A.FLOW - SW
View samplesA flow cytometry analysis file contains processed results derived from raw cytometry data. It represents quantified cell populations, marker expression levels, or gating outcomes used for downstream statistical interpretation. Each file typically aggregates data from multiple raw samples into one analyzed dataset (many→1). Typical file types: .csv, .xlsx, .fcs
Attributes
| Name | Type | Description | PID  | Unit |
|---|---|---|---|---|
| UID* | Text | Not specified | - | - |
| File_PrimaryData | Text | Not specified | - | - |
| Link_PrimaryData | URI | Not specified | - | - |
| Parent | Text | Not specified | - | - |
| Protocol | URI | Not specified | - | - |
| Software | Text | Not specified | - | - |
| Scientist | Text | Not specified | - | - |
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Not specified Creators and Submitter
Views: 450 Downloads: 31
Created: 17th Sep 2024 at 20:16
Last updated: 27th May 2026 at 20:02
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Projects: MIT SRP, Hi-IMPAcTB, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC), Shoulders Lab, NExtSEEK Independent Projects
Web page: https://nextseek.mit.edu/
About
This project houses all the publicly available datasets generated by the Hi-IMPAcTB consortium over the course of its 7+ years.
What is Hi-IMPAcTB?
Hi-IMPAcTB is an ambitious endeavor bringing together a team of international, interdisciplinary researchers to improve our understanding of host-pathogen interactions in the context of tuberculosis (TB). Funded by a multi-center contract from the NIH, the long-term goal of the consortium is to enable principled vaccine design by improving ...
Programme: NExtSEEK
Public web page: https://grantome.com/grant/NIH/75N93019C00071-0-9999-1
