ExPlain

About ExPlain:

The ExPlain Analysis System promotes biological interpretation of high throughput experiments like microarrays, proteomic data, and ChIP-chip experiments. The intuitive workflow allows systematic creation of experimentally testable hypothesis for both gene transcription regulation and signalling networks. ExPlain utilizes the functional and structural protein data contained in TRANSFAC, TRANSPATH and HumanPSDTM products to expedite the creation power in silico experiments. Data quality is ensured through accurate full text manual curation of the scientific literature.

ExPlain facilitates the following types of analysis:
- Functional classification according to GO terms, diseases terms, tissue/organ expression, and signalling pathways
- Mapping of putative TF binding sites on promoters in focus
- Construction of promoter modules as combinations of individual binding sites and composite regulatory elements, thus suggesting TFs providing common regulation of differentially expressed genes
- Identification of key molecules upstream of TFs (kinases, adaptor proteins, receptors) that might be responsible for the coordinated regulation of the suggested TFs

Using ExPlain on this server

ExPlain records all results of searches to user-specific areas. The main ExPlain web page will require logging in with your NIH domain username and password (the same ones used for ITAS, Exchange Email, and my.nih.gov). Enter your username without the prefix (i.e. joeuser, NOT nih\joeuser).

This is a secure server with encrypted communications. When you connect to an application on this server, you may see a popup window about the certificate for this website. Accept the certificate and continue.

Results of Transpath, ExPlain and Transfac searches will be stored on the server for one month, and will be deleted after that.

The databases and tools on this server are available to all NIH personnel. TransFac, TransPath and ExPlain were developed by BioBase International. This server is maintained by the Helix Systems, CIT, NIH.