flowchart LR A[Longitudinal samples] --> B[Microbiome + virome profiling] B --> C[Phage-host linkage] B --> D[Mobile element detection] C --> E[Temporal dynamics analysis] D --> E
Spinal Cord Injury Microbiome & Virome
Overview
A longitudinal study examining microbiome, virome, phage–host, and mobile-genetic-element dynamics following spinal cord injury (SCI), an area where gut microbial disruption is thought to influence recovery and health outcomes.
Scientific or practical problem
Spinal cord injury is associated with disruption of the gut microbiome, but how virome and phage–host dynamics change over time, and how mobile genetic elements move through the community post-injury, is not well characterized.
My role
Bioinformatics/statistical analysis support for longitudinal microbiome and virome profiling.
Dataset or data type
Longitudinal microbiome/virome sequencing samples from an SCI cohort or model system. (Specific cohort details withheld pending publication.)
Methods and technologies
- Longitudinal microbiome and virome profiling
- Phage–host linkage prediction
- Mobile genetic element detection
- Time-series statistical analysis
Workflow diagram
Major results or outputs
Not yet public — analysis is ongoing.
Challenges and decisions
Longitudinal study designs require careful handling of repeated-measures structure (e.g., mixed-effects models) rather than treating timepoints as independent samples.
Publications
Not yet published.
Code and documentation
Not yet publicly released.
Collaborators
Collaborative biomedical research project; specific collaborator identities withheld pending publication.
Current status
Ongoing.
Limitations or confidentiality note
This description is intentionally generalized. No unpublished results or identifying participant/collaborator information are shown.