Accelerating the Integration and Translation of Technologies to Characterize Biological Processes at the Single Cell Level (R01)
Sector: Hospital • Location: United States of America
Source: Grants.gov
This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund, invites applications for R01 awards that will accelerate the translation of promising technologies for single cell analysis from prototype into practice, by taking them through the downstream development and validation process and establishing them as robust, well-characterized tools ready to transform ou
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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 | This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund, invites applications for R01 awards that will accelerate the translation of promising technologies for single cell analysis from prototype into practice, by taking them through the downstream development and validation process and establishing them as robust, well-characterized tools ready to transform our understanding of cell-level heterogeneity in a wide variety of clinical and research settings. Awards will focus on supporting multidisciplinary teams that apply an integrative, quantitative approach to developing these technologies so they fulfill a critical unmet need by offering compelling advantages to end-users, but can be applied to multiple types of cell populations. It is expected that applications will have well-defined goal(s) with intermediate quantitative milestones. |
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 |
