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Spaceflight And Differential Gene Expression Analysis Of Mice Quadriceps Exposed To Microgravity, Tommy Nguyen
Spaceflight And Differential Gene Expression Analysis Of Mice Quadriceps Exposed To Microgravity, Tommy Nguyen
Master's Projects
he trip to Mars and back is planned for the next 20 years. Improvement in technology and research has allowed data analysis, at a larger scale, on spaceflight specimen. However, research involving spaceflight is decentralized, as research is spread across laboratories with different methodologies. NASA’S GeneLab is a public repository for spaceflight-related omics data and promotes centralizing spaceflight RNA-Seq studies using NASA’s RNA-Seq pipeline. Jonathan Oribello, a SJSU’s Bioinformatics graduate and now an employee at GeneLab, has implemented Nextflow to NASA’s RNA-Seq pipeline. The Nextflow RNA-Seq pipeline was ran on San Jose State University’s College of Science High Performance Computing …
An Examination Of Bone Loss During Space Travel With Differential Gene Expression Analysis, Claudia Vo
An Examination Of Bone Loss During Space Travel With Differential Gene Expression Analysis, Claudia Vo
Master's Projects
Spaceflight poses many risks to human health due to the harsh conditions of microgravity, cosmic radiation, and confinement. One of the impacts that spaceflight entails is bone loss, which is a risk to astronauts as future space missions will require long travel durations. To elucidate the role of genetics in spaceflight bone loss, in this study differential gene expression analysis was performed using Nextflow-RCP, an adaptation of NASA Genelab’s RNA-Seq Consensus pipeline. The dataset for this project was GLDS-241, which contained samples from mice femoral skin. To gain a comprehensive understanding of the genes involved in bone loss, the results …
Intelligent Resource Prediction For Hpc And Scientific Workflows, Benjamin Shealy
Intelligent Resource Prediction For Hpc And Scientific Workflows, Benjamin Shealy
All Dissertations
Scientific workflows and high-performance computing (HPC) platforms are critically important to modern scientific research. In order to perform scientific experiments at scale, domain scientists must have knowledge and expertise in software and hardware systems that are highly complex and rapidly evolving. While computational expertise will be essential for domain scientists going forward, any tools or practices that reduce this burden for domain scientists will greatly increase the rate of scientific discoveries. One challenge that exists for domain scientists today is knowing the resource usage patterns of an application for the purpose of resource provisioning. A tool that accurately estimates these …