Try it with the following examples: [ Keyword ] [ Keywords (AND) ] [ Keywords (OR) ] [ Genes ]
GUILDify uses network-topology based prioritization algorithms in GUILD to score relevance of gene products with respect to given keywords. First, BIANA knowledge base containing data integrated from publicly available major data repositories is queried for gene products associated with the keywords. Next, these gene products are fed to a species-specific interaction network (created using BIANA) as seed proteins. Finally, a score of relevance for each gene product in the network is calculated by the prioritization algorithm. See documentation page for details.
Restrictions - No commercial use policy GUILDify is free for academic users, however commercial use is not allowed. By using GUILDify you accept to abide with this restriction.Querying tips
- - Grouping keywords using quotations
- When the keywords are quoted together, GUILDify will only match entries that contain the quoted keywords together in their description. For instance, "Alzheimer disease" (with quotation) will retrieve entries containing "alzheimer" AND "disease", whereas Alzheimer disease (without quotation) will retrieve entries containing "alzheimer" OR "disease".
- - User-specified genes using semicolons
- If the query contains ";", it will be considered as a list of genes separated by semicolons (e.g., TP53; BRCA1; BRCA2).
Retrieve Results
Demo
Click here for a sneak peek of GUILDify result page. This page is produced running a combination of NetScore (# of iterations: 2, # of repetitions: 3), NetZcore (# of iterations: 5) and NetShort algorithms with all seeds retrieved using "alzheimer" as the keyword.
Release info
Current version of GUILDify uses BIANA integrated database release from March 2013 (includes UniProt, GO, OMIM, Drugbank, HPRD, IntAct, DIP, BioGrid, MPACT and Reactome databases). Please contact us in case you need to access data from the previous release (from June 2011 ).
| Database Name | Database Version |
|---|---|
| SWISSPROT | Mar 2013 |
| TREMBL | Mar 2013 |
| OMIM | Jul 2013 |
| GO | Jun 2013 |
| DRUGBANK | Jul 2013 |
| BIOGRID | Jan 2013 |
| DIP | Jan 2013 |
| HPRD | Apr 2010 |
| INTACT | Jan 2013 |
| MINT | Dec 2011 |
| MPACT | Oct 2008 |
| REACTOME | Dec 2012 |