Multi-Omic Data Analysis for Small Intestine Insights

Project scope
Categories
Data visualization Data analysis Biotechnology Scientific researchSkills
proteomics biomarkers health research molecular biology data analysis research biology metabolomicsNimble Science Ltd. seeks to leverage its extensive Small Intestine multi-omic datasets to uncover novel biological insights. The project aims to apply bioinformatic techniques to analyze these datasets, focusing on identifying patterns, correlations, and potential biomarkers relevant to intestinal health. Learners will utilize classroom knowledge in bioinformatics, data analysis, and molecular biology to tackle this challenge. The project involves processing and integrating genomic, metabolomic, and proteomic data to generate comprehensive insights. By the end of the project, learners will have developed a deeper understanding of multi-omic data analysis and its applications in real-world biological research.
Key tasks include:
- Preprocessing and cleaning multi-omic datasets.
- Conducting statistical and computational analyses to identify significant patterns.
- Visualizing data to highlight key findings.
- Compiling a report summarizing insights and potential implications for intestinal health research.
The project deliverables include a comprehensive analysis report detailing the findings from the multi-omic data analysis. Learners will also provide visualizations that effectively communicate the identified patterns and correlations. Additionally, a presentation summarizing the methodology, results, and potential implications for further research will be prepared. These deliverables will demonstrate the learners' ability to apply bioinformatic techniques to complex datasets and provide actionable insights.
Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
Supported causes
The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.
About the company
Nimble Science is a health technology company delivering precision GI datasets leveraging the SIMBA GI Platform, an advanced capsule sampling technology that collects endoscopic quality intestinal liquid biopsies directly from the small intestine.
Provided as a home kit, the platform enables diverse multi-omic data extraction (microbiome, metabolome, proteome etc.) synchronous with drug and/or food product ingestion. The Nimble GI Analytics Platform processes this data, leveraging AI and ML tools to extract spatially associated information from traditionally inaccessible GI regions.