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Pileup for telomeres concerning trans chromosomal interactions #150

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Brahmandam-Gayatri opened this issue Jun 10, 2024 · 26 comments
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@Brahmandam-Gayatri
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Brahmandam-Gayatri commented Jun 10, 2024

Hello,

Thank you for developing coolpuppy for pileup analysis. I want to plot an aggregate heatmap for yeast data using telomeric coordinates and I am unable to do so.

  • I went through the pileup tutorials of cooltools, as well as coolpuppy. But I am not sure how to provide telomere coordinates in place of CTCF regions. The following are the coordinates for the telomeres of the left arm of the chromosomes:

chrom start end
chrIX 1 7784
chrV 1 6473
chrXIII 1 6344
chrXVI 1 7223
chrIII 1 1098
chrVI 1 5530
chrXII 1 12085
chrVIII 1 5505
chrXV 1 847
chrII 1 6608
chrXIV 1 7428
chrI 1 801
chrVII 1 781
chrX 1 7767
chrXI 1 807
chrIV 1 904

In general, the plot looks similar to the aggregate plot of centromeres, but here the aggregate signal is observed at the corners in place of center. Any suggestions are highly appreciated!!

@Brahmandam-Gayatri Brahmandam-Gayatri changed the title [Q]Hello, [Q]Pileup for telomeres concerning trans chromosomal interactions Jun 10, 2024
@Brahmandam-Gayatri Brahmandam-Gayatri changed the title [Q]Pileup for telomeres concerning trans chromosomal interactions Pileup for telomeres concerning trans chromosomal interactions Jun 10, 2024
@Phlya
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Phlya commented Jun 10, 2024

Please provide more details - what have you tried, what were the results?

@Brahmandam-Gayatri
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Brahmandam-Gayatri commented Jun 10, 2024

I tried using cooltools, but not sure how to proceed with coolpuppy. Here is my code:

clr1_10kb = cooler.Cooler('/path/to/file/sample1.mcool::/resolutions/10000')

sacCer3_chromsizes = bioframe.fetch_chromsizes('sacCer3')
sacCer3_cens = pd.read_csv('/path/to/file/centromere.txt', sep='\t')

Read telomere coordinates:

tel_yeast = pd.read_table('/path/to/file/telomere_left_yeast.bed', sep='\t').query(f'chrom in {clr1_10kb.chromnames}')
tel_yeast['mid'] = (tel_yeast.end+tel_yeast.start)//2
tel_yeast.head()

chrom	start	end	mid
0	chrIX	1	7784	3892
1	chrV	1	6473	3237
2	chrXIII	1	6344	3172
3	chrXVI	1	7223	3612
4	chrIII	1	1098	549

expected_yeast = cooltools.expected_cis(clr1_10kb, nproc=2, chunksize=1_000)

expected_yeast

region1	region2	dist	n_valid	count.sum	balanced.sum	count.avg	balanced.avg	balanced.avg.smoothed	balanced.avg.smoothed.agg
0	chrM	chrM	0	9	NaN	NaN	NaN	NaN	NaN	NaN
1	chrM	chrM	1	8	NaN	NaN	NaN	NaN	0.000497	0.000639
2	chrM	chrM	2	7	48293.0	0.372054	6899.000000	0.053151	0.052541	0.056308
3	chrM	chrM	3	6	36136.0	0.321482	6022.666667	0.053580	0.048051	0.037760
4	chrM	chrM	4	5	22451.0	0.167468	4490.200000	0.033494	0.037567	0.026177
...	...	...	...	...	...	...	...	...	...	...
1220	chrIV	chrIV	149	4	19.0	0.003011	4.750000	0.000753	0.000521	0.000535
1221	chrIV	chrIV	150	3	3.0	0.000386	1.000000	0.000129	0.000522	0.000536
1222	chrIV	chrIV	151	2	4.0	0.000706	2.000000	0.000353	0.000524	0.000537
1223	chrIV	chrIV	152	1	121.0	0.019644	121.000000	0.019644	0.000525	0.000538
1224	chrIV	chrIV	153	0	0.0	0.000000	NaN	NaN	0.000526	0.000538
1225 rows × 10 columns

paired_sites = bioframe.pair_by_distance(tel_yeast, min_sep=200, max_sep=1000, suffixes=('1', '2'))
paired_sites.loc[:, 'mid1'] = (paired_sites['start1'] + paired_sites['end1'])//2
paired_sites
chrom1	start1	end1	mid1	chrom2	start2	end2	mid2  **#The paired_sites dataframe is empty**

I tried doing this to generate aggregate plot for off-diagonal pileup, as documented here: https://cooltools.readthedocs.io/en/latest/notebooks/pileup_CTCF.html

But as I could not get the plot, I went through issues of cooltools so as to raise a new issue (open2c/cooltools#491) and was redirected to coolpuppy from open2c/cooltools#491 (comment)

Hence, I went through the docs of https://coolpuppy.readthedocs.io/en/latest/Examples/Walkthrough_API.html#trans-inter-chromosomal-pileups, but I am still not sure how to plot for telomeric regions.

@Phlya
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Phlya commented Jun 10, 2024

Well, since your regions are on the edge of the chromosome, you need to basically just pileup all chromosome starts. So You can create a bed file with the first e.g. 100 kbp regions of each chromosome
chrom start end
chrIX 1 100000
...
etc.

Then use coolpup.py pileup with --trans and without rescaling.

@Brahmandam-Gayatri
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Apologies if I sound naive, but how to create the bed file?

@Phlya
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Phlya commented Jun 10, 2024

It's a simple tab-delimited file with three columns (chrom, start, end). You can use pandas, a text editor, or a spreadsheet editor.

@Phlya
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Phlya commented Jun 10, 2024

Or you can keep using the python API, then you can modify the tel_yeast dataframe

@Brahmandam-Gayatri
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Brahmandam-Gayatri commented Jun 10, 2024

So I need to just save the telomere coordinates as a bed file and input that along with my mcool file to coolpup.py pileup to get the plot using command line?

@Brahmandam-Gayatri
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This is how the sacCer3_cens data looks like:

chrom	start	end	mid
0	chrI	151465	151582	151524
1	chrII	238207	238323	238265
2	chrIII	114385	114501	114443
3	chrIV	449711	449821	449766
4	chrV	151987	152104	152046
5	chrVI	148510	148627	148569
6	chrVII	496920	497038	496979
7	chrVIII	105586	105703	105645
8	chrIX	355629	355745	355687
9	chrX	436307	436425	436366
10	chrXI	440129	440246	440188
11	chrXII	150828	150947	150888
12	chrXIII	268031	268149	268090
13	chrXIV	628758	628875	628817
14	chrXV	326584	326702	326643
15	chrXVI	555957	556073	556015

@Phlya
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Phlya commented Jun 10, 2024

Sort of - actually there is a trick... you have to provide a file that is shifted by a certain distance from the end of the chromosome (e.g. 100 kb), and use the same distance as the --flank argument.
So, small correction:
It should look like this:
chrom start end
chrIX 90000 110000
...

And use coolpup.py {cool_file} {shifted_tels.bed} --flank 100000 --trans --expected {expected_trans_file} -o {pileup.clp}
And then plotpup.py should plot the result

@Brahmandam-Gayatri
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Should I input the same coordinates for all chromosomes or change according to the chromosome? For eg.,
chrII and chrIII have different coordinates, so would it be fine if I specify as 90000 and 110000 for both?

chrII	238207	238323	
chrIII	114385	114501

@Phlya
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Phlya commented Jun 10, 2024

Before you showed coordinates that were all very small and close to 0, why are they much bigger now?

@Brahmandam-Gayatri
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Brahmandam-Gayatri commented Jun 10, 2024

These are centromeric coordinates.

chrII	238207	238323	
chrIII	114385	114501

I showed the left arm telomeric coordinates at the start of my post

chrIII 1 1098
chrVI 1 5530
chrXII 1 12085
chrVIII 1 5505
chrXV 1 847
chrII 1 6608

@Phlya
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Phlya commented Jun 10, 2024

But you want to pileup telomeres?

@Brahmandam-Gayatri
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Yes. I want the pileup for telomeres of both left and right arms of the chromosomes. But to plot, I am only doing with left arm first.

@Phlya
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Phlya commented Jun 10, 2024

Yeah then just pileup around a fixed distance shifted from 0, e.g. 100 kb or smth... I'm not familiar with yeast data, not sure what would be the best distance. Then you can pileup the right ones the same way, shift from the end of each chromosome by a fixed distance

@Brahmandam-Gayatri
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I am getting the following error:

coolpup.py /path/to/file/sample1.mcool::/resolutions/10000 shifted_tels.bed --flank 100000 --trans --expected expected_trans.tsv -o pileup.clp
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
Traceback (most recent call last):
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 298, in _is_compatible_trans_expected
    _ = _is_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 152, in _is_expected
    raise e
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 125, in _is_expected
    raise ValueError(f"Values in {grouping_columns} columns must be unique")
ValueError: Values in ['region1', 'region2'] columns must be unique

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/io.py", line 327, in read_expected_from_file
    _ = is_valid_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 391, in is_valid_expected
    return _is_compatible_trans_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 340, in _is_compatible_trans_expected
    raise e
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 305, in _is_compatible_trans_expected
    raise ValueError("expected_df does not look like trans-expected") from e
ValueError: expected_df does not look like trans-expected

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/catg1/.local/bin/coolpup.py", line 8, in <module>
    sys.exit(main())
  File "/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/CLI.py", line 493, in main
    expected = io.read_expected_from_file(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/io.py", line 336, in read_expected_from_file
    raise ValueError(
ValueError: Input expected file does not match the schema
Expected must be tab-separated file with a header

The file expected_trans.tsv contains the following:

<!DOCTYPE html>

<html>
<head>
	
	
	<title></title>
	<meta name="generator" content="LibreOffice 7.3.7.2 (Linux)"/>
	<style type="text/css">
		body,div,table,thead,tbody,tfoot,tr,th,td,p { font-family:"Liberation Sans"; font-size:x-small }
		a.comment-indicator:hover + comment { background:#ffd; position:absolute; display:block; border:1px solid black; padding:0.5em;  } 
		a.comment-indicator { background:red; display:inline-block; border:1px solid black; width:0.5em; height:0.5em;  } 
		comment { display:none;  } 
	</style>
	
</head>

<body>

region1 | region2 | dist | n_valid | count.sum | balanced.sum | count.avg | balanced.avg | balanced.avg.smoothed | balanced.avg.smoothed.agg
-- | -- | -- | -- | -- | -- | -- | -- | -- | --
chrM | chrM | 0 | 9 |   |   |   |   |   |  
chrM | chrM | 1 | 8 |   |   |   |   | 0.000496669227937875 | 0.00063942972823703
chrM | chrM | 2 | 7 | 48293 | 0.372053637479411 | 6899 | 0.0531505196399159 | 0.0525410493153696 | 0.0563079144204046
chrM | chrM | 3 | 6 | 36136 | 0.321481934581842 | 6022.66666666667 | 0.053580322430307 | 0.0480513547631135 | 0.0377598171583264
chrM | chrM | 4 | 5 | 22451 | 0.167467893069907 | 4490.2 | 0.0334935786139813 | 0.0375673781338824 | 0.0261766749716914
chrM | chrM | 5 | 4 | 14185 | 0.11236548714211 | 3546.25 | 0.0280913717855276 | 0.0360963830657584 | 0.018969640466925
chrM | chrM | 6 | 3 | 11203 | 0.0887893943518971 | 3734.33333333333 | 0.0295964647839657 | 0.0491267465142774 | 0.0142832725033798
chrM | chrM | 7 | 2 | 10225 | 0.0805744713985754 | 5112.5 | 0.0402872356992877 | 0.0752928403921177 | 0.0110845475380622
chrM | chrM | 8 | 1 | 44000 | 0.377630196055131 | 44000 | 0.377630196055131 | 0.10876732008745 | 0.00880629387117672
chrIX | chrIX | 0 | 42 |   |   |   |   |   |  
chrIX | chrIX | 1 | 41 |   |   |   |   | 0.000587566452703396 | 0.00063942972823703
chrIX | chrIX | 2 | 40 | 31083 | 2.25873209324364 | 777.075 | 0.056468302331091 | 0.0522900364541279 | 0.0563079144204046
chrIX | chrIX | 3 | 39 | 19380 | 1.41740182842212 | 496.923076923077 | 0.0363436366262083 | 0.0346470550700121 | 0.0377598171583264
chrIX | chrIX | 4 | 38 | 12546 | 0.909496302874006 | 330.157894736842 | 0.0239341132335265 | 0.0234776546783782 | 0.0261766749716914
chrIX | chrIX | 5 | 37 | 8769 | 0.636014010291257 | 237 | 0.0171895678457097 | 0.0167191559864385 | 0.018969640466925
chrIX | chrIX | 6 | 36 | 6230 | 0.453913668018458 | 173.055555555556 | 0.0126087130005127 | 0.0123988360898993 | 0.0142832725033798
chrIX | chrIX | 7 | 35 | 4577 | 0.330308018504265 | 130.771428571429 | 0.00943737195726473 | 0.00947597931387518 | 0.0110845475380622
chrIX | chrIX | 8 | 34 | 3458 | 0.250111089468336 | 101.705882352941 | 0.00735620851377459 | 0.00743528836833192 | 0.00880629387117672
chrIX | chrIX | 9 | 33 | 2686 | 0.196342671245793 | 81.3939393939394 | 0.00594977791653917 | 0.00597241658428364 | 0.00712865424620211
chrIX | chrIX | 10 | 32 | 2079 | 0.15089710731848 | 64.96875 | 0.0047155346037025 | 0.00489941668906075 | 0.00586938932489326
chrIX | chrIX | 11 | 31 | 1683 | 0.119554717638327 | 54.2903225806452 | 0.00385660379478475 | 0.00409746125172262 | 0.00491551082671522
chrIX | chrIX | 12 | 30 | 1428 | 0.101074284498914 | 47.6 | 0.00336914281663046 | 0.00348811011483907 | 0.00418855820128917
chrIX | chrIX | 13 | 29 | 1142 | 0.0810218250968101 | 39.3793103448276 | 0.00279385603782104 | 0.00301770972112611 | 0.00363010272398591
chrIX | chrIX | 14 | 28 | 1021 | 0.0725704580713719 | 36.4642857142857 | 0.00259180207397757 | 0.00264889881396591 | 0.00319570812585238
chrIX | chrIX | 15 | 27 | 825 | 0.0586249749229456 | 30.5555555555556 | 0.0021712953675165 | 0.00235538487639591 | 0.00285180404455236
chrIX | chrIX | 16 | 26 | 687 | 0.0502465934841103 | 26.4230769230769 | 0.0019325612878504 | 0.00211854523421107 | 0.00257367476271558
chrIX | chrIX | 17 | 25 | 623 | 0.045339101246096 | 24.92 | 0.00181356404984384 | 0.00192505750135856 | 0.00234370630074062
chrIX | chrIX | 18 | 24 | 526 | 0.0381323243496206 | 21.9166666666667 | 0.00158884684790086 | 0.00176522448628715 | 0.0021497042831649
chrIX | chrIX | 19 | 23 | 507 | 0.0371118989933197 | 22.0434782608696 | 0.00161356082579651 | 0.00163192587023838 | 0.00198345183312927
chrIX | chrIX | 20 | 22 | 425 | 0.0310489700985334 | 19.3181818181818 | 0.00141131682266061 | 0.00151987608905784 | 0.0018394528675716
chrIX | chrIX | 21 | 21 | 382 | 0.0283030714115839 | 18.1904761904762 | 0.00134776530531352 | 0.00142505626400995 | 0.00171391190010117
chrIX | chrIX | 22 | 20 | 303 | 0.0215487693655638 | 15.15 | 0.00107743846827819 | 0.00134439350944602 | 0.00160408664679366
chrIX | chrIX | 23 | 19 | 294 | 0.0215262241712543 | 15.4736842105263 | 0.00113295916690812 | 0.00127548704655054 | 0.00150783719102629
chrIX | chrIX | 24 | 18 | 271 | 0.0198055954959348 | 15.0555555555556 | 0.00110031086088527 | 0.00121643777837355 | 0.00142338597723856
chrIX | chrIX | 25 | 17 | 240 | 0.0181570700365712 | 14.1176470588235 | 0.00106806294332772 | 0.00116570557816471 | 0.00134918031338564


</body>

</html>

And the shifted_tels.bed has the following coordinates:

chrom	start	end
chrIX	9000	110000
chrV	9000	110000
chrXIII	9000	110000
chrXVI	9000	110000
chrIII	9000	110000
chrVI	9000	110000
chrXII	9000	110000
chrVIII	9000	110000
chrXV	9000	110000
chrII	9000	110000
chrXIV	9000	110000
chrI	9000	110000
chrVII	9000	110000
chrX	9000	110000
chrXI	9000	110000
chrIV	9000	110000

@Brahmandam-Gayatri
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Brahmandam-Gayatri commented Jun 10, 2024

I computed the trans expected and reran the command. But still the same error:

This is the trans file output:

region1	region2	n_valid	count.sum	balanced.sum	count.avg	balanced.avg
0	chrM	chrIX	378	9299.0	0.206373	24.600529	0.000546
1	chrM	chrV	504	11856.0	0.281875	23.523810	0.000559
2	chrM	chrXIII	783	19297.0	0.440791	24.644955	0.000563
3	chrM	chrXVI	801	18673.0	0.444724	23.312110	0.000555
4	chrM	chrIII	288	6642.0	0.147612	23.062500	0.000513
...	...	...	...	...	...	...	...
131	chrVII	chrXI	7102	45664.0	3.478307	6.429738	0.000490
132	chrVII	chrIV	15688	97194.0	7.622758	6.195436	0.000486
133	chrX	chrXI	4757	33967.0	2.578139	7.140425	0.000542
134	chrX	chrIV	10508	62620.0	5.130233	5.959269	0.000488
135	chrXI	chrIV	9916	57778.0	4.469080	5.826745	0.000451
136 rows × 7 columns

Error:

/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
Traceback (most recent call last):
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 298, in _is_compatible_trans_expected
    _ = _is_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 152, in _is_expected
    raise e
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 125, in _is_expected
    raise ValueError(f"Values in {grouping_columns} columns must be unique")
ValueError: Values in ['region1', 'region2'] columns must be unique

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/io.py", line 327, in read_expected_from_file
    _ = is_valid_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 391, in is_valid_expected
    return _is_compatible_trans_expected(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 340, in _is_compatible_trans_expected
    raise e
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/checks.py", line 305, in _is_compatible_trans_expected
    raise ValueError("expected_df does not look like trans-expected") from e
ValueError: expected_df does not look like trans-expected

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/catg1/.local/bin/coolpup.py", line 8, in <module>
    sys.exit(main())
  File "/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/CLI.py", line 493, in main
    expected = io.read_expected_from_file(
  File "/home/catg1/.local/lib/python3.10/site-packages/cooltools/lib/io.py", line 336, in read_expected_from_file
    raise ValueError(
ValueError: Input expected file does not match the schema
Expected must be tab-separated file with a header

My mistake, I reran the command with proper file and it worked, but when I ran plotpup.py, it says there are nans or zero values present:

coolpup.py /path/to/file/sample1.mcool::/resolutions/10000 shifted_tels.bed --flank 100000 --trans --expected expected_trans.txt -o pileup.clp
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/coolpup.py:2156: UserWarning: Ignoring maxdist when using trans
  CC = CoordCreator(
**INFO:coolpuppy:Total number of piled up windows: 0
INFO:coolpuppy:Saved output to pileup.clp**
plotpup.py --input_pups pileup.clp
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/lib/numutils.py:79: RuntimeWarning: Mean of empty slice
  return np.nanmean(amap[c - n // 2 : c + n // 2 + 1, c - n // 2 : c + n // 2 + 1])
Traceback (most recent call last):
  File "/home/catg1/.local/bin/plotpup.py", line 8, in <module>
    sys.exit(main())
  File "/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/plotpuppy_CLI.py", line 369, in main
    fg = plot(
  File "/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/plotpup.py", line 735, in plot
    vmin, vmax = get_min_max(pupsdf["data"].values, vmin, vmax, sym=sym, scale=scale)
  File "/home/catg1/.local/lib/python3.10/site-packages/coolpuppy/plotpup.py", line 83, in get_min_max
    raise ValueError("Data only contains NaNs or zeros")
ValueError: Data only contains NaNs or zeros

@Phlya
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Phlya commented Jun 10, 2024

/usr/lib/python3/dist-packages/scipy/init.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"

I wonder whether it can cause issues...

Can you share the shifted_tels.bed file?

@Brahmandam-Gayatri
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I will try and upgrade numpy version.
Sure, here is the file:
Since bed file format is not supported, I am sharing the google drive link: https://drive.google.com/file/d/1CHV_MUifsFywEsFsJjeB1XqGjKnDUyp5/view?usp=drive_link

@Brahmandam-Gayatri
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I downgraded numpy version but still no windows were generated, and thank you so much taking time out in helping me solve my query Phlya!!

@Phlya
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Phlya commented Jun 10, 2024

You have starts set to 9000, but it should be 90000.
The idea is that the midpoint of each interval is at 100,000 - then with 100,000 flank you pileup starting from 0 and catch the telomere.

@Phlya
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Phlya commented Jun 10, 2024

As an alternative, you can set start to 0, end to e.g. 99,000, and then use --rescale --rescale-size 99 --rescale-flank 0
(you can do the arithmetic so it works correctly with the resolution that you want to use, considering rescale size has to be odd)

@Brahmandam-Gayatri
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Okay, I tried by changing the 9000 to 90000 and I did get two plots (attached herewith), I will try the second method and let you know, thanks again!!
pup_sample2.pdf
pup_sample1.pdf

@Phlya
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Phlya commented Jun 10, 2024

Perfect! No need to try the other method if this worked IMO, the first one should be faster and maybe a little more precise.

@Brahmandam-Gayatri
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Okay, thanks a lot, I will need to do a bit of trial and error for understanding if I am doing the analysis correctly, but I understood the approach. Have a great day ahead, I am closing this issue for now, if I have any further queries I will reopen this, hope that is fine with you!!

@ratheraarif
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@Brahmandam-Gayatri Hi Gayatri, did you figured this out. I am also having the same issue with the telomeric coordinates of yeast, instead of signal being aggregated at the centre, its aggregated at the corner like this:
image
If you solved this issue, can you please share it. I am not sure how to set the flank and how much to shift the coordinates from the beginning.

Thanks!

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