Harmonizing data, setting standards

Article Abstract:

One way to make sense of the patterning of the human genome is to compare gene sequences with other types of biological information, such as protein sequences and structures or genes identified in other creatures. However, such information is stored in hundreds of databases scattered around the world, and the data is not stored in any common format. To resolve this difficulty, various groups are developing database integration technologies that aim to enable scientists to search collections of otherwise incompatible sets of data as if they were one database. Informatics experts say standards for how data is stored and retrieved will eventually be needed.

Computer Science, Computer networks, Usage, Network management systems, Forecasts and trends, Industry trend, Management issue, Network management, Genomes, Genetic research, Database searching, Online searching, Information storage and retrieval

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Gene sequencing's industrial revolution

Article Abstract:

The International Human Genome Project and a private company, Celera Genomics, look forward to publishing the first draft of the human gene sequence early in 2001. Automation has been a key factor in decypering the human genome. DNA sequencing machines are being used that can produce more than 330,000 bases, or units of sequence information, per day, which is more than 100 researchers could produce in a year and a half using manual techniques that represented the state of the art less than a decade ago.

Cover Story, Technology overview, Human genetics, Human Genome Project, Celera Genomics Group

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Ajay Royyuru: genographer

Article Abstract:

The Genographic project, a joint effort of the National Geographic Society in Washington, D.C., and IBM Corp. plans to construct a map of human migration, spanning millennia from our origins in Africa to the present.Ajay Royyuru, senior manager of the computational Biology Center at IBM's Thomas J. Watson Research Center tells that this project helps us to find who our common ancestors were.

Computational biology, Royyuru, Ajay

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