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Hi,
The normalisation is built in to trinity so you can just add the normalise flag to your command. You can change the coverage parameter but leaving it as default will probably suffice.
Also you can run on galaxy to get a lot more RAM
Hope this helps, Mark
Hi, I think what you're thinking of is changing the kmer for assembly. For the normalisation the parameter essentially just changes the number of identical kmers which remain. So changing from 30 (default) to a higher value is unlikely to change your assembly (but you can try!).
The trinity website is a good starting point for more info but often comparing different assemblies of the same data isn't carried out. Check out a program called detonate which will compare your assembly to your raw data and give you a likelihood score. In theory the assembly with the highest likelihood is the best one you have.
Thanks, Mark
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Hi, I think what you're thinking of is changing the kmer for assembly. For the normalisation the parameter essentially just changes the number of identical kmers which remain. So changing from 30 (default) to a higher value is unlikely to change your assembly (but you can try!).
The trinity website is a good starting point for more info but often comparing different assemblies of the same data isn't carried out. Check out a program called detonate which will compare your assembly to your raw data and give you a likelihood score. In theory the assembly with the highest likelihood is the best one you have.
Thanks, Mark
On 26 Aug 2015 14:11, "தினேஷ் குமார் சு" <dinesh...@gmail.com> wrote:
Tnx for the Quick reply.--i will try the normalisation with default value.sry for inconveniencedo u know which paper or review article suitable for that type of work. because i want to know about that values.now lot of people try with different k-mer and get a better result with low error. so that i want to know about that values and how that values are give better result.i think this info will help lot of newbie work on NGS transcriptome analysis.
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Hi Pablo,The percentage of jobs completed would refer to the jobs that are left to compute after resuming from an earlier run. It basically just skips over the commands that were completed successfully earlier.It would be useful to see error messages from the commands that failed. Also, let's look at your Trinity command to see if it needs to be adjusted.~brian
On Sun, Mar 5, 2017 at 6:15 AM, Pablo García Fernández <pablo...@gmail.com> wrote:
Hello Brian,finally I could go a little bit further solving the memory issue but now I found some warms which scare me a little bit. I'll explain the scenario, cause of the number of user using the HCP service which I'm using I have to run Trinity assembly in several runs.First time I reach 40% of Trinity phase 2 Assembling Clusters of Reads in a run of 10 hours but the next time I run during 10 hours Trinity I obtain that:Trinity Phase 2: Assembling Clusters of Reads** (jump several steps done in a previous run)*succeeded(18184), failed(71) 11.0479% completedMy question is, this 11% is from the beginning or now I'm at some point like 51%? (40% from previous run and 11% this run?)Second, why this time I only reach a 11% (same script same resources)Third, what is this failed count?Just to finish, do you recommend to erase some directory or file and start again the "Trinity Phase 2: Assembling Clusters of Reads"?? I ask about that because the first time it reaches more or less the half part of the process and without error messages.Thank you for your time.Pablo GF
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