JASON Evaluation Report of the Human Genome Project
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
October 7, 1997
The MITRE Corporation
JASON Program Office
1820 Dolley Madison Blvd
McLean, Virginia 22102
(703) 883-6997
Also available: Comments on: JASON Report JSR 97-315, “Human Genome Project” (version circulated Dec. 1997) [http://bozeman.genome.washington.edu/ ScienceLetter/JasonComments.html]
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
- 2.1 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
- 3.1 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
- 4.1 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