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Demo datasets
Ryan Wick edited this page Jul 13, 2020
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To help you get some experience with Trycycler, I've produced demo datasets that you can work through!
Each of these datasets:
- Uses a Chlamydia trachomatis genome because it's very small which helps to keep file sizes and runtimes down.
- Contains a simulated read set made from that genome. I used simulated reads because they enable an exact ground truth genome and allowed me to generate assemblies of varying input quality.
- Contains pre-generated input assemblies, so you can begin the process at the Clustering contigs step. I.e. you don't have to conduct the assemblies yourself.
- Has a corresponding analysis of mine: an outline of the actions I took when running Trycycler on the dataset.
Try running Trycycler on each dataset before reading my analysis – i.e. first attempt making a Trycycler assembly for each (I recommend in order of increasing difficulty) and then read my analysis so you can compare your process/results to mine.
Download link | My analysis |
---|---|
Great dataset | Great dataset analysis |
Good dataset | Good dataset analysis |
Mediocre dataset | Mediocre dataset analysis |
Bad dataset | Bad dataset analysis |
- Home
- Software requirements
- Installation
-
How to run Trycycler
- Quick start
- Step 1: Generating assemblies
- Step 2: Clustering contigs
- Step 3: Reconciling contigs
- Step 4: Multiple sequence alignment
- Step 5: Partitioning reads
- Step 6: Generating a consensus
- Step 7: Polishing after Trycycler
- Illustrated pipeline overview
- Demo datasets
- Implementation details
- FAQ and miscellaneous tips
- Other pages
- Guide to bacterial genome assembly (choose your own adventure)
- Accuracy vs depth