BAPS: Difference between revisions
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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}} | {{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}} | ||
• The genetic mixture modelling options in the | • The genetic mixture modelling options in the | ||
current BAPS software are built on a quite | current BAPS software are built on a quite | ||
different approach compared to the ordinary | different approach compared to the ordinary | ||
latent class model. | latent class model. | ||
• The BAPS mixture model is derived using novel | • The BAPS mixture model is derived using novel | ||
Bayesian predictive classification theory, applied | Bayesian predictive classification theory, applied | ||
to the population genetics context. | to the population genetics context. | ||
• Also, the computational approach is different | • Also, the computational approach is different | ||
and it utilizes the results on nonreversible | and it utilizes the results on nonreversible | ||
Metropolis-Hastings algorithm introduced by | Metropolis-Hastings algorithm introduced by | ||
Corander et al. (Statistics & Computing 2006). | Corander et al. (Statistics & Computing 2006). | ||
• A variety of different prior assumptions about the | • A variety of different prior assumptions about the | ||
molecular data can be utilized in BAPS to make | molecular data can be utilized in BAPS to make | ||
inferences. | inferences. | ||
<!--Modules--> | <!--Modules--> | ||
==Required Modules== | ==Required Modules== | ||
===Serial=== | ===Serial=== | ||
* {{#var:app}} | * {{#var:app}} | ||
<!-- | |||
===Parallel (OpenMP)=== | ===Parallel (OpenMP)=== | ||
* intel | * intel | ||
Revision as of 18:56, 28 May 2015
Description
• The genetic mixture modelling options in the current BAPS software are built on a quite different approach compared to the ordinary latent class model.
• The BAPS mixture model is derived using novel Bayesian predictive classification theory, applied to the population genetics context.
• Also, the computational approach is different and it utilizes the results on nonreversible Metropolis-Hastings algorithm introduced by Corander et al. (Statistics & Computing 2006).
• A variety of different prior assumptions about the molecular data can be utilized in BAPS to make inferences.
Required Modules
Serial
- BAPS
System Variables
- HPC_{{#uppercase:BAPS}}_DIR - installation directory