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dc.contributor.authorAlam, Intikhab
dc.contributor.authorKamau, Allan
dc.contributor.authorGugi, David
dc.contributor.authorGojobori, Takashi
dc.contributor.authorDuarte, Carlos M.
dc.contributor.authorBajic, Vladimir B.
dc.date.accessioned2020-12-20T13:32:13Z
dc.date.available2020-12-20T13:32:13Z
dc.date.issued2020-12-14
dc.identifier.citationAlam, I., Kamau, A., Gugi, D., Gojobori, T., Duarte, C., & Bajic, V. (2020). KAUST Metagenomic Analysis Platform (KMAP), Enabling Access to Massive Analytics of Re-Annotated Metagenomic Data. doi:10.21203/rs.3.rs-119704/v1
dc.identifier.doi10.21203/rs.3.rs-119704/v1
dc.identifier.urihttp://hdl.handle.net/10754/666521.1
dc.description.abstractAbstract Exponential rise of metagenomics sequencing is delivering massive functional environmental genomics data. However, this also generates a procedural bottleneck for on-going re-analysis as reference databases grow and methods improve, and analyses need be updated for consistency, which require acceess to increasingly demanding bioinformatic and computational resources. Here, we present the KAUST Metagenomic Analysis Platform (KMAP), a new integrated open web-based tool for the comprehensive exploration of shotgun metagenomic data. We illustrate the capacities KMAP provides through the re-assembly of ~27,000 public metagenomic samples captured in ~450 studies sampled across ~77 diverse habitats, resulting in 36 new habitat-specific gene catalogs, all based on full-length (complete) genes. Extensive taxonomic and gene annotations are stored in Gene Information Tables (GITs), a simple tractable data integration format useful for analysis through command line or for database management. KMAP facilitates the exploration and comparison of microbial GITs across different habitats with over 275 million genes.
dc.publisherResearch Square Platform LLC
dc.relation.urlhttps://www.researchsquare.com/article/rs-119704/v1
dc.rightsArchived with thanks to Research Square
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleKAUST Metagenomic Analysis Platform (KMAP), Enabling Access to Massive Analytics of Re-Annotated Metagenomic Data.
dc.typePreprint
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.eprint.versionPre-print
dc.contributor.institutionLeibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures
kaust.personAlam, Intikhab
kaust.personKamau, Allan
kaust.personGojobori, Takashi
kaust.personDuarte, Carlos M.
kaust.personBajic, Vladimir B.
refterms.dateFOA2020-12-20T13:38:02Z


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