Versatile and open software for comparing large genomes

Stefan Kurtz; Adam M. Phillippy; Arthur L. Delcher; Michael Smoot; Martin Shumway; Corina Antonescu; Steven L. Salzberg · Genome biology · 2004

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Author / responsible party

Stefan Kurtz; Adam M. Phillippy; Arthur L. Delcher; Michael Smoot; Martin Shumway; Corina Antonescu; Steven L. Salzberg

Publisher

Genome biology

Year

2004

Language

English

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The newest version of MUMmer easily handles comparisons of large eukaryotic genomes at varying evolutionary distances, as demonstrated by applications to multiple genomes. Two new graphical viewing tools provide alternative ways to analyze genome alignments. The new system is the first version of MUMmer to be released as open-source software. This allows other developers to contribute to the code base and freely redistribute the code. The MUMmer sources are available at http://www.tigr.org/software/mummer.

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APA 7

Kurtz, S, Phillippy, A. M, Delcher, A. L, Smoot, M, Shumway, M, Antonescu, C, & Salzberg, S. L. (2004). Versatile and open software for comparing large genomes. https://doi.org/10.1186/gb-2004-5-2-r12

MLA

Kurtz, Stefan, et al. "Versatile and open software for comparing large genomes." 2004. https://doi.org/10.1186/gb-2004-5-2-r12.

Chicago

Kurtz, Stefan, Adam M. Phillippy, Arthur L. Delcher, Michael Smoot, Martin Shumway, Corina Antonescu, and Steven L. Salzberg. 2004. "Versatile and open software for comparing large genomes.". https://doi.org/10.1186/gb-2004-5-2-r12.

Harvard

Kurtz, S. et al. 2004, Versatile and open software for comparing large genomes, Genome biology, available at: https://doi.org/10.1186/gb-2004-5-2-r12 [Accessed 8 Aug. 2026].

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Title: Versatile and open software for comparing large genomes

Author / contributors: Stefan Kurtz; Adam M. Phillippy; Arthur L. Delcher; Michael Smoot; Martin Shumway; Corina Antonescu; Steven L. Salzberg

Publisher: Genome biology

Publication year: 2004

Language: English

Subjects

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Biology; Genome Biology; Human genetics; Computational biology; Genome; Software; Evolutionary biology; Computational genomics; Genomics; Genetics; Computer science; Gene