Zhang_2015_vervet

Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data.

Accessions: PRJNA259274
Samples: 90
SPIRE clusters: 510
SPIRE genomes: 3074

Sequencing

Total Sequencing (bp): 826322037200
Average depth per sample (bp): 9181355969
Average read length: 200
Instrument Model: ILLUMINA
Seq Mode: PAIRED

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