To fully understand the mechanism of fractionation of internal PO 4 pools, we propose to test the hypothesis that the offset is due to intracellular fractionation caused by production of PO 4-rich compatible solutes that are enriched in δ 18O. However, an offset in δ 18O fractionations was observed for (hyper)thermophiles, at temperatures greater than 70☌, making the application of DNA thermometry problematic for extreme hydrothermal conditions. The PO 4 oxygen-isotope composition of DNA from biomolecules/biomass can serve as an internal thermometer and biosignature to study in-situ habitats of microorganisms from unknown and remote sources on Earth and on ocean-bearing worlds in our solar system. These include rapid fault prediction and diagnosis of system- and component-level faults in a colony’s electrical energy system, which is to be treated as an islanded microgrid and utilization of unused power distribution and conversion capacity in available infrastructure to maximize the system’s available energy under faults and uncertain events.Įxtreme PO 4 Biosignatures: Testing the Thermal Limits of the δ18O-PO 4 Biomarker at Hydrothermal Conditions Transformative approaches proposed here can provide relevant solutions. Future colonies will require a reliable and available power supply for many critical systems. The proposed research provides a framework and specific solutions where prediction, diagnostic, and fault-recovery methods, combined with enhanced microgrid architectures, will enable a more secure electrical energy supply for future space colonies. The main goal of this project is to significantly increase the availability of electrical energy systems in future space colonies during unexpected failures or events, thus enhancing the energy security of such colonies. Space colonies have recently become of higher interest recently to explore new resources away from Earth. High-availability Energy Systems for Space Colonies The project aligns with the mission of NASA’s gene lab, under the Human Exploration Mission Directorate, which focuses with mutli-omics (including transcriptomic) data-driven research. In this research project, we propose computational solution to address this problem using transcriptomic sequencing data. This question is asked by many biologists, but the computational methods to address it are still not good enough to accurately give an answer. Gene allele specific expression estimation is an interesting computational biology problem that answers the question of whether the paternal, the maternal, or both copies of an inherited gene are expressed (active) in a your body. Gene Allele-Specific Expression (ASE) Estimation from Bulk and Single Cell RNA-Seq Data

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