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Recent Replies
Comment: Telescope issue
by
eleven11
•
0
Hello the output is
A01940:33:GW2208142379th:3:1317:24126:3505 355 chr14 16651125 0 150M = 17034150 122900 GCTAACAGAGTTGAACCTTTCTATTG…
Comment: What does 'bundle_uuid' refer to in this metadata sheet?
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Looking at the [code here][1] `bundle_uuid` seems to be related to the submissions to HCA. Samples that ran on multiple lanes seem to have …
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this is very true and increasingly true as time goes forward. thanks for supplementing this post with your own :-)
Comment: What does 'bundle_uuid' refer to in this metadata sheet?
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jeffrey.maurer.informatics
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Thank you, but I've already checked out that site to see if I was missing anything and I don't see any answers to my questions there.
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You have not explicitly specified the number of permutations (which are used to calculate the p-value). The default value of the permutatio…
Comment: Telescope issue
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> CIGAR and query sequence are of different length [W::sam_read1] Parse error at line 9954941
Problem appears to be at that line. Can you …
Comment: What does 'bundle_uuid' refer to in this metadata sheet?
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SRA Run Selector shows a better view of the metadata: https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA761679&o=acc_s%3Aa
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Aspire
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- `p.adjust()` is supposed to receive a **numeric vector of p-values**, not a matrix.
- It makes no sense to "adjust" just one p-value, …
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I understood where the problem lies. I discussed with my wet lab colleagues (this is part of a bioinformatician's job...) and by showing th…
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This question fits in nicely with the [SIB Swiss Institute of Bioinformatics course on Enzyme information in UniProt][1]
[1]: https://w…
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This can be done via SPARQL at the UniProt.org sparql endpoint
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fald…
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No it does not. Do you know of a way that can help me achieve what I want?
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UniRef file is 43G compressed so probably will become ~60G when uncompressed. You would likely be looking at at least that much +10-20% GB …
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thank you for your comment, but yes running DESeq2 is the starting point.
dds <- DESeqDataSetFromMatrix(countData=RawCounts,
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