How to predict by coordinate

Input the genomic coordinates of your region of interest, using hg38 as the reference genome. This input is the most flexible, and is unconstrained by sequencing coverage or any annotation. Be sure to double-check that the output sequence matches your expected region, and check that the output coverage of A/C bases is above the recommended 70%, which is reflective of DMS-modifiable bases meeting all coverage and quality filters.

For most users, only one set of coordinates will be used to define their region of interest. However, two sets of coordinates may be needed when joining two separate regions together, such as when crossing a splice junction.

When analyzing a region within a larger transcript, it is generally recommended to test “buffer” regions, where the region of interest should be extended by 20-50 nt on each end in order to reduce the likelihood of structures being arbitrarily interrupted by the region borders.

Due to computational and server constraints, users will be limited to a maximum input length of 500 nucleotides and a maximum output of 5 predicted structures, though some regions may yield fewer than that. If this does not suit your needs, consider downloading and running the data and code locally (see Download ).

Predict by Gene


Advanced Options
Chromosomal Coordinates (max 500bp)
Coords 1  
Additional Coordinates
Coords 2 Optional
Coords 3 Optional
Coords 4 Optional



ZNF609
ENST00000326648 (+) ENSG00000180357 (+)

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Predict

  Region Local Coords Chrom Coords Length R N Gini Action
40
CDS 3700-3795 64676166-64676256 / 64678116-64678120 96 0.6627 50 0.38
1
5'UTR 138-263 64460715-64460838 / 64499293-64499294 126 0.5579 50 0.41
2
5'UTR 264-375 64499295-64499406 112 0.6017 50 0.25
3
5'UTR,CDS 376-488 64499407-64499519 113 0.6210 50 0.27
4
CDS 490-585 64499521-64499616 96 0.4713 50 0.30
5
CDS 586-661 64499617-64499692 76 0.6441 50 0.34
6
CDS 662-747 64499693-64499778 86 0.6354 50 0.34
7
CDS 752-859 64499783-64499890 108 0.6726 50 0.34
8
CDS 860-956 64499891-64499987 97 0.7380 50 0.28
9
CDS 957-1080 64499988-64500111 124 0.6723 50 0.26
10
CDS 1082-1174 64500113-64500166 / 64622827-64622865 93 0.4646 50 0.30
11
CDS 1175-1280 64622866-64622971 106 0.6253 50 0.35
12
CDS 1281-1392 64622972-64623052 / 64670346-64670376 112 0.5549 50 0.31
13
CDS 1393-1480 64670377-64670433 / 64673916-64673946 88 0.5019 50 0.38
14
CDS 1481-1564 64673947-64674030 84 0.5895 50 0.40
15
CDS 1565-1645 64674031-64674111 81 0.3702 50 0.31
16
CDS 1646-1721 64674112-64674187 76 0.5164 50 0.36
17
CDS 1725-1815 64674191-64674281 91 0.7002 50 0.35
18
CDS 1820-1895 64674286-64674361 76 0.4949 50 0.35
19
CDS 1896-1971 64674362-64674437 76 0.4209 50 0.33
20
CDS 1972-2074 64674438-64674540 103 0.4467 50 0.36
21
CDS 2075-2152 64674541-64674618 78 0.3964 50 0.32
22
CDS 2156-2257 64674622-64674723 102 0.4145 50 0.30
23
CDS 2262-2345 64674728-64674811 84 0.3998 50 0.27
24
CDS 2347-2416 64674813-64674882 70 0.5546 50 0.31
25
CDS 2417-2492 64674883-64674958 76 0.6549 50 0.37
26
CDS 2493-2571 64674959-64675037 79 0.5691 50 0.34
27
CDS 2572-2657 64675038-64675123 86 0.5875 50 0.35
28
CDS 2658-2745 64675124-64675211 88 0.4927 50 0.29
29
CDS 2747-2831 64675213-64675297 85 0.6784 50 0.38
30
CDS 2832-2909 64675298-64675375 78 0.6203 50 0.40
31
CDS 2910-3012 64675376-64675478 103 0.5071 50 0.31
32
CDS 3014-3099 64675480-64675565 86 0.4884 50 0.33
33
CDS 3100-3186 64675566-64675652 87 0.6345 50 0.39
34
CDS 3188-3275 64675654-64675741 88 0.5402 50 0.26
35
CDS 3276-3359 64675742-64675825 84 0.4326 50 0.26
36
CDS 3360-3435 64675826-64675901 76 0.4429 50 0.32
37
CDS 3437-3530 64675903-64675996 94 0.3323 50 0.27
38
CDS 3531-3610 64675997-64676076 80 0.6768 50 0.38
39
CDS 3612-3699 64676078-64676165 88 0.6295 50 0.38
41
CDS 3796-3897 64678121-64678222 102 0.6379 50 0.34
42
CDS 3898-3995 64678223-64678320 98 0.6555 50 0.32
43
CDS 3997-4075 64678322-64678400 79 0.4862 50 0.36
44
CDS 4078-4156 64678403-64678481 79 0.3890 50 0.29
45
CDS 4161-4254 64680188-64680281 94 0.3168 50 0.39
46
CDS 4259-4450 64680286-64680360 / 64680646-64680762 192 0.4568 50 0.41
47
CDS 4451-4525 64680763-64680837 75 0.5927 50 0.38
48
CDS 4526-4607 64680838-64680862 / 64681309-64681365 82 0.5622 50 0.33
49
CDS,3'UTR 4608-4699 64681366-64681387 / 64681692-64681761 92 0.3617 50 0.36
50
3'UTR 4700-4795 64681762-64681857 96 0.5669 50 0.48
51
3'UTR 4796-4916 64681858-64681978 121 0.3559 50 0.42
52
3'UTR 4917-5239 64681979-64682301 323 0.3411 50 0.43
53
3'UTR 5241-5345 64682303-64682407 105 0.6889 50 0.46
54
3'UTR 5346-5438 64682408-64682500 93 0.6677 50 0.48
55
3'UTR 5441-5678 64682503-64682740 238 0.5400 50 0.41
56
3'UTR 5682-5772 64682744-64682834 91 0.6754 50 0.37
57
3'UTR 5775-5886 64682837-64682948 112 0.5690 50 0.39
58
3'UTR 5888-5985 64682950-64683047 98 0.7613 50 0.41
59
3'UTR 5986-6118 64683048-64683180 133 0.4942 50 0.40
60
3'UTR 6120-6218 64683182-64683280 99 0.4830 50 0.36
61
3'UTR 6219-6317 64683281-64683379 99 0.8216 50 0.40
62
3'UTR 6318-6428 64683380-64683490 111 0.6672 50 0.43
63
3'UTR 6431-6507 64683493-64683569 77 0.4762 50 0.38
64
3'UTR 6508-6598 64683570-64683660 91 0.6383 50 0.42
65
3'UTR 6601-6725 64683663-64683787 125 0.6094 50 0.44
66
3'UTR 6727-6835 64683789-64683897 109 0.6966 50 0.50
67
3'UTR 6836-6954 64683898-64684016 119 0.5830 50 0.35
68
3'UTR 6956-7048 64684018-64684110 93 0.5188 50 0.40
69
3'UTR 7049-7143 64684111-64684205 95 0.2942 50 0.31
70
3'UTR 7150-7231 64684212-64684293 82 0.6987 50 0.42
71
3'UTR 7234-7310 64684296-64684372 77 0.6581 50 0.45
72
3'UTR 7312-7412 64684374-64684474 101 0.6838 50 0.34
73
3'UTR 7413-7510 64684475-64684572 98 0.6089 50 0.34
74
3'UTR 7511-7598 64684573-64684660 88 0.3615 50 0.30
75
3'UTR 7600-7709 64684662-64684771 110 0.4656 50 0.35
76
3'UTR 7710-7811 64684772-64684873 102 0.5162 50 0.38
77
3'UTR 7814-7898 64684876-64684960 85 0.5074 50 0.37
78
3'UTR 7900-8009 64684962-64685071 110 0.9401 50 0.61
79
3'UTR 8017-8180 64685079-64685242 164 0.4488 34 0.40
Download CSV

Custom Gene Windows

Gene Window Instructions/Interpretation
  1. Search for a gene by name. For each gene, only the canonical transcript (as defined by UCSC in GRCh38.106) is shown. Some gene names may correspond to multiple genomic locations.
  2. For the selected gene, a scatterplot showing the Gini indices, where a high Gini index corresponds to a highly-structured region, for small windows within the transcript. For small RNAs, these windows are sized 20 valid (coverage- and quality-filtered) A/C data points; for all other transcripts, these windows are sized 50 valid A/C data points, due to the ability of DMS to modify primarily A/C bases. In regions with sufficient coverage, these windows correspond to actual transcript lengths of roughly 40 and 100 nucleotides, respectively.
  3. Select a window of interest, either from the scatter plot or from the table below. Generally, windows with a high Gini will yield better results, where the DMS signal aligns more accurately with the predicted base-pais. Windows with high Gini indices relative to the rest of the transcript can also be used to find functional structural elements (ex: TFRC iron response elements).
  4. If previously-defined windows do not suit your needs, you can define a custom window either using (1) the slider below the scatterplot, which shows both a heatmap of previously-defined windows as well as the locations of each UTR and CDS; or (2) custom coordinate-based entry via Predict by Coordinates.
See About for more information on the dataset and for best practices in structure determination.

completed
ZNF609

Aoi: Chr: Coords Strand:
ZNF609-7642-8141 15 64684704 - 64685203 +
production / b252b9f76a / 2025-07-18 06:39