| microPITA is a computational tool enabling sample selection in tiered studies. Using tiered-study designs can more efficiently allocate resources, reducing study costs, and maximizing the use of samples. From a survey study, selection of samples can be performed to target various microbial communities including:
Samples with the most diverse community (maximum diversity); Samples dominated by specific microbes (targeted feature); Samples with microbial communities representative of the survey (representative dissimilarity); Samples with the most extreme microbial communities in the survey (most dissimilar); Given a phenotype (like disease state), samples at the border of phenotypes (discriminant) or samples typical of each phenotype (distinct). Additionally, methods can leverage clinical metadata by stratifying samples into groups in which samples are subsequently selected. This enables the use of microPITA in cohort studies. |
hg clone https://toolshed.g2.bx.psu.edu/repos/george-weingart/micropita
| Name | Version | Type | |
|---|---|---|---|
| micropita_SCRIPT_PATH | set_environment | ||
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| micropita | 1.0.1 | any | |
| extension | type | mimetype | subclass |
|---|---|---|---|
| micropita | galaxy.datatypes.data:Text | true | |