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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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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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Considerations for building and using integrated single-cell atlases.

Karin Hrovatin1,2, Lisa Sikkema1,2, Vladimir A Shitov1,3

  • 1Department of Computational Health, Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.

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|December 13, 2024
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Summary
This summary is machine-generated.

Building single-cell atlases requires careful consideration of diverse methods, as no single protocol fits all approaches. This review offers guidance for creating and using these valuable biological references.

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Area of Science:

  • Single-cell biology
  • Genomics
  • Bioinformatics

Background:

  • Single-cell technologies enable the creation of comprehensive atlases by integrating diverse datasets.
  • These atlases serve as crucial references for current and future data analysis.
  • Variations in atlasing methodologies can impact data interpretation and atlas utility.

Purpose of the Study:

  • To review current single-cell atlas building literature.
  • To present considerations and workflows for constructing and utilizing single-cell atlases.
  • To highlight the benefits of integrated atlases for biological discovery.

Main Methods:

  • Literature review of existing single-cell atlasing approaches.
  • Discussion of context-specific considerations for atlas conceptualization, data collection, curation, integration, evaluation, and sharing.
  • Analysis of the impact of different atlasing strategies.

Main Results:

  • No universal protocol exists for building single-cell atlases; context-specific workflows are necessary.
  • Integrated atlases offer enhanced analytical power and enable insights beyond individual datasets.
  • Differences in atlasing approaches can significantly affect outcomes, necessitating clear documentation and standardization.

Conclusions:

  • Standardized and well-documented atlasing practices are essential for improving atlas quality.
  • The development of unified, reference-based single-cell atlases will advance the field.
  • Adoption of recommended practices will facilitate a more consistent and reliable understanding of single-cell biology.