Genome: Difference between revisions
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Features: | Features: | ||
* easily search the scientific literature | * easily search the scientific literature/integrate diverse biological information. | ||
* build dynamic pathway models | * build dynamic pathway models | ||
* quickly analyze experimental data | * quickly analyze experimental data/Functional discovery: assign function to genes | ||
* share research and collaborate | * share research and collaborate. On the other hand, IPA is web based, so it takes time for running analyses. | ||
Start Here | Start Here | ||
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Resource: | Resource: | ||
* http://bioinformatics.mdanderson.org/MicroarrayCourse/Lectures09/Pathway%20Analysis.pdf | |||
* http://libguides.mit.edu/content.php?pid=14149&sid=843471 | * http://libguides.mit.edu/content.php?pid=14149&sid=843471 | ||
* http://people.mbi.ohio-state.edu/baguda/PathwayAnalysis/ | * http://people.mbi.ohio-state.edu/baguda/PathwayAnalysis/ | ||
Revision as of 10:31, 5 March 2013
RNA seq
Other software
dCHIP
Ingenuity
Login: There are web started version https://analysis.ingenuity.com/pa and Java applet version https://analysis.ingenuity.com/pa/login/choice.jsp.
Features:
- easily search the scientific literature/integrate diverse biological information.
- build dynamic pathway models
- quickly analyze experimental data/Functional discovery: assign function to genes
- share research and collaborate. On the other hand, IPA is web based, so it takes time for running analyses.
Start Here
Expression data -> New core analysis -> Functions/Diseases -> Network analysis
Canonical pathways |
| |
Simple or advanced search --------------------+ |
| |
v |
My pathways, Lists <------+
^
|
Creating a custom pathway --------------------+
Resource:
- http://bioinformatics.mdanderson.org/MicroarrayCourse/Lectures09/Pathway%20Analysis.pdf
- http://libguides.mit.edu/content.php?pid=14149&sid=843471
- http://people.mbi.ohio-state.edu/baguda/PathwayAnalysis/
- IPA 5.5 manual http://people.mbi.ohio-state.edu/baguda/PathwayAnalysis/ipa_help_manual_5.5_v1.pdf
- Help and supports
- Tutorials which includes
- Search for genes
- Analysis results
- Upload and analyze example data
- Upload and analyze your own expression data
- Visualize connections among genes
- Learn more special features
- Human isoform view
- Transcription factor analysis
- Downstream effects analysis