Analysis and Annotation of Nucleic Acid Sequence

States, David J.

University of Michigan, Ann Arbor, MI 48109-1224

关键词: Splicing;    Promoters;    Forecasting;    Genes;    Nucleic Acids;   

DOI  :  10.2172/899629
RP-ID  :  NONE
RP-ID  :  FG02-02ER63382
RP-ID  :  899629

美国|英语

来源: UNT Digital Library

【 摘 要 】

The aims of this project were to develop improved methods for computational genome annotation and to apply these methods to improve the annotation of genomic sequence data with a specific focus on human genome sequencing. The project resulted in a substantial body of published work. Notable contributions of this project were the identification of basecalling and lane tracking as error processes in genome sequencing and contributions to improved methods for these steps in genome sequencing. This technology improved the accuracy and throughput of genome sequence analysis. Probabilistic methods for physical map construction were developed. Improved methods for sequence alignment, alternative splicing analysis, promoter identification and NF kappa B response gene prediction were also developed.