7072384d5e6f4228bec4186d3d677527be0c9bc5 mspeir Fri Jun 26 09:37:20 2026 -0700 Adding data access to hs1 pages on the RR, refs # diff --git src/hg/makeDb/trackDb/human/hs1/html/sedefSegDups.html src/hg/makeDb/trackDb/human/hs1/html/sedefSegDups.html index 6ea3c2425c5..3ac4de69c31 100644 --- src/hg/makeDb/trackDb/human/hs1/html/sedefSegDups.html +++ src/hg/makeDb/trackDb/human/hs1/html/sedefSegDups.html @@ -10,30 +10,54 @@ The following colors are used to distinguish levels of similarity:

less than 90% similarityPurple
90 - 98% similarityLight to dark gray
98 - 99% similarityYellow
greater than 99% similarityOrange

Methods

Sedef was run with default parameters on a RepeatMasked genome assembly. The resulting output (final.bed) was then converted into a browser friendly format (bed9 + extra fields).

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Data Access

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+The raw data can be explored interactively with the +Table Browser or the +Data Integrator. The data can also be +accessed from scripts through our REST +API, where the track name is sedefSegDups.

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+For automated analysis, the data may be downloaded from our +download server as a +bigBed file. The file for this track is called sedefSegDups.bb. Individual regions or the whole +genome annotation can be obtained using our tool bigBedToBed, which can be compiled from +the source code or downloaded as a precompiled binary for your system. Instructions for downloading +source code and binaries can be found +here. +The tool can also be used to obtain only features within a given range, for example:

+bigBedToBed https://hgdownload.soe.ucsc.edu/gbdb/$db/sedefSegDups/sedefSegDups.bb -chrom=chr6 -start=0 -end=1000000 stdout +

+Please refer to our +mailing +list archives for questions, or our +Data Access FAQ for more +information.

+

Credits

References

M. R. Vollger et al., Segmental duplications and their variation in a complete human genome. Science. 2022 April 1; eabj6965. DOI: 10.1126/science.abj6965

Numanagic I, Gökkaya AS, Zhang L, Berger B, Alkan C, Hach F. Fast characterization of segmental duplications in genome assemblies. Bioinformatics. 2018 Sep 1;34(17):i706-i714. PMID: 30423092;