster Variables

Gene Shaving

Prediction

Single Variable Classification

Classification

Predict Class

Regression

Predict Response

Views

BoxPlotView

FullTableView

GeneHeatmapView

GeneProfileView

GenomeView

HeatmapTableView

HeatmapView

HistogramView

LineView

ObservationProfileView

ObservationTableView

PairwiseScatterView

ProfileView   

RBoxPlotView

RegionView

ScatterView

TableView

VariablePariwiseScatterView

VariableScatter3DView

VariableScatterView

VariableTableView

VariableView

VennDiagramView

Genotyping

Preprocess

Recode Genotype Data

Recode SNP Data

Create SNP LD Track

Summarize/QC

Filter

Marker Statistics

Subject Statistics

Compare Genotypes

Genotyping Errors

IBS-based QC

SNP-based QC

Pattern

Linkage Disequilibrium

Principal Component Analysis

IBS/IBD Estimation

Single Marker Association

Basic Association

Quantitative Trait (SNP Effect)

Quantitative Trait (SNP*Treatment)

Binary Trait (SNP Effect)

Stratified Association

Quantitative Trait (General)

Categorical Trait

Survival Trait

Repeated Measure Trait

Two Marker Association

Basic Association

Quantitative Trait

Categorical Trait

Survival Trait

Dose Data Association

Quantitative Trait

Categorical Trait

Survival Trait

Repeated Measure Trait

Probability Data Association

Quantitative Trait

Categorical Trait

Survival Trait

Repeated Measure Trait

Annotation

SNP Annotations

R

Run R Script (Genotype Data)

Views

AlleleSignalView

FullTableView

HistogramView

ObservationTableView

SurvivalView

TableView

VariableTableView

VariableView

VennDiagramView

Copy Number Variation (CNV)

Normalize CNV Data

CNV Segmentation

LOH Segmentation

Generate Segment Report

Filter

Summary Statistics

Summary Statistics By Segment

Principal Component Analysis

Association

General Linear Model

Quantitative Trait

Categorical Trait

Survival Trait

Repeated Measure Trait

Generate Gene Level Data

Generate Segment Level Data

Views

BAlleleFrequencyTableView

BoxPlotView

FullTableView

GenomeView

HeatmapView

ObservationTableView

PairwiseScatterView

RBoxPlotView

RegionView

ScatterView

SnpTableView

TableView

VariableTableView

VariableView

VennDiagramView

WholeGenomeView

Next Generation Sequencing (NGS)

Build Reference Library

Build Gene Model

QC

Base Distribution

Quality BoxPlot

Summarize

Flag Summary Statistics

Coverage Summary Statistics

Mapping Summary Statistics

Subset

Merge

Convert

Export

RNA-Seq

Report Exon Junctions

Report Unannotated Peaks

Report Novel Isoforms

Generate Mutation Data

DNA-Seq

Generate Mutation Data

Generate SNP Data

Annotation

Annotate Mutation Report

Fusion

Map Fusion Reads (Single End Illumina)

Report Fusion Genes (Paired End)

Advanced Mapping

Partial Mapping

ExonArray

Principal Component Analysis

QC Wizard

Exon Level Linear Model

Alternative Splicing ANOVA

Generate Transcript Level Data

Annotation

Molecular Signatures

DAVID

Gene Ontology

Upload UCSC Custom Track 

Ingenuity

Search

View Canonical Pathway

Create New Pathway

Upload Data

R

Run R Script (Microarray Data)

Views

AlignmentTableView

TableView

Integration

MicroArray/MicroArray Integration

CNV/MicroArray Integration

Segment/MicroArray Integration

Summarize Duplex MicroArray Data

Table Functions

Rows

Sort Rows

Reorder Rows

Reorder Rows By List

Add Rows

Group Rows

Delete Rows

Row Properties

Columns

Sort Columns

Reorder Columns

Add Columns

Combine Columns

Paste Columns

Delete Columns

Column Properties

Reorder Factor Levels

Change Case

Parse Column

Subset

Split

Transpose

Stack

Unstack

Concatenate

Merge

Cartesian

Join

Summarize

Summarize Missing Pattern

Estimate Density

Principal Component Analysis

Correlation Analysis

Contingency Table Analysis

Hierarchical Clustering

-OMIC Data Manipulation

Subset

Random Subset

Split

Merge

Concatenate

Delete

Sort Variables

Sort Observations

Export -Omic Data

Export Genotype Data

Upload To GeneGo

Tools

Run Script

Run Parameterized Script

Affymetrix

Generate Affymetrix CEL Report

Generate Affymetrix MAS5 Report (3' IVT Arrays)

Two Chip Analysis (3' IVT Probe Level)

Merge Affymetrix AB Chips

Generate Custom Affymetrix CDF Library

Generate Custom Affymetrix SNP CDF Library

Pipeline - Backup CEL Files

Pipeline - Batch Process CEL Files

Pipeline - Export Inference Reports

Nimblegen

Generate Raw Data Report

Generate Expression Annotation

Generate CGH Annotation

Generate ChIP-chip Annotation

Generate Methylation Annotation

Data

Download GEO Data

Manage RT-PCR Raw Data

Transpose Table Files

Merge Text Files By Column

Sort Table Files

Data Conversion

.gen -> .mldose

.gen -> .mlprob

 

DOE

Sample Size and Power - Two Samples

Sample Size and Power - K Samples

 

Annotation

Build Custom Annotation

Build Custom Affymetrix Annotation

Update Annotations

Migration

Convert Resolver Experiments

R Integration

Set R Script Directory

Install RCOM

Preferences