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Comment: split fasta file to train deep learning model
by
shenwei356
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Excluding sequences containing any letter not belonging to the 20 [amino acids letters](https://github.com/shenwei356/bio/blob/master/seq/a…
Comment: split fasta file to train deep learning model
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pinheirofabiano
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@shenwei356, thank you very much for your help, perfect!
But now I realized that some fasta sequences contain the letter "B", which is ou…
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I think it depends on the speed of your local disks and the memory amount. On a single node, breaking up the database doesn't sound like a …
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Other populations just make the model harder to generalize, not easier.
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Vincent Laufer
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i think there is some of that - my most upvoted comment of all time was a dismissive comment i made while extremely tired. for context i ha…
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Is this job on site in Vienna or remote?
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rls_08
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if you use bigwigCompare , that would not create a sliding window, but instead, it will output the mean for each bin, according to the -bin…
Comment: Sample size for population genetics
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zimmer.schweiz
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Thank you so much for your answer. For common polygenic diseases, would it make sense to increase the number of populations sampled, in ord…
Answer: Sample size for population genetics
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For a rare penetrant monogenic disease? A few cases.
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Rather than do all overlaps all the time for all samples, why not restrict the data by sample when you can. The code below works about 4 ti…
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Tom
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Hello, thank you for your answer,
I have a question, Why the information from the GFF file and from the feature table is different? I see …
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It should be pretty straightforward. Just to save you some pain, run these on the 1000g VCF once you download it:
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Comment: 1000 genomes hg38 with dbSNP rsid
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Yeah, I had some hope that I wouldn't need to mess with doing this ...
Answer: counting the unmapped reads
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chemkhi.ali13
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> Hi all,
>
> I have a sam file, my supervisor asked me to count the number of
> unmapped reads, which command I should use?
>
> sam…
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