2022 spring, fall Qin lab funding acknowledgement

For covid19

HQ thanks the support of NSF PIPP #2200138, BD Spoke  #1761839, SFS #1663105,  REU #1852042 and  #2149956, and an internal CEACSE award and support from the Office of the Vice Chancellor of Research at the University of Tennessee at Chattanooga.

For REU: 

We thank NSF REU #1852042 and  #2149956

For image related works
We thank the support of NSF Career award #1453078 and #1720215, BD Spoke  #1761839, and internal support of the University of Tennessee at Chattanooga. 


For yeast aging:
We thank the support of NSF Career award #1453078 and #1720215, BD Spoke  #1761839,  REU   #1852042, and internal support of the University of Tennessee at Chattanooga. 

For Machine Learning
We thank the support of NSF Career award #1453078 and #1720215, BD Spoke  #1761839, and internal support of the University of Tennessee at Chattanooga. TP, DM thanks the support of a DoD capacity building grant.