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



SGMS1
ENST00000361781 (-) ENSG00000198964 (-)

Visualize entire gene
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Predict

  Region Local Coords Chrom Coords Length R N Gini Action
1
5'UTR 97-208 50623749-50623860 112 0.5142 50 0.49
2
5'UTR 210-315 50590183-50590247 / 50623707-50623747 106 0.2626 50 0.33
3
5'UTR 316-411 50519856-50519921 / 50590153-50590182 96 0.1927 50 0.27
4
5'UTR 413-575 50460719-50460814 / 50519831-50519854 163 0.4968 50 0.41
5
5'UTR 576-714 50344334-50344345 / 50433476-50433556 / 50460673-50460718 139 0.3568 50 0.35
6
5'UTR 717-807 50344241-50344331 91 0.4636 50 0.30
7
5'UTR 808-899 50344149-50344240 92 0.4477 50 0.34
8
5'UTR,CDS 901-1012 50344036-50344147 112 0.7029 50 0.36
9
CDS 1013-1097 50343951-50344035 85 0.6062 50 0.35
10
CDS 1098-1183 50343865-50343950 86 0.5303 50 0.34
11
CDS 1184-1258 50343790-50343864 75 0.5401 50 0.34
12
CDS 1259-1360 50343688-50343789 102 0.6029 50 0.36
13
CDS 1364-1458 50343590-50343684 95 0.7093 50 0.36
14
CDS 1459-1575 50327304-50327322 / 50343492-50343589 117 0.4745 50 0.30
15
CDS 1581-1686 50311404-50311415 / 50327205-50327298 106 0.7446 50 0.42
16
CDS 1691-1789 50311301-50311399 99 0.6582 50 0.31
17
CDS 1790-1902 50308075-50308148 / 50311262-50311300 113 0.6514 50 0.33
18
CDS 1905-2001 50307316-50307321 / 50307982-50308072 97 0.5360 50 0.31
19
CDS 2002-2101 50307216-50307315 100 0.4430 50 0.25
20
CDS,3'UTR 2102-2195 50307122-50307215 94 0.6527 50 0.28
21
3'UTR 2196-2276 50307041-50307121 81 0.4425 50 0.27
22
3'UTR 2277-2376 50306941-50307040 100 0.5835 50 0.35
23
3'UTR 2377-2470 50306847-50306940 94 0.5298 50 0.37
24
3'UTR 2471-2573 50306744-50306846 103 0.5987 50 0.39
25
3'UTR 2574-2684 50306633-50306743 111 0.5923 50 0.36
26
3'UTR 2685-2783 50306534-50306632 99 0.4508 50 0.35
27
3'UTR 2788-2883 50306434-50306529 96 0.4188 50 0.32
28
3'UTR 2884-3005 50306312-50306433 122 0.2249 50 0.32
29
3'UTR 3009-3112 50306205-50306308 104 0.3486 50 0.34
30
3'UTR 3114-3213 50306104-50306203 100 0.6158 50 0.45
31
3'UTR 3214-3316 50306001-50306103 103 0.4877 50 0.36
32
3'UTR 3317-3412 50305905-50306000 96 0.7003 50 0.44
33
3'UTR 3415-3519 50305798-50305902 105 0.4666 50 0.34
34
3'UTR 3531-3583 50305734-50305786 53 0.2667 28 0.29
Download CSV

Custom Gene Windows

No custom gene windows have been created yet.
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.
production / b252b9f76a / 2025-07-17 17:49