logo

Development and Application of Systems Approaches for Analyzing the Impact of Genomic Variation on Tissue Transcriptomes (R01)

Sector: Government • Location: United States of America

Source: Grants.gov

Project
Archived

This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund, invites applications for R01 awards for statistical analysis of Genotype-Tissue Expression (GTEx) data. The goal of the GTEx program is to develop a data and sample resource to study the relationship between genetic variation and gene expression across multiple human reference tissues. By 2016 the GTEx p

Project Information FAQ

Project Information

5 Q
The project “Development and Application of Systems Approaches for Analyzing the Impact of Genomic Variation on Tissue Transcriptomes (R01)” is an infrastructure initiative in the Government sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Want to explore the full details? View the full report

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

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund, invites applications for R01 awards for statistical analysis of Genotype-Tissue Expression (GTEx) data. The goal of the GTEx program is to develop a data and sample resource to study the relationship between genetic variation and gene expression across multiple human reference tissues. By 2016 the GTEx program is expected to include genetic variation information from approximately 900 post-mortem donors and gene expression measurements from over 20,000 tissues. GTEx will represent a large, rich, and unique resource. This FOA is to develop and apply statistical methods and systems approaches to make maximal use of this data.

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