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Bin Estimator Project

Maxwell Murphy edited this page Sep 6, 2019 · 3 revisions

Bin Estimator Projects are used to create bin sets, the ranges of expected peak sizes that correspond to different alleles. After peaks are identified, a mean shift clustering algorithm is applied on the peak base size dimension to identify modes in the data, which are interpreted as presence of alleles.

New Bin Estimator Project

To create a new Bin Estimator Project, select the Bin Estimators tab in the left panel. Fill in the relevant information, including a unique title and the locus set used for analysis.

Add Samples

After creating a Bin Estimator Project, select the samples tab and select from the inactive samples the samples you wish to incorporate into the project. After selecting, presss Add to add them to the project.

Bin Estimator Settings

After creating a new Bin Estimator Project and adding samples, select the Analysis Settings tab. From here, settings for each locus may be set to create a new bin set.

Parameter Description
Min. Peak Frequency The minimum number of peaks present before a bin is created
Default Bin Buffer The default bin buffer size each bin is created with

After analysis, bin sets may be viewed under the Bins tab. Here plots for each locus are presented where the x-axis is the peak base size and the y-axis is the peak relative height (1 indicates that the peak is the primary, tallest, peak). The user at this point may manipulate the bins manually by selecting a bin and shifting the buffer size or moving the center. After changes are made, press "Save All Changes" to persist the changes to the database. Additional bins may also be added by right clicking the panel and selecting "Add Bin". Note that changes to a Bin Estimator will invalidate results in projects that refer to it.

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