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Tutorial video to use the 'sm-dtw' assessment tool with simulated synthetic phyllotaxis data

<p>This tutorial explain how to use &#39;sm-dtw&#39;, an assessment tool which has been designed to evaluate how good a phyllotaxis measure is from a plant phenotyping experiment. To get data to play with and explore all possible case scenarios, we also designed a program to generate phyllotaxis data and simulate typical errors produced by a phenotyping experiment.</p> <p>This tutorial explains:</p> <p>1) the context in which such a tool is useful (what is a phyllotaxis measure ? What kind of phenotyping experiment ? Why do need to evaluate your results ? What are typical errors you want to detect ?)</p> <p>2) how to download and use the two programs (&#39;sm-dtw&#39; and the generator of phyllotaxis data)</p> <p>3) how to play with the programs thanks to pedagogical demonstrator notebooks.</p> <p>In brief, there are 3 notebooks that are meant to be run as three successive steps:</p> <ul> <li>step1 / Notebook 1: it allows anybody to simulate phyllotaxis data (pair of sequences consisting of ground truth sequences and their error-prone measures),</li> <li>step2 / Notebook 2: assess the measure performance with our new program &lsquo;sm-dtw&rsquo; (detect errors and quantify precision)</li> <li>step3/Notebook 3: control that sm-dtw program correctly interprets the differences between the measure and its ground truth reference.</li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

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