Human Genome Project
October 7, 1997
The MITRE Corporation
JASON Program Office
1820 Dolley Madison Blvd
McLean, Virginia 22102
(703) 883-6997
Study Leader:
S. Koonin
Contributors Include: |
S. Block
J. Cornwall
W. Dally
F. Dyson
N. Fortson
G. Joyce
H. J. Kimble
|
N. Lewis
C. Max
T. Prince
R. Schwitters
P. Weinberger
W. H. Woodin |
JSR-97-315
This report also available in the following formats: Word (PC), WordPerfect 5 (PC), and Word 5 (Mac) and a comments letter is available at
Comments on: JASON Report JSR 97-315, "Human Genome Project" (version circulated Dec. 1997)
1. BACKGROUND, CHARGE, AND RECOMMENDATIONS
- 1.1 Overview of the Human Genome Project
- 1.2 Challenges for the Project
1.2.1 The complexity of genomic data
1.2.2 The state of technology
1.2.3 The pace of sequencing
1.2.4 The cost of sequencing
1.2.5 Project coordination
- 1.3 Study charge
- 1.4 Recommendations
1.4.1 General recommendations
1.4.2 Technology recommendations
1.4.3 Quality recommendations
1.4.4 Informatics recommendations
2. TECHNOLOGY
- 2.1 Improvements of present genomics technology
2.1.1 Electrophoresis improvements and an ABI users group
2.1.2 Algorithms
- 2.2 DOE's mission for advanced sequencing technology
2.2.1 Institutional barriers to advanced technology development
2.2.2 Purposes of advanced sequencing technology
- 2.3 Specific advanced technologies
2.3.1 Single-molecule sequencing
2.3.2 Mass-spectrometric sequencing
2.3.3 Hybridization arrays
3. QUALITY
- 3.1 Quality requirements
3.1.1 The diversity of quality requirements
3.1.2 Accuracy required for assembly
- 3.2 Verification protocols
3.2.1 Restriction enzyme verification of sequence accuracy
3.2.2 Hybridization arrays for sequence verification
3.2.3 Implementation of verification protocols
- 3.3 Assessing and improving present techniques
3.3.1 A systems approach is required
3.3.2 Gold standards for measuring sequence accuracy
3.3.3 Quality issues pertaining to sequencing templates
4. GENOME INFORMATICS
- 4.1 Introduction
- 4.2 Databases
4.2.1 User issues
4.2.2 Modularity and standards
4.2.3 Scaling and storage
4.2.4 Archiving raw data
4.2.5 Measures of success
- 4.3 Sociological issues
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