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Related Concept Videos

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Introduction to GIS

Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Genomics02:02

Genomics

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Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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GenGIS: A geospatial information system for genomic data.

Donovan H Parks1, Michael Porter, Sylvia Churcher

  • 1Dalhousie University, Halifax, Nova Scotia, Canada.

Genome Research
|July 29, 2009
PubMed
Summary
This summary is machine-generated.

GenGIS is a new software tool that integrates genetic data with geographic and ecological information. This enables researchers to visualize and analyze biodiversity patterns and their relationship to environmental factors.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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08:03

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Published on: December 7, 2021

Area of Science:

  • Biodiversity research
  • Bioinformatics
  • Geographic Information Systems (GIS)

Background:

  • Increasing genetic data requires tools to integrate with geographic and ecological information.
  • Studying biodiversity processes necessitates analysis of large genetic datasets alongside spatial data.

Purpose of the Study:

  • To introduce GenGIS, a free, open-source software for integrating genetic, geographic, and environmental data.
  • To provide tools for mathematical and visual analysis of biodiversity data.
  • To facilitate the study of relationships between geography and genomic diversity.

Main Methods:

  • GenGIS software integrates digital map data with genetic sequences and environmental information.
  • The package includes essential bioinformatic and statistical tools for sequence data analysis.
  • Data visualization is combined with cartographic display for clear interpretation.

Main Results:

  • GenGIS successfully integrates diverse datasets, including microbial metagenomic, HIV-1, and human mitochondrial DNA.
  • The software provides clear visualizations of the relationship between geography and genomic diversity.
  • Hierarchical clustering of sites based on genetic similarity or phylogenetic proximity is supported.

Conclusions:

  • GenGIS offers a powerful, integrated platform for biodiversity research using georeferenced genetic data.
  • The software enhances the ability to test hypotheses about processes shaping biodiversity.
  • GenGIS is a valuable tool for visualizing and analyzing spatial patterns in genetic diversity.