Open NyxSLY opened 6 years ago
They should be the same. What kind of differences are you seeing?
the most significant enrichment (a USCS feature table) in web-based LOLA is not significant at all in local R version.
web-based UCSC switchDbTss result (pValueLog is infinity): userSet | dbSet | collection | pValueLog | oddsRatio | support | rnkPV | rnkLO | rnkSup | maxRnk | meanRnk | b | c | d | description | cellType | tissue | antibody | treatment | dataSource | filename | size | id | axis_label |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
allCT_regions.bed | 3011 | ucsc_features | 25.14260683 | 470 | 1 | 76 | 10 | 76 | 29 | 112178 | 458 | 2748406 | UCSC Switch DB TSSs | switchDbTss.bed | 131780 | UCSC Switch DB TSSs_3011 | UCSC Switch DB TSSs |
local R package UCSC switchDbTss result: userSet dbSet collection pValueLog logOddsRatio support rnkPV rnkLO rnkSup maxRnk meanRnk b c d description cellType tissue antibody treatment dataSource filename qValue size 1 3011 ucsc_features 0.432783493920793 1.06557508871529 40 796 867 203 867 622 112504 995 2982142 UCSC Switch DB TSSs NA NA NA NA NA switchDbTss.bed 1 131780
I manually check the overlap between my regions and switchDbTss using findOverlaps function in R, and it seems the local version is right, there is not too many overlaps.
Have you run this on the most recent version of lolaweb? can you try re-running it to see what happens? can you send me the link to the results on lolaweb?
the d value is very different in your analyses which tells me the universe may be different. what reference genome assembly are you using? and what universe are you using?
I just re-run LOLAweb with my own universe and you can see the results from http://lolaweb.databio.org/?key=W352OUYCHGVAK48
I also re-run LOLA in R and still see the difference. Input files, command and results are here https://drive.google.com/drive/folders/19pkIsQKCueKyqQh3OqqGa2vhhpMM29hs?usp=sharing
The universe I am using is a 1kb tiles hg19 bed file made by myself. I have tried LOLAweb with premade universe tills1000.hg19.bed and my own 1kb tiles hg19 universe. Both of them give me almost the same results, but different with local R version.
Thank you for your help!
On Wed, Apr 25, 2018 at 2:42 PM, Nathan Sheffield notifications@github.com wrote:
the d value is very different in your analyses which tells me the universe may be different. what reference genome assembly are you using? and what universe are you using?
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that is strange if you're using the same universe in both places. I will have to see if I can reproduce this. thanks for the files I'll take a look.
Thanks!
On Wed, Apr 25, 2018 at 4:02 PM, Nathan Sheffield notifications@github.com wrote:
that is strange if you're using the same universe in both places. I will have to see if I can reproduce this. thanks for the files I'll take a look.
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I got different results from LOLAweb interactive server and LOLA installed from bioconductor with the same input files( region set, universe, and core database). What's the difference between web-based LOLA and LOLA R package?