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The Human Genome Project was completed in 2003. One of the key research areas was bioinformatics. Without the annotation provided via bioinformatics, the information gleaned from the HGP is not very useful. This page details HGP bioinformatics research.
is the creation, development, and operation of databases
and other computing tools to collect, organize, and
Continued investment in current and new databases and analytical tools
is critical to the future usefulness of HGP data. Databases must adapt
to the evolving needs of the scientific community and must allow queries
to be answered easily. Planners suggest developing a human genome database,
analogous to model organism databases, that will link to phenotypic information.
Also needed are databases and analytical tools for studying the expanding
body of gene-expression and functional data, for modeling complex biological
networks and interactions, and for collecting and analyzing sequence-variation
Bioinformatics and Computational Biology
- Improve content and utility of databases.
- Develop better tools for data generation, capture, and annotation.
- Develop and improve tools and databases for comprehensive functional studies.
- Develop and improve tools for representing and analyzing sequence similarity
- Create mechanisms to support effective approaches for producing robust,
exportable software that can be widely shared.
Text adapted from F. Collins, Ari Patrinos, et al., "New Goals for
the U.S. Human Genome Project: 1998–2003," Science
282: 682-689 (1998). For a more detailed explanation of informatics,
see the U.S. DOE Primer on
Molecular Genetics. For more on the project's goals, see