Example 1 |
In this example we want to find all reactions in which the G-protein Ras is involved. We click on REACTION and enter Ras as the search term and choose Name as the Quick Search Field. The result will be a long list of entries (This example output list is not operable). |
Extended SearchThe extended search function allows you to save your query and combine it with an unlimited number of other queries using logical operators. |
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NEW | Start a new search |
AND |
AND will reduce the result by an additional criterion. In our example, Ras AND semantic will give us all reaction entries that belong to both categories, e.g. all semantic entries concerning Ras. |
NOT | NOT will reduce your result set as shown in example 2. |
OR |
OR will increase the result by adding a second category. A query for Ras OR PI3K will result in all entries either with Ras or with PI3K. |
In this manner you can save and combine as many queries as you like. |
Example 2 |
We run the same query as in example 1, but enter ras_search as the name for the query. After getting the same result as before, we start another query by clicking on REACTION again. Now we enter mechanistic as the search term and Type as the search field. After that we choose the query ras_search instead of last.search and check the checkbox NOT. If we submit the query, the search engine will perform a "reactions with Ras but NOT mechanistic" query. Looking at the result, the mechanistic reactions are gone. |
Metacharacter | Example | |
. | replaces any single character | Cdk.(h) as a search term finds all human Cdks (Cdk1(h), Cdk2(h),...). |
[...] | defines a class of characters that are allowed at this position | trans[ac] finds transactivation or transcription, but not transregulation |
[^...] | defines a class of characters that are not allowed at this position | STAT[^3-6] retrieves only STAT1 and STAT2, but not STAT3, STAT4, STAT5, and STAT6 |
* | quantifier, allows none or any number of the preceding character | trans.*activator retrieves 'transcriptional activator', 'trans-activator', and 'transcription activator' |
^ | stands for the beginning of a line | ^Smith finds all references with a first author named Smith |
\character | "masks" character if it is a metacharacter, so that it can be used as a "normal" character in the search term. | Cdk1\(h\) |
Search for pathways with a list of moleculesThis search function should be applied when you have a list of molecules and you want to find out which pathways they are involved in. The mapping of your list to the canonical pathways in the pathway flatfile is a two-step procedure:
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Further Query ExamplesWhen you are looking for disease-related molecules and their signaling behavior, use comments as the search field. You will get the best results, if you enter one of the keywords which cover a broad range of the most common diseases. |
Example 3 | To find all human molecules with an annotation containing the keyword inflammation, we can run a query with this keyword as the search term and comments as the search field. We have to combine this query with a second search (term: human, field: Organism species) using the AND operator. |
If you are interested in which molecules reside in a certain subcellular compartment, use location positive as the search field. TRANSPATH® uses the same vocabulary for subcellular structures as the ontology cellular compartment from the Gene OntologyTM Consortium (you can find several browsers for this ontology on the website).
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Query Analyzer |
An example of how you can analyze your query result lists for common molecules or reactions in the vicinity of the signaling network is described in detail for gene expression array data and the ArrayAnalyzerTM. This functionality allows you to cluster molecules or reactions and to identify possible key nodes in signaling networks. |