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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Biological databases for human research.

Dong Zou¹, Lina Ma¹, Jun Yu¹

¹CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

Genomics, Proteomics & Bioinformatics

|February 26, 2015

Summary

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The Human Genome Project enables new research avenues. This review categorizes human biological databases, highlighting challenges in managing the growing volume of biological data for precision medicine.

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

The Human Genome Project provides a foundation for studying the human genome.
Biological data is rapidly expanding, necessitating numerous databases for research.
Existing databases aid human-related research across various domains.

Purpose of the Study:

To present a curated collection of human-related biological databases.
To classify these databases based on their data types.
To offer a mini-review of the current landscape of human biological data resources.

Main Methods:

Systematic collection of human-related biological databases.
Categorization of databases according to data types.
Review and analysis of database functionalities and scope.

Keywords:

Big data Curation Database Database category Human

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Main Results:

A categorized collection of human-related biological databases is presented.
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Human-related biological databases are crucial for advancing research from evolutionary studies to precision medicine.
The exponential growth in biological data presents significant challenges in storage, processing, exchange, and curation.
Effective management strategies are essential to harness the full potential of these databases for future biomedical advancements.