Name | RnR |
Aliases | Regulatory-network Research |
Description | Here is a database for the prediction of gene-transcriptional and metabolite-accumulative regulation in T87 cultured cells. The database is based on 214 DNA microarray, 222 GC-MS, and 202 UPLC-MS assays. (cited from the original site) |
Type | DB |
Main Institutes of management | Kazusa DNA Research Institute (KDRI) |
Country of the Institute | Japan |
URL of the site | http://webs2.kazusa.or.jp/kagiana/rnr/ |
Interface | GUI(SVG) |
Input example | STEP1:Input the AGI code "At5g61420" in the text box. STEP2:Push the image on the down side of the page. |
Keyword | Regulatory network | T67 | DNA microarray | GC-MS | UPLS-MS | Arabidopusis |
Amount of the all data for download(Mbyte) | Method to obtain the all data. | 0|None |
External resources (databases) in building the product. | TAIR |
Data type | Metabolite repression |
Biological species in the main concern | Arabidopsis thaliana [Taxonomy_id: 3702, thale cress] |
Conditions of use | None |
Frequency of updates (in last two years) | 2 |
Last date of updates (date of confirmation) | 2009/12/24 (2019/07/03) |
Main IDs used in the products | AGI code | a gene name | a compound name |
How to make a link to get access to each IDs. | None |
external databases to which this database/tool have links | TAIR |
Published papers (PubMed IDs) | None |
Operational Status | available |