ENHANCED PERF AND THROUGHPUT OF AUTOMATED DNA SEQUENCE

增强自动化 DNA 序列的性能和吞吐量

• 批准号: 2872865
• 负责人: Clark Tibbetts
• 金额: $ 29.08万
• 依托单位: GEORGE MASON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-02-01 至 2000-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2872865
• 关键词: automated data processing; bioengineering /biomedical engineering; biomedical equipment; computer assisted sequence analysis; computer program /software; computer system design /evaluation; human genetic material tag; nucleic acid sequence

The research objectives of this proposal are enhanced performance and increased throughput for gel-based automated DNA sequencing instruments in genome sequencing laboratories. We propose to integrate our established basecalling system with upstream data acquisition hardware and software, and with downstream processing and analysis of DNA sequences. We recently determined that the CCD-camera detector of the new ABI 377 DNA sequencer can be externally driven, to bypass its default limits on lateral scanning resolution and spectral bandwidth. We propose to increase scanning from 194 to 600 pixels per 1.5 second traverse of the gel, and to increase sampling from 4 to 64 wavelength intervals (filters) per pixel. Throughput would increase from the default 36 to 96 or more distinguishable sample lanes per gel. Increased detector bandwidth will improve the deconvolution performance for multiple dye sets. This invites applications with more than the standard four dye labels, including alternative fluorescent dye markers. We will investigate deconvolution and pattern recognition multiplex strategies, to determine favorable conditions for sequence analysis with multiple DNA samples per lane. We will evaluate and further develop lane tracking software, to analyze gel images with significantly increased numbers of sample lines. We will use our contextual pattern recognition approach to auto-editing of primary DNA sequence as an engine to generate Bayesian basecall confidence metrics. This will support automated reconciliation of basecalling discrepancies in downstream multiple sequence alignments, and thus facilitate consensus editing as a sequence finishing task. These ABI 377-based studies will be useful models for applications with new sequencing platforms under development. Capillary and microchannel hardware will challenge contemporary basecalling systems, with increased flow of raw imaging data that is required to monitor their accelerated separations and dense arrays of sequencing ladders. This research contributes to cost-effective and accurate large scale DNA sequencing, a significant technical objective of the Human Genome Initiative. This technology is essential in the long term for investigation and critical understanding of the structure, function, and sequence diversity of medically important genes.

本文的研究目标是提高系统的性能