Difference between revisions of "SparCC"
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* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory | * HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory | ||
* HPC_{{#uppercase:{{#var:app}}}}_BIN - executable directory | * HPC_{{#uppercase:{{#var:app}}}}_BIN - executable directory | ||
| − | * HPC_{{#uppercase:{{#var:app}}}}_LIB - | + | * HPC_{{#uppercase:{{#var:app}}}}_LIB - library directory |
{{#if: {{#var: exe}}|==How To Run== | {{#if: {{#var: exe}}|==How To Run== | ||
'''Note:''' If your data is compressed your job script should add another ppn to accommodate the external gzip process tophat will run. To be safe, add another ppn in any case. | '''Note:''' If your data is compressed your job script should add another ppn to accommodate the external gzip process tophat will run. To be safe, add another ppn in any case. | ||
Revision as of 16:11, 10 February 2014
Description
SparCC is mainly used for calculating correlations in compositional data. It can also be used to calculate sample diversity, rank abundance plots, etc.
Required Modules
Serial
- python
{{#lowercase:SparCC}}
System Variables
- HPC_{{#uppercase:SparCC}}_DIR - installation directory
- HPC_{{#uppercase:SparCC}}_BIN - executable directory
- HPC_{{#uppercase:SparCC}}_LIB - library directory