|Welcome to CKDdb|
The Chronic Kidney Disease database CKDdb is an integrated and clustered information resource that covers multi-omic studies (microRNA, genomics, peptidomics, proteomics and metabolomics) of chronic kidney disease (CKD), disease-related and diseases leading to this trait.
This resource was built by mining the existing literature and afterwards was performed a manual curation of the collected data. In order to deal with the high heterogeneity and diversity of the gathered data, a specific ontology was applied to tie together and harmonise multi-level omic studies based on gene and protein clusters (CluSO) and mapping of orthologous genes (OMAP) across species.
This database was intentionally built to allow disease pathway analysis by data-driven using a system approach, which is much more amenable and has a greater potential to provide an unbiased and novel testable hypothesis as an end-result.
The CKDdb database is a component of the work-package #1 (WP1) of the iMODE-CKD consortium that aims for the identification of the molecular determinants of established CKD. The database will incorporate existing knowledge and de novo generated data from our research partners, in order to yield biological meaning by integrating all available information and therefore has the potential to unravel and allow an in-depth understanding of the key molecular events that modulate CKD progression.
Select first letter of gene name to jump to the right entry list
A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 0 | other
|No. of total entries with extended information: 12462||No. of unique (non-redundant) molecules: 16884||Total no. of samples in Demographics file: 187|
|No. of unique studies with extended information: 12||Total no. of studies in Study reference file/table: 377||No. of unique samples in Demographics file: 187|
|Total no. of molecule entries (redundant): 49393||Total no. of unique studies: 377||No. of entries in Peptidomics file: 1396|
|Google forms||Excel spreadsheet|
|Compile date 08-30-2016||© iMODE-CKD consortium|