AMPSphere Pre-Computed Resources and Auxiliary Files for the Manuscript Codes

Célio Dias Santos Júnior, Marcelo Der Torossian Torres,Yiqian Duan,Álvaro Rodríguez del Río,Hui Chong,Chengkai Zhu, Amy Houseman, Jelena Somborski, Anna Vines, Jaime Huerta‐Cepas,Anthony Fullam,Thomas S.B. Schmidt,Peer Bork,Xing‐Ming Zhao, C. de la Fuente, Luís Pedro Coelho

Zenodo (CERN European Organization for Nuclear Research)(2023)

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摘要
AMPSphere is a comprehensive catalog of antimicrobial peptides predicted using Macrel (DOI: 10.7717/peerj.10555) from 63,410 public metagenomes, ProGenomes v2.2 database (82,400 high-quality microbial genomes), and c.a. 4k non-whitelisted microbial genomes from NCBI. Currently, AMPSphere is available as a web resource at https://ampsphere.big-data-biology.org/. AMPSphere v.2022-03 contains 863,498 sequences (avg length: 36 amino acids, range 8-98). DRAMP database was used to find confirmed sequences with strict homology to reference. This approach showed that 2,488 peptides were previously confirmed in our dataset. The present repository is a data dump for the precomputed resources and files needed for its generation and analysis as a complement to the GitHub repository. The complementary documentation is also available for each one of the files. To use the files just download them and apply the command `untar` to decompress the folders.
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