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Demo datasets
To help get some experience with Trycycler, I've produced some demo datasets that you can work through!
Each of these demos is made from simulated reads of a Chlamydia trachomatis genome. I used this organism because it has a very small genome, which helps to keep file sizes and runtimes down. I used simulated reads because they enable an exact ground truth genome and allowed me to generate assemblies of varying input quality.
I have made demo sets of varying degrees of quality/ease. Each includes reads and pre-generated input assemblies, so you can begin the process at the Clustering contigs step. I would recommend that you try running Trycycler on each before reading my analyses. I.e. first have a go running Trycycler on each dataset, and then read my analysis of the same set so you can compare your results to mine.
Here are the datasets, in order of increasing difficulty:
- Great dataset:
- Good dataset
- Mediocre dataset
- Bad dataset
- Home
- Software requirements
- Installation
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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