| Name | DPClus |
|---|
| Aliases | DPClus |
|---|
| Description | DPClus is a graph clustering software, which makes it possible to detect and visualize clusters of proteins in interaction networks which mostly represent molecular biological functional units. |
|---|
| Type | Tool |
|---|
| Main Institutes of management | NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST) |
|---|
| Country of the Institute | Japan |
|---|
| URL of the site | - |
|---|
| Interface | GUI |
|---|
| Input | Edge (Text) |
|---|
| Output | Cluster(Text) |
|---|
| Input example | Download DPClus.zip from http://kanaya.naist.jp/DPClus/, then uncompress DPClus.zip.User should click on the icon of the file "DPClus.jar" which brings in front the main window of DPClus.By clicking the "Select" button in the main window, we can open a file dialog window which can be used to browse to the file that contains the network. Users can get the file name together with its path in the text field beside the label "Enter Network FileName". Alternatively user can also type in the filename together with its path.The desired values should be typed in the text fields beside the labels “Enter density value” and “Enter cp value”respectively.Click the “DoClustering” button to start the clustering process and when it is over the message “Clustering over” appears in the text field below the “DoClustering” button. |
|---|
| Keyword | protein | interaction | network | clustering |
|---|
| Amount of the all data for download（Mbyte） | Method to obtain the all data. | 0.4|Download from http://kanaya.naist.jp/DPClus/ . |
|---|
| External resources (databases) in building the product. | None |
|---|
| Data type | Protein-function |
|---|
| Biological species in the main concern | All species |
|---|
| Conditions of use | None |
|---|
| Frequency of updates (in last two years) | No update for more than 2 years |
|---|
| Last date of updates (date of confirmation) | 2006/00/00 (2019/07/08) |
|---|
| Main IDs used in the products | N/A |
|---|
| How to make a link to get access to each IDs. | None |
|---|
| external databases to which this database/tool have links | N/A |
|---|
| Published papers (PubMed IDs) | pmid:16613608 |
|---|
| Operational Status | Closed |
|---|
