Data Mining and the Human Genome

Abstract

As genomics research moves from an era of data acquisition to one of both acquisition and interpretation, new methods are required for organizing and prioritizing the data. These methods would allow an initial level of data analysis to be carried out before committing resources to a particular genetic locus. This JASON study sought to delineate the main problems that must be faced in bioinformatics and to identify information technologies that can help to overcome those problems. While the current influx of data greatly exceeds what biologists have experienced in the past, other scientific disciplines and the commercial sector have been handling much larger datasets for many years. Powerful data mining techniques have been developed in other fields that, with appropriate modification, could be applied to the biological sciences.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 07, 2000
Accession Number
ADA373525

Entities

People

  • Bill Dally
  • Curtis Callan
  • Freeman Dyson
  • Gerald F Joyce
  • Henry Abarbanel

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biological Sciences
  • Biology
  • Computational Science
  • Computers
  • Data Acquisition
  • Data Analysis
  • Data Mining
  • Gene Expression
  • Genetics
  • Genome
  • Hidden Markov Models
  • Human Genome
  • Information Science
  • Information Systems
  • Military Research
  • Molecular Biology
  • Neural Networks

Readers

  • Defense Technology Research and Development.
  • Molecular Genetics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Biotechnology