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. 2023:2605:271-291.
doi: 10.1007/978-1-0716-2871-3_14.

MycoCosm, the JGI's Fungal Genome Portal for Comparative Genomic and Multiomics Data Analyses

Affiliations

MycoCosm, the JGI's Fungal Genome Portal for Comparative Genomic and Multiomics Data Analyses

Steven R Ahrendt et al. Methods Mol Biol. 2023.

Abstract

MycoCosm ( https://mycocosm.jgi.doe.gov/ ) is an integrated fungal genomics portal that currently includes over 2000 fungal genomes. Efficiently exploring these genomes allows the scientific community to address challenges associated with energy and the environment. Here, we provide examples and guidelines for navigating around MycoCosm, and for using a variety of analysis tools to compare genomics and other "omics" data from the fungus Neocallimastix californiae with its relatives.

Keywords: Fungi; Genomics; Multi-omics.

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References

    1. Grigoriev IV, Nikitin R, Haridas S, Kuo A, Ohm R, Otillar R, Riley R, Salamov A, Zhao X, Korzeniewski F, Smirnova T, Nordberg H, Dubchak I, Shabalov I (2014) MycoCosm portal: gearing up for 1000 fungal genomes. Nucleic Acids Res 42(Database issue):D699–D704 - DOI
    1. Haitjema CH, Gilmore SP, Henske JK, Solomon KV, de Groot R, Kuo A, Mondo SJ, Salamov AA, LaButti K, Zhao Z, Chiniquy J, Barry K, Brewer HM, Purvine SO, Wright AT, Hainaut M, Boxma B, van Alen T, Hackstein JHP, Henrissat B, Baker SE, Grigoriev IV, O’Malley MA (2017) A parts list for fungal cellulosomes revealed by comparative genomics. Nat Microbiol 2:17087 - DOI
    1. Enright AJ, Van Dongen S, Ouzounis CA (2002) An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res 30:1575–1584 - DOI
    1. Mistry J, Chuguransky S, Williams L, Qureshi M, Salazar GA, Sonnhammer ELL, Tosatto SCE, Paladin L, Raj S, Richardson LJ, Finn RD, Bateman A (2021) Pfam: the protein families database in 2021. Nucleic Acids Res 49:D412–D419 - DOI
    1. Kanehisa M, Goto S (2000) KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28:27–30 - DOI