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



LMNA
ENST00000675939 (+) ENSG00000160789 (+)

Visualize entire gene
100
150
300
500
+
-
Predict

  Region Local Coords Chrom Coords Length R N Gini Action
1
5'UTR 18-90 156114717-156114789 73 0.6317 50 0.19
2
5'UTR 91-173 156114790-156114872 83 0.7765 50 0.18
3
5'UTR,CDS 177-260 156114876-156114959 84 0.8157 50 0.22
4
CDS 262-351 156114961-156115050 90 0.8067 50 0.21
5
CDS 353-452 156115052-156115151 100 0.8538 50 0.21
6
CDS 455-543 156115154-156115242 89 0.8530 50 0.21
7
CDS 547-649 156115246-156115274 / 156130617-156130690 103 0.8787 50 0.18
8
CDS 650-756 156130691-156130773 / 156134403-156134426 107 0.9623 50 0.25
9
CDS 757-852 156134427-156134522 96 0.8599 50 0.13
10
CDS 853-964 156134523-156134528 / 156134805-156134910 112 0.9067 50 0.17
11
CDS 968-1063 156134914-156134975 / 156135187-156135220 96 0.8546 50 0.21
12
CDS 1065-1151 156135222-156135308 87 0.9256 50 0.20
13
CDS 1153-1252 156135310-156135312 / 156135901-156135997 100 0.9069 50 0.21
14
CDS 1256-1348 156136001-156136093 93 0.8434 50 0.19
15
CDS 1350-1441 156136095-156136121 / 156136214-156136278 92 0.9368 50 0.27
16
CDS 1442-1524 156136279-156136361 83 0.9220 50 0.23
17
CDS 1525-1633 156136362-156136436 / 156136921-156136954 109 0.9067 50 0.21
18
CDS 1634-1736 156136955-156137028 / 156137113-156137141 103 0.8453 50 0.21
19
CDS 1737-1826 156137142-156137231 90 0.8818 50 0.22
20
CDS 1827-1926 156137232-156137232 / 156137654-156137743 / 156138488-156138496 100 0.7314 50 0.20
21
CDS 1929-2022 156138499-156138592 94 0.8166 50 0.26
22
CDS 2025-2137 156138595-156138707 113 0.8140 50 0.30
23
CDS,3'UTR 2138-2213 156138708-156138757 / 156139080-156139105 76 0.5889 50 0.23
24
3'UTR 2214-2317 156139106-156139209 104 0.9052 50 0.56
25
3'UTR 2318-2401 156139210-156139293 84 0.8520 32 0.33
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.

completed
17
LMNA

Aoi: Chr: Coords Strand:
LMNA 1 156136362 - 156136436, 156136921 - 156136954 +


  • Annotation Based on canonical annotations, the following gene is in your area of interest: LMNA(+)
  • Length Length of region: 109 nt.
  • Coverage 100.0% of the region's A/C bases included in the filtered DMS dataset. Ideally, this number should be as high as possible for an experimenally-accurate prediction, and over 70% is recommended.
  • Structures This region has 10 maximum predicted structures. 5 is the maximum structures visible on this site. For up to 20 predictions per region, download and run the code locally.
production / 8daaec85cb / 2026-01-15 03:49