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Table 1 Accession numbers of samples/studies used to validate Tax4Fun2

From: Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

Origin Sample number Accession numbers
Human Microbiome 41 SRS011271, SRS011452, SRS011529, SRS011584, SRS011586, SRS013234, SRS013252, SRS013258, SRS013506, SRS013687, SRS013711, SRS013723, SRS014235, SRS014287, SRS014343, SRS014613, SRS014629, SRS014923, SRS015133, SRS015190, SRS015425, SRS015450, SRS015574, SRS015578, SRS015762, SRS015782, SRS015854, SRS015960, SRS016002, SRS016018, SRS016095, SRS016111, SRS016203, SRS016225, SRS016331, SRS016335, SRS016349, SRS016434, SRS016533, SRS016553, SRS016559
Mammalian Gut 56 4,461,284–301, 4,461,341–55, 4,461,357–58, 4,461,360–80, 4,461,383 (MG-RAST)
Microbial Mat 10 4,440,963–71 (MG-RAST)
Soil 14 4,477,803–5, 4,477,807, 4,477,872–7, 4,477,899, 4,477,902–4 (MG-RAST)
Water 10 SRA060677
Kelp 90 57,884–936, 57,938–56, 87,958–74, 58,019–20 (https://data.bioplatforms.com/organization/about/australian-microbiome).)
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Environmental Microbiome

ISSN: 2524-6372