ISUDR
metadata only
Leveraging genetic time series data to improve detection of natural selection
My work focuses on the problem of detecting natural selection from genetic time series data. This dissertation is motivated by genomic sequence data from populations of the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) sampled temporally during the early stages of infection from the
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Insights into goatpox virus and sheeppox virus genomes from pangenome graphs#156735
- Insights into goatpox virus and sheeppox virus genomes from pangenome graphs#152326
- A Generalisation Signal Need Not Be a Model-Selection Signal#1144066
- Viromes outperform total metagenomes in revealing the spatiotemporal patterns of agricultural soil viral communities#1174835
- Non-Markovian dynamics and effective reproduction number in COVID-19: Evidence from Cyprus contact tracing data.#479289
Record · ID 964173
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive