Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://codex.stemcells.cam.ac.uk/
Full name:
Description: CODEX is a comprehensive and functional compendium of Next Generation Sequencing experiments.
Year founded: 2015
Last update: NA
Version: v1.0
Accessibility:
Manual:
Accessible
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Country/Region: United Kingdom

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Cambridge
Address: Cambridge CB2 0XY, UK
City: Cambridge
Province/State:
Country/Region: United Kingdom
Contact name (PI/Team): Berthold Gottgens
Contact email (PI/Helpdesk): bg200@cam.ac.uk

Publications

25270877
CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities. [PMID: 25270877]
Sánchez-Castillo M, Ruau D, Wilkinson AC, Ng FS, Hannah R, Diamanti E, Lombard P, Wilson NK, Gottgens B.

CODEX (http://codex.stemcells.cam.ac.uk/) is a user-friendly database for the direct access and interrogation of publicly available next-generation sequencing (NGS) data, specifically aimed at experimental biologists. In an era of multi-centre genomic dataset generation, CODEX provides a single database where these samples are collected, uniformly processed and vetted. The main drive of CODEX is to provide the wider scientific community with instant access to high-quality NGS data, which, irrespective of the publishing laboratory, is directly comparable. CODEX allows users to immediately visualize or download processed datasets, or compare user-generated data against the database's cumulative knowledge-base. CODEX contains four types of NGS experiments: transcription factor chromatin immunoprecipitation coupled to high-throughput sequencing (ChIP-Seq), histone modification ChIP-Seq, DNase-Seq and RNA-Seq. These are largely encompassed within two specialized repositories, HAEMCODE and ESCODE, which are focused on haematopoiesis and embryonic stem cell samples, respectively. To date, CODEX contains over 1000 samples, including 221 unique TFs and 93 unique cell types. CODEX therefore provides one of the most complete resources of publicly available NGS data for the direct interrogation of transcriptional programmes that regulate cellular identity and fate in the context of mammalian development, homeostasis and disease. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2015:43(Database issue) | 79 Citations (from Europe PMC, 2024-04-27)

Ranking

All databases:
1094/6000 (81.783%)
Expression:
204/1143 (82.24%)
Interaction:
212/982 (78.513%)
1094
Total Rank
79
Citations
8.778
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
sun yongqing [2022-08-23]
Mengwei Li [2016-03-31]
Lina Ma [2016-03-31]
Mengwei Li [2015-12-03]
Mengwei Li [2015-06-27]