Workflows

BATWING (1)

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Batwing reads in multi-locus haplotype data, and model and prior distri- bution specifications, and uses a Markov chain Monte Carlo (MCMC) method based on coalescent theory to generate approximate random samples from the posterior distributions of parameters such as mutation rates, effective population sizes and growth rates, and times of population splitting events. It also generates approximate posterior samples of the entire genealogical tree underly- ing the sample, including the tree hei...

Created: 2011-08-25 | Last updated: 2011-08-25

Credits: Pipeline

Automated Cortical Surface Extraction Work... (1)

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This workflow takes raw un-skull-stripped volumes and generates a cortical surface model using FreeSurfer? and CCB tools. Problem addressed by this workflow There are many ways to generate cortical surface models based on MRI data. Here is one of them. Eventually, there will be a new Learning-based Cortical Surface Modeling Pipeline, as well.   Input is Raw MRI T1-weighted volume CCB/FreeSurfer Cortical Surface extractor that the SIG-Shape team developed and we validated ...

Created: 2011-04-06 | Last updated: 2011-07-14

Credits: Pipeline