A curated ncRNAomics knowledgebase for bridging basic and clinical research in eye diseases.

Best experienced using the browsers Chrome or Firefox .

1. Main functions of the database are provided in menu bar form.
2. When click an eye disease, it will jump to the corresponding search result of the associations.
3. The statistics of the data in database. You can find more details in Statistics page.
4. The brief introduction about Nc2Eye.
5. You can see the high-frequency eye diseases and ncRNAs in the word cloud. When click a term, it will jump to the corresponding search result of the associations.
Users can browse entries based on disease name, species and ncRNA category and click on the "Details" column for more information.
1. Users can input a ncRNA or eye disease name to query related associations in Nc2Eye.
2. Nc2Eye defaults to fuzzy search. You can choose exact search if you need.
3. You can filter by ncRNA category, species and detection method.
4. Tips for the Search page.
After entering a keyword, the database will provide a result interface. You can get more information of the data by clicking the "Detail" button. For instance, when you type keyword "retinoblastoma", you can get a table as follows:
1. The collected transcriptome datasets are organized in a data table. Each association contains Diseases name, Species, Sample type, Case description, Control description, Sample size, Data type, Accession ID, Platforms and Pubmed ID.
2. Click to get more information and download the original expression profiles from GEO or ArrayExpress.
3. Users can input keywords from any column to filter the results.
The Download page allows users to download the experimentally supported ncRNA-ED association data. The data is divided into several excel files according to ncRNA category. Users can choose and download the files as required.

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