Computational Analysis of the Encyclopedia of DNA Elements (ENCODE) Data (U01)
Sector: Government • Location: United States of America
Source: Grants.gov
The Encyclopedia of DNA Elements (ENCODE) and modENCODE Projects have, since their inception, cataloged a significant fraction of the functional elements in the human and well-studied model organism genomes, respectively. These catalogs are increasingly being used by the research community to expand on basic biological knowledge and to interpret the results of disease-mapping studies. The purpos
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Encyclopedia of DNA Elements (ENCODE) and modENCODE Projects have, since their inception, cataloged a significant fraction of the functional elements in the human and well-studied model organism genomes, respectively. These catalogs are increasingly being used by the research community to expand on basic biological knowledge and to interpret the results of disease-mapping studies. The purpose of this FOA is to solicit applications from researchers outside of the umbrella of the ENCODE Projects to support analysis activities on the ENCODE data. These activities might include developing new methods to improve on analysis and interpretation of ENCODE data, combining ENCODE data with related functional genomic data from other projects to derive new biological insights, or using the ENCODE data to improve on the analysis of disease mapping studies to identify causal variants. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |