USA flag logo/image

An Official Website of the United States Government

ESTIMATING, ENCODING, AND UTILIZING UNCERTAINTIES IN SEQUENCE DATA

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
27254
Program Year/Program:
1994 / SBIR
Agency Tracking Number:
27254
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Computational Biosciences, Inc
Box 2090 Ann Arbor, MI 48106
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1994
Title: ESTIMATING, ENCODING, AND UTILIZING UNCERTAINTIES IN SEQUENCE DATA
Agency: DOE
Contract: N/A
Award Amount: $74,999.00
 

Abstract:

AMONG THE STATED GOALS OF THE HUMAN GENOME PROJECT IS A DRAMATIC IMPROVEMENT IN DNA SEQUENCING TECHNOLOGIES AND CORRESPONDING REDUCTION IN COST PER FINISHED BASE SEQUENCED. RELATIVELY LITTLE ATTENTION, HOWEVER, HAS BEEN GIVEN TO THE PROBLEM OF ASSURING THE QUALITY OF THE RISING TIDE OF MASS-PRODUCED DATA AS GENOMIC SEQUENCING BECOMES EVER MORE AUTOMATED AND PRODUCTION-ORIENTED. AT A VERY MINIMUM, IT WILL BE INCUMBENT ON THE PRODUCERS OF SEQUENCE DATA TO PROVIDE INFORMATION REGARDING ITS RELIABILITY, PREFERABLY FOR EACH SEQUENCED BASE. THIS WILL REQUIRE THAT SUCH INFORMATION BE ESTIMATED AS AUTOMATICALLY AND AS INEXPENSIVELY AS IS THE SEQUENCE DATA ITSELF. THIS PHASE I PROJECT WILL ADDRESS THIS ISSUE BY ACHIEVING THE FOLLOWING BROAD OBJECTIVES: (1) APPROACHES TO THE ESTIMATION OF BASE-SPECIFIC UNCERTAINTY INFORMATION FROM THE OUTPUTS OF AUTOMATED SEQUENCING MACHINES WILL BE STUDIES AND EVALUATED, (2) METHODS FOR COMPACTLY ENCODING, STORING, VIEWING, AND MANIPULATING THIS INFORMATION WILL BE IMPLEMENTED AND EVALUATED, (3) A FRAGMENT ASSEMBLY ALGORITHM WILL BE DESIGNED THAT UTILIZES THIS INFORMATION FOR INPUT FRAGMENTS AND GENERATES CONSISTENT ESTIMATES FOR FINISHED ASSEMBLIES, AND (4) A VARIETY OF SEQUENCE ANALYSIS ALGORITHMS WILL BE ADAPTED TO MAKE OPTIMAL USE OF UNCERTAINTY INFORMATION WHERE IT IS AVAILABLE.

Principal Investigator:

Mr John Hartman
3134269050

Business Contact:

Small Business Information at Submission:

Computational Biosciences Inc.
Po Box 2090 Ann Arbor, MI 31342

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No