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[Trinity] (https://github.com/trinityrnaseq/trinityrnaseq/wiki) is a method for efficient and robust de novo reconstruction of transcriptomes from RNA-Seq data. Trinity combines three independent software modules: `Inchworm`, `Chrysalis`, and `Butterfly`. All these modules can be applied sequentially to process large RNA-Seq datasets.
Running the Trinity pipeline from beginning to end on large datasets may exceed the walltime limit for a single job. Therefore, Trinity provides a mechanism to run the workflow in four separate steps, where each step resumes from the previous one. The same Trinity command and options are run for each step, with an additional option that is included for the different steps. On the last step, the Trinity command is run as normal.
In order to test the Trinity (trinity/r2014-04-13p1) performance on Tusker, we used three paired-end input fastq files, `small_1.fastq` and `small_2.fastq`, `medium_1.fastq` and `medium_2.fastq`, and `large_1.fastq` and `large_2.fastq`. Some statistics about the input files and the time and memory resources used by Trinity on Tusker are shown in the table below:
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