Genotype–phenotype databases: challenges and solutions for the post-genomic era

The flow of research data concerning the genetic basis of health and disease is rapidly increasing in speed and complexity. In response, many projects are seeking to ensure that there are appropriate informatics tools, systems and databases available to manage and exploit this flood of information. Previous solutions, such as central databases, journal-based publication and manually intensive data curation, are now being enhanced with new systems for federated databases, database publication, and more automated management of data flows and quality control. Along with emerging technologies that enhance connectivity and data retrieval, these advances should help to create a powerful knowledge environment for genotype–phenotype information.

• Publication year

  2009

• Venue

  Nature reviews genetics

• Publication date

  Unknown publication date

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/nrg2483PMID 19065136
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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