40710f848501eb48692babdc889a513f3dcda7ef
abenetpa
Fri Sep 25 09:01:51 2020 -0700
improved color code descriptions refs #25424
diff --git src/hg/makeDb/trackDb/human/dbVarCommon.html src/hg/makeDb/trackDb/human/dbVarCommon.html
index a386a35..f619a9a 100644
--- src/hg/makeDb/trackDb/human/dbVarCommon.html
+++ src/hg/makeDb/trackDb/human/dbVarCommon.html
@@ -43,42 +43,49 @@
Variants with AF >= 0.01 for
Global Population.
NCBI Curated Common SVs: all populations from gnomAD -
Variants with AF >= 0.01 from
gnomAD Structural Variants.
NCBI Curated Common SVs: all populations from 1000 Genomes -
Variants with AF >= 0.01 from
1000 Genomes Consortium Phase 3 Integrated SV.
NCBI Curated Common SVs: all populations from DECIPHER -
Variants with AF >= 0.01 from
DECIPHER Consensus CNVs.
Display Conventions and Configuration
-Items in all subtracks follow the same conventions: items are shaded according to variant type.
+Items in all subtracks follow the same conventions: items are colored by variant type, and are
+based on the dbVar colors described in the
+dbVar Overview page.
Red for copy number loss or deletion,
-blue for copy number gain or duplication and
-violet for copy number variation. Mouseover on items indicates
-Allele Frequencies (AF). All tracks can be filtered according to the Variant Size and Variant Type.
+blue for copy number gain or duplication, and
+violet for copy number variation.
+
+
+
+Mouseover on items indicates genes affected, size, variant type, and allele frequencies (AF).
+All tracks can be filtered according to the Variant Size and Variant Type.
+
Data Access
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.
Credits
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 Genome Browser team for engineering the track display.
References
Lappalainen I, Lopez J, Skipper L, Hefferon T, Spalding JD, Garner J, Chen C, Maguire M, Corbett M,
Zhou G et al.