Elite weapons application scientists, developing cutting-edge science
weapons for DARPA, and operating under the cover of the Mitre Corporation. 1. BACKGROUND, CHARGE, AND RECOMMENDATIONS
What they are doing is developing genetics for war and operating in relative
secrecy.
They don't deserve to exist. The money which is spent on this project could
be put to use in a much more productive manner.
Human Genome Project
October 7, 1997
The MITRE Corporation
JASON Program Office
1820 Dolley Madison Blvd
McLean, Virginia 22102
(703) 883-6997Study 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
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