Improved analytical methods for microarray-based genome-composition analysis

• Published in: Genome biology Vol. 3; no. 11; pp. RESEARCH0065 - 402
• Main Authors: Kim, Charles C, Joyce, Elizabeth A, Chan, Kaman, Falkow, Stanley
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 29.10.2002; BioMed Central
• Subjects: Algorithms; analytical methods; bacteria; Campylobacter jejuni; Campylobacter jejuni - genetics; Computational Biology - methods; Computational Biology - standards; Computational Biology - statistics & numerical data; Databases, Genetic - statistics & numerical data; genes; Genes, Bacterial - genetics; Genome, Bacterial; Genotype; Helicobacter pylori; Helicobacter pylori - genetics; Humans; microarray technology; nucleic acid hybridization; Oligonucleotide Array Sequence Analysis - methods; Oligonucleotide Array Sequence Analysis - standards; Oligonucleotide Array Sequence Analysis - statistics & numerical data; probability; Reference Standards; sequence analysis; Software; strain differences

Whereas genome sequencing has given us high-resolution pictures of many different species of bacteria, microarrays provide a means of obtaining information on genome composition for many strains of a given species. Genome-composition analysis using microarrays, or 'genomotyping', can be us...