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 11:31, 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:

DAVID Bioinformatics Resource