Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Comparison of related genomes is an enormously powerful technique for explaining phenotypic differences and revealing recent evolutionary events. Genomes evolve through a host of mechanisms including long- and short-range intragenomic rearrangements, insertion of laterally acquired DNA, gene loss, and single-nucleotide polymorphisms. The Artemis Comparison Tool (ACT) was developed to enable the intuitive visualization of the consequences of such events in the context of two or more aligned genomes. WebACT is an online resource designed to allow the alignment of up to five genomic sequences within the ACT environment without the need for local software installation. Comparisons can be carried out between uploaded sequences, or those selected from the EMBL or RefSeq databases, using BLASTZ, MUMmer, or Basic Local Alignment Search Tool (BLAST). Precomputed comparisons can be selected from a database covering all the completed bacterial chromosome and plasmid sequences in the Genome Reviews database (1). This allows the rapid visualization of regions of interest, without the need to handle the full genome sequences. Here, we describe the process of using WebACT to prepare comparisons for visualization, and the selection of precomputed comparisons from the database. The use of ACT to view the selected comparison is then explored using examples from bacterial genomes.

Original publication

DOI

10.1007/978-1-59745-514-5_4

Type

Journal article

Journal

Methods in molecular biology (Clifton, N.J.)

Publication Date

01/2007

Volume

395

Pages

57 - 74

Addresses

Centre for Bioinformatics, Imperial College London, UK.

Keywords

Sequence Alignment, Polymorphism, Single Nucleotide, Genome, Internet, User-Computer Interface, Databases, Genetic