1bd2b1f3f86df6284bc45e1075fe011d215d1d78 abenetpa Thu May 21 09:19:55 2020 -0700 correct typos as in refs #25424 diff --git src/hg/makeDb/trackDb/human/dbVarCurated.html src/hg/makeDb/trackDb/human/dbVarCurated.html index 232f461..29c956c 100644 --- src/hg/makeDb/trackDb/human/dbVarCurated.html +++ src/hg/makeDb/trackDb/human/dbVarCurated.html @@ -1,85 +1,85 @@
The tracks listed here contain data from the nstd186 (NCBI Curated Common Structural Variants) study. This is a collection of structural variants (SV) originally submitted to dbVar which are part of a study with at least 100 samples and have an allele frequency of >=0.01 in at least one population. The complete dataset is imported from these common-population studies:
gnomAD Structural Variants (nstd166): Catalog of SVs detected from the sequencing of the complete genome of 10,847 unrelated individuals from the GnomAD v2.1 release.
1000 Genomes Consortium Phase 3 Integrated SV (estd219): Structural variants of the 1000 Genomes project Phase 3 as reported in a separate article specifically dedicated to the analysis of SVs. Many of these data are identical to those reported in the estd214 study.
DECIPHER Common CNVs (nstd183): Consensus set of common population CNVs selected from high-resolution controls sets where frequency information is available.
There are two tracks in this collection:
These tracks are multi-view composite tracks that contain multiple data types (views). Each view within a track has separate display controls, as described here. Some dbVar tracks contain multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some subtracks will be displayed by default. The user can select which subtracks are displayed via the display controls on the track details page.
-The raw data can be explored interactively with the Table Browser, or the Data Integrator. For automated analysis, the data may be queried from our REST API. The data can also be found directly from the dbVar nstd186 data access. For questions about dbVar track data, please contact dbvar@ncbi.nlm.nih.gov.
Thanks to the dbVAR team at NCBI, especially Timothy Hefferon for technical coordination and -consultation, and to Christopher Lee, Anna Benet-Pages, and Maximilian Haeussler of the Genom +consultation, and to Christopher Lee, Anna Benet-Pages, and Maximilian Haeussler of the Genome Browser team for engineering the track display.
Lappalainen I, Lopez J, Skipper L, Hefferon T, Spalding JD, Garner J, Chen C, Maguire M, Corbett M, Zhou G et al. DbVar and DGVa: public archives for genomic structural variation. Nucleic Acids Res. 2013 Jan;41(Database issue):D936-41. PMID: 23193291; PMC: PMC3531204