PopNetD3 - A network based web resource for exploring population structure.

08:00 EDT 16th May 2019 | BioPortfolio

Summary of "PopNetD3 - A network based web resource for exploring population structure."

We present PopNetD3, a web tool that provides an integrated approach for the network-based visualization of population structure based on the PopNet clustering framework. Users first submit a tab-delimited file that defines diversity of SNPs across the genome which is subsequently processed by the PopNet backend to define patterns of conservation at the chromosome level. The resulting population structure is visualized through a dedicated D3-based tool, allowing users to interactively examine chromosomal regions predicted to share ancestry. We illustrate the capabilities of PopNetD3 through an analysis of 16 strains of Neisseria gonorrhea. PopNetD3 is capable of processing population datasets consisting of hundreds of individuals and is publicly available online at:


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This article was published in the following journal.

Name: Genome biology and evolution
ISSN: 1759-6653


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Medical and Biotech [MESH] Definitions

Ongoing scrutiny of a population (general population, study population, target population, etc.), generally using methods distinguished by their practicability, uniformity, and frequently their rapidity, rather than by complete accuracy.

Studies in which a number of subjects are selected from all subjects in a defined population. Conclusions based on sample results may be attributed only to the population sampled.

A multi- and interdisciplinary field concerned with improving health and achieving equity in health for all people. It transcends national boundaries, promotes cooperation and collaboration within and beyond health science fields, and combines population-based disease prevention with individually-based patient care.

A quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule. It is based upon structure and activity information gathered from a series of similar compounds.

Statistical interpretation and description of a population with reference to distribution, composition, or structure.

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