49 <param name="otu" type="data" format="rabund,sabund,list,shared" label="OTU list (rabund, sabund, list or shared format)" help="The rabund output from the 'Map Reads to OTU' tool"/>
50 <param name="label" type="select" label="Labels - OTU labels" multiple="true" help="Select one or more labels to calculate the collector's curve for. By default all labels are selected" >
55 <param name="calc" type="select" label="Calculators" multiple="true" help="Select one or more calculators for collector's curve generation. By default chao, invsimpson and npshannon are selected. Please see the description for information on the calculators.">
83 <param name="advanced" type="boolean" value="true" label="Please select to show and specify advanced option" help="Advanced options including specification of ACE Estimator threshold for abundant versus rare OTUs, sample size for OTU predicition and frequency for output."/>
86 <param name="cabund" type="boolean" value="true" label="Select, if you would like to specify the ACE Estimator threshold for abundant versus rare OTUs" help=""/>
126 Collector's curves can be calculated using calculators, that describe the richness, diversity, and other features of individual samples. Collector's curves describe how richness or diversity change as you sample additional individuals. If a collector's curve becomes parallel to the x-axis, you can be reasonably confident that you have done a good job of sampling and can trust the last value in the curve. Otherwise, you need to keep sampling.
214 By default the ACE estimator uses 10 as the cutoff between OTUs that are rare and abundant. So if an OTU has more than 10 individuals in it, then it is considered abundant. This is really just an empirical decision and we are merely following the lead of Anne Chao and others who implement 10 in their software. If you would like to use a different cutoff, you can use the abund option.
217 Within the suite of calculators available in mothur are a set that will predict the number of additional OTUs that will be observed for a given sample size. By default these calculators will base the prediction on a sample that is the same size as the initial sampling. If you would like to use a different sample size, use the size option.
221 For larger datasets you might not be interested in obtaining all of the data for the number of sequences sampled. For instance, if you have 100,000 sequences, you may only want to output the data every 100 sequences. Alternatively, if you only have 100 sequences, you may only want to output all of the data.
230 Please note, the number of outputs is depending on the number of selected calculators. Each selected calculator will result in an extra output, which is indicated by the calculator name in brackets at the end of the output's filename. In case the outputs for the selected calculators are **not** showing in the History panel, refresh your history by clicking on the refresh icon.
233 (A) A summary file in table format containing the following fields, number of sequences, the sample coverage, the number of observed OTUs, the chao richness estimate, the invsimpson diversity estimate, and the npshannon non-parametric diversity estimate. The summary gives results for each of the listed fields when all available data is used.
235 (B) Followed by a file for each calculator selected (indicated by the calculator's name in brackets at the end of the output's filename) which can be plotted as collector's curve and used to evaluate how the results of the calculator change with sampling effort.
240 Use Galaxy's integrated visualization tool to plot the collector's curve. The visualization tool is accessible via the 'Visualize' icon in the extended dataset information area. After having launched the integrated visualization tool select the 'Data Controls' tab. In the 'Data Controls' tab select column 1 (number sampled) as 'Data column for X' and use column 2 (minimum identity, according to select labels) as 'Data column for Y'.
