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The maximum number of markers in windows is smaller than the lower boundary of breaks #109
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Thank you for the feedback. |
Hi,Thanks so much for your feedback.I will get the information together and send across to you.
Warm regards,
Temitayo
On Saturday, October 7, 2023 at 01:19:53 AM PDT, Lilin Yin ***@***.***> wrote:
Thank you for the feedback.
Could you mind sending your data and the running script to me at ***@***.***? I will check it out for the issue.
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|
Hello,
Here is the code and the file is attached.
library("CMplot")
dataCM <- read.table(file="CMPlot2.txt",header=T,sep="\t")
CMplot(dataCM,plot.type="d",bin.size=1e1,chr.den.col=c("darkgreen", "yellow", "red"),file="jpg",file.name="CMPlotOutput",dpi=300,
main="genes",file.output=TRUE,verbose=TRUE,width=9,height=3)
Thanks so much for your help.
Temitayo
On Monday, October 9, 2023 at 04:26:46 PM PDT, Olagunju Temitayo ***@***.***> wrote:
Hi,Thanks so much for your feedback.I will get the information together and send across to you.
Warm regards,
Temitayo
On Saturday, October 7, 2023 at 01:19:53 AM PDT, Lilin Yin ***@***.***> wrote:
Thank you for the feedback.
Could you mind sending your data and the running script to me at ***@***.***? I will check it out for the issue.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.Message ID: ***@***.***>
gene chr pos
UBE2D4 Y 26482682
ZNF280BY Y 26582882
UBE2D1 Y 26797405
ZNF280A Y 27159671
ZNF280A Y 27358396
HSFY1 Y 27484158
UBE2D3 Y 27665523
HSFY1 Y 27783314
UBE2D2 Y 28015252
ZNF280BY Y 28197926
ZNF280BY Y 28864480
ZNF280BY Y 29344345
HSFY1 Y 29675819
HSFY1 Y 29846305
UBE2D3 Y 30224209
ZNF280BY Y 30323456
env&ca Y 30527250
UBE2D3 Y 30818589
ZNF280A&sh Y 30889719
Zfp280b Y 31110801
UBE2D3 Y 31211081
HSFY1 Y 31218309
Gm19457 Y 31534073
UBE2D3 Y 31615896
ZNF280A Y 31884832
UBE2D3 Y 32277714
UBE2D1 Y 32996128
HSFY2 Y 33038989
UBE2D4 Y 33047554
HSFY2 Y 33090333
HSFY2 Y 33183575
LOC112443502 Y 33247978
UBE2D4 Y 33546774
UBE2D3 Y 33624133
ZNF280B Y 33910251
LOC112443502 Y 33920204
UBE2D1 Y 34072129
UBE2D1 Y 34458379
UBE2D4 Y 34781224
LOC112443502 Y 34877004
LOC104969408 Y 34880584
ZNF280BY Y 34888659
UBE2D1 Y 35110385
ZNF280A&sh Y 35181557
ZNF280B Y 35402916
Gm19457 Y 35503296
LOC104969408 Y 35917215
ZNF280BY Y 35925284
ZNF280BY Y 36166724
UBE2D3 Y 41773926
UBE2D1 Y 42159720
ENOSF1 Y 42168446
HSFY1 Y 42175491
HSFY2 Y 42405921
Gm19457 Y 42414464
ZNF280B Y 49271175
LOC104969408 Y 49279474
UBE2D2 Y 49704216
ZNF280B Y 50080053
ENOSF1 Y 50115807
ZNF280BY Y 50321044
LOC104969408 Y 50329325
ZNF280BY Y 50843291
ZNF280A&sh Y 51064373
UBE2D2 Y 51136844
ZNF280BY Y 51310583
LOC104969408 Y 51318869
HSFY2 Y 51426575
ENOSF1 Y 51731604
UBE2D1 Y 51739310
UBXN8 Y 52280349
ZNF280BY Y 52289066
ZNF280BY Y 52942379
LOC104969408 Y 52950693
LOC112443502 Y 52952345
HSFY2 Y 53111597
UBXN8 Y 53178913
LOC104969408 Y 53179542
HSFY2 Y 53616076
LOC132344573 Y-RefSeq 9192022
LOC132344574 Y-RefSeq 9199421
LOC132344575 Y-RefSeq 9228925
LOC132344576 Y-RefSeq 9236322
LOC132344577 Y-RefSeq 9243718
LOC132344578 Y-RefSeq 9251121
LOC132344579 Y-RefSeq 9265914
LOC132344580 Y-RefSeq 9273311
LOC132344581 Y-RefSeq 9325056
LOC132344582 Y-RefSeq 9332467
LOC132344583 Y-RefSeq 9339878
LOC132344584 Y-RefSeq 9347293
LOC132344585 Y-RefSeq 9354706
LOC132344586 Y-RefSeq 9362111
LOC132344587 Y-RefSeq 9435132
LOC132344588 Y-RefSeq 9442531
LOC132344589 Y-RefSeq 9449928
LOC132344590 Y-RefSeq 9457325
LOC132344627 Y-RefSeq 17451663
LOC132344628 Y-RefSeq 17514015
LOC132344483 Y-RefSeq 17535771
LOC132344437 Y-RefSeq 17550556
LOC132344484 Y-RefSeq 17901134
LOC132344629 Y-RefSeq 17963609
LOC132344630 Y-RefSeq 18231140
LOC132344485 Y-RefSeq 18291988
LOC132344486 Y-RefSeq 18318637
LOC132344632 Y-RefSeq 18380991
LOC132344487 Y-RefSeq 18399540
LOC132344488 Y-RefSeq 18415242
LOC132344489 Y-RefSeq 18430837
LOC132344490 Y-RefSeq 18834943
LOC132344491 Y-RefSeq 18938371
LOC132344492 Y-RefSeq 18954070
LOC132344493 Y-RefSeq 18969769
LOC132344494 Y-RefSeq 18985467
LOC132344495 Y-RefSeq 19001166
LOC132344496 Y-RefSeq 19016862
LOC132344497 Y-RefSeq 19032561
LOC132344498 Y-RefSeq 19352388
LOC132344635 Y-RefSeq 19414859
LOC132344636 Y-RefSeq 19796866
LOC132344499 Y-RefSeq 19857498
LOC132344500 Y-RefSeq 19884273
LOC132344638 Y-RefSeq 19946598
LOC132344501 Y-RefSeq 19967206
LOC132344639 Y-RefSeq 21033471
LOC132344502 Y-RefSeq 21094826
LOC132344503 Y-RefSeq 21648882
LOC132344641 Y-RefSeq 21669364
LOC132344504 Y-RefSeq 21730444
LOC132344505 Y-RefSeq 21758958
LOC132344643 Y-RefSeq 21821980
LOC132344644 Y-RefSeq 22029414
LOC528601 Y-RefSeq 22091185
LOC132344506 Y-RefSeq 22118032
LOC132344507 Y-RefSeq 22201128
LOC132344508 Y-RefSeq 22216844
LOC132344509 Y-RefSeq 22232545
LOC132344510 Y-RefSeq 22248246
LOC132344511 Y-RefSeq 22263819
LOC132344512 Y-RefSeq 22279535
LOC132344513 Y-RefSeq 22295235
LOC132344647 Y-RefSeq 22831062
LOC132344514 Y-RefSeq 22892353
LOC132344649 Y-RefSeq 23048127
LOC132342092 Y-RefSeq 23093760
LOC132344515 Y-RefSeq 23229408
LOC132344656 Y-RefSeq 24365794
LOC132344657 Y-RefSeq 24442280
LOC132344658 Y-RefSeq 24469013
LOC104974629 Y-RefSeq 24524743
LOC132344659 Y-RefSeq 24661639
LOC132344660 Y-RefSeq 24728184
LOC132344662 Y-RefSeq 25170370
LOC132344517 Y-RefSeq 25189455
LOC785023 Y-RefSeq 25210799
LOC132344518 Y-RefSeq 25232135
LOC132344519 Y-RefSeq 25253465
LOC132344520 Y-RefSeq 25274793
LOC112442075 Y-RefSeq 25296144
LOC132344521 Y-RefSeq 25317513
LOC132344522 Y-RefSeq 25338829
LOC132344538 Y-RefSeq 25345548
LOC789301 Y-RefSeq 25355837
LOC132344539 Y-RefSeq 25362551
LOC132344523 Y-RefSeq 25374188
LOC132344524 Y-RefSeq 25395401
LOC132344525 Y-RefSeq 25416725
LOC132344540 Y-RefSeq 25445725
LOC132344665 Y-RefSeq 25826189
LOC132344541 Y-RefSeq 25851473
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Hi @CEPHAS-01, The version on GitHub has been updated for the issue you proposed, please source the online script and have a try. BTW, i found that you used a very small window size, it may not be an appropriate choice, i recommend using a bigger one, for example: > source("https://raw.githubusercontent.com/YinLiLin/CMplot/master/R/CMplot.r")
> CMplot(dataCM,plot.type="d",bin.size=1e6,chr.den.col=c("darkgreen", "yellow", "red"),file="jpg",file.name="CMPlotOutput",dpi=300,main="genes",file.output=TRUE,verbose=TRUE,width=9,height=3,legend.cex=0.6) Best, |
Thanks a bunch. |
actually not, it's just a general setting. |
Alright, thanks.
On Thursday, October 12, 2023 at 09:18:51 PM PDT, Lilin Yin ***@***.***> wrote:
actually not, it's just a general setting.
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Reply to this email directly, view it on GitHub, or unsubscribe.
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|
Hi,
Thanks for this great tool.
I made use of it to visualize just 1 chromosome and it worked right.
I am trying to visualize 2 chromosomes but I get an error message.
"Error in Pmap[, 1] : incorrect number of dimensions"
When I tried again with only one of the 2 chromosomes I get the following
Error in DensityPlot(Pmap[, 1], Pmap[, 2], chr.ori, chr.pos.max = chr.pos.max, :
the maximum number of markers in windows is smaller than the lower boundary of breaks.
Here is a part (boundary) of the input for the 2 chromosomes plot:
RBMX Y 59362343
RBMX Y 59386279
PSMB6 Y 59458668
PLCXD1 Y-RefSeq 34576
LOC100298830 Y-RefSeq 54425
LOC132342097 Y-RefSeq 67594
LOC132344459 Y-RefSeq 287024
Thanks in advance for your help.
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