Algorithms for whole genome analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The MUMmer, a system for aligning whole genome sequences, and improvements in the Glimmer bacterial gene finding system are discussed. Its use will be demonstrated on several pairs of strains of bacteria, ranging from very highly homologous organisms to much more distantly related organisms. This paper presents a new eukaryotic gene-finding system based on IMMs, GlimmerM, is developed for the genome of the malaria parasite, and is trained for the Arabidopsis thaliana and rice genomes.

Original languageEnglish (US)
Title of host publicationProceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, CBGIST 2001
EditorsC.H. Wu, P.P. Wang, J.T.L. Wang
Number of pages1
StatePublished - Dec 1 2001
Externally publishedYes
EventProceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, GBGIST 2001 - Durham, NC, United States
Duration: Mar 15 2001Mar 17 2001

Publication series

NameProceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technolgoy, CBGIST 2001

Other

OtherProceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, GBGIST 2001
CountryUnited States
CityDurham, NC
Period3/15/013/17/01

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Genetics
  • Computer Science (miscellaneous)

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  • Cite this

    Salzberg, S. L. (2001). Algorithms for whole genome analysis. In C. H. Wu, P. P. Wang, & J. T. L. Wang (Eds.), Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, CBGIST 2001 (Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technolgoy, CBGIST 2001).