| Autor: |
John A. McCulloch, Jonathan H. Badger, Nikki Cannon, Richard R. Rodrigues, Michael Valencia, Jennifer J. Barb, Miriam R. Fernandes, Ascharya Balaji, Lisa Crowson, Colm O’hUigin, Amiran Dzutsev, Giorgio Trinchieri |
| Rok vydání: |
2023 |
| DOI: |
10.1101/2023.03.03.531026 |
| Popis: |
Shotgun microbiome sequencing analysis presents several challenges to accurately and consistently depict sample composition and functional potential. Here we present a two-part framework – JAMS (Just a Microbiology System) – whereby with raw fastq files and metadata as input, meaningful analysis within a sample and between a sample can be performed with ease for either shotgun or 16S sequences. JAMS is the first package to provide seamless deconvolution of functions into their taxonomic contributors. We validated our JAMS framework on two human gut shotgun metagenome test datasets against the popular tool MetaPhlAn 4. We further demonstrate the application of the JAMS package, particularly the plotting functions, on a mouse shotgun dataset. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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