new
Note: Released May 21, 2025
Description
NOTE:
Some rights reserved. This work permits non-commercial use, distribution and reproduction in any
medium, provided the original author and source are credited. The data and code underlying this
project are copyright Johannes Birgmeier.
We take no responsibility for diagnoses or medical decisions based on information obtained from this
website.
Varaico
stands for "Variation Research Advancing Insight in Complex Organisms". Varaico was created using
literature mining, similar to AVADA. Varaico variants are generated by an automated process that
extracts purely factual information about genes from scientific papers (by matching strings against
gene names) and HGVS variant descriptions (using regular expressions). Varaico aims to reduce
false-positive gene and variant mentions and link them together appropriately, but nonetheless, many
variants displayed are not mapped to the genomic position intended by the authors.
For data questions, Varaico can be contacted at
jbirgmei@gmail.
com
Display Conventions and Configuration
Genomic locations of variants are labeled with the HGNC gene symbol and the variant change.
Mouse over the variants to show the gene, variant, latest author/year/title, number of publications
mentioning the variant, and variant effect. Clicking on an item will provide a link directly to
Varaico to view all publications mentioning this variant.
The items are colored based on the amount of literature support as described on the table below:
Color |
Level of literature support |
|
More than 20 papers mention the variant |
|
Some papers mention the variant |
|
Few papers mention the variant |
Data access
The raw data can be explored interactively with the Table Browser
or the Data Integrator. The data can be accessed from scripts through our
API, the track name is "varaico".
For automated download and analysis, the genome annotation is stored in a bigBed file that
can be downloaded from
our download server.
The file for this track is called varaico.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, e.g.
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg38/bbi/varaico.bb -chrom=chr21 -start=0 -end=10000000 stdout
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