Hasindu Gamaarachchi

Results 266 comments of Hasindu Gamaarachchi

Or given Nanopolish 0.14.0 supports slow5, those fast5 can be attempted to be converted to slow5 first. `slow5 f2s -d blow5_dir -a -p `. slow5tools f2s may be able to...

At the moment it is the first GPU that is used by default. It is possible to add a command line option to that the user can provide which GPU...

What was the average coverage of the dataset? Is it a publicly available dataset, if so I can give a try on a v100 as well. And, how did you...

@jts This version now supports methylation aware polishing for the GPU. The answers from CPU (left) and GPU (right) for multi-model (-q dam,dcm) considerably match. ![image](https://user-images.githubusercontent.com/12987163/76579129-2d805c80-651f-11ea-8329-1a33abf517c0.png) The answers from single-model...

@jts Tested on the human genome as well for _chr20:5000000-5050000_ from the methylation calling tutorial dataset. VCF outputs significantly match for CPU and GPU for both single-model and multi-model. On...

As the reads seemed to be distributed all throughout the partitions (and I would have to iteratively try different subsets), I ended up downloading the whole thing and after like...

@gringer When it is in FAST5 - yes every manipulation task is hard. I have successfully converted all the partitions into BLOW5 recently and now any type of sorting is...

Given that I recently downloaded the whole raw signal dataset, I am planning to do a Guppy 6 rebasecall. If it succeeds (and not sure how much time it will...

@aafshinfard I have recently converted all the raw data to bloe5 format and have basecalled using Guppy 6.1.3 hac model. Given the large size of the files, I am not...

@arangrhie @aafshinfard The basecalled fastq files gzipped are relatively small and I think can be easily hosted. 288G hg2_merged_pass.fastq.gz 39G hg2_merged_fail.fastq.gz The raw signal data converted to BLOW5 are 3.4...