Which browsers does Gencove support?¶
The Gencove dashboard supports Safari, Chrome, Firefox, and Edge. Generally, any WebKit-based browser should work without issues. In case you encounter compatibility issues, please let us know at firstname.lastname@example.org.
How long does it take to get my results back?¶
Results are returned within 6-8 weeks from the time samples arrive in our lab. Let us know if you have special requirements for turnaround time and we'll work with you to make sure your samples are done on time!
How do you deliver the resulting data?¶
Data can be accessed via the Gencove data management website or REST API. For downloading data in bulk, we recommend using the API or our command-line tool.
Do you have an API?¶
Yes, the API can be used to track sample status and automate data delivery. Check out the docs.
Which sequencing machines do you use for low-pass sequencing?¶
We always use the latest Illumina and BGI sequencing machines. Depending on the specifics of your project, we'll use Illumina (NovaSeq, HiSeq X, NextSeq) or BGI (DNBseq) sequencers.
What tools can I use to parse these VCFs?¶
We recommend using
htslib to parse VCFs. Bindings for
htslib are available in a wide variety of programming languages.
What is the meaning of the different fields in my VCF?¶
Please see the VCF specification for details on the technical specifications of the Variant Call Format (VCF).
What is the meaning of the
GT:RC:AC:GP:DS in my VCF?¶
These fields are defined in the header of the VCF, and are copied below for convenience:
##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype"> ##FORMAT=<ID=GP,Number=G,Type=Float,Description="Genotype Probabilities"> ##FORMAT=<ID=DS,Number=1,Type=Float,Description="Estimated Alternate Allele Dosage"> ##FORMAT=<ID=RC,Number=1,Type=Integer,Description="Count of reads with REF allele"> ##FORMAT=<ID=AC,Number=1,Type=Integer,Description="Count of reads with ALT allele">
What does the
LOWCONF filter mean for a variant?¶
LOWCONF filter indicates that the variant was not imputed with high confidence. More precisely, it means that none of the posterior probabilities for the possible genotypes (
1 , or
2) for that variant exceeded
Can I get access to the variants called directly from the BAMs before imputation?¶
Unlike other variant calling + imputation workflows, we do not we do not perform an intermediate variant calling step before imputation. Rather, we impute genotypes directly from the reads; as such, there are no intermediate genotypes or genotype likelihoods generated.
How do you calculate contamination for a sample?¶
Contamination is estimated via examination of reads mapping to the mitochondrial genome. More precisely, reads deviating from the consensus sequence at rare alleles present in the target individual are used to estimate the proportion of reads deriving from a contaminating individual, and therefore the contamination present in the overall sample.
Why are there multiple entries for a given chromosome and position in my VCF? Are these duplicate variants?¶
These are not duplicate variants but multi-allelic sites (i.e., sites with more than one alternative allele) split into multiple biallelic-records (i.e., one alternate allele per line). Multiple such records representing a single multi-allelic site can be joined into a single multi-allelic record using standard tools such as
What is this
* allele in my VCF?¶
How do you impute genotypes when there are no reads at a site?¶
Genotype imputation takes advantage of shared haplotypes between a target individual and haplotypes within a reference panel. The process of imputation itself is the exercise of estimating partially unobserved haplotypes in the target individual and as such, the results of imputation are based not only on local evidence but also on non-local evidence, such as reads on linked sites.
For a more detailed description of the statistical model underlying imputation from low-pass sequencing, please see the Supplementary Note in Wasik et al. 2021.
What program is used for genotype imputation?¶
For most production pipelines,
loimpute is used for genotype imputation from low-pass sequence data. For a more detailed description of the statistical model implemented by
loimpute, please see the Supplementary Note in Wasik et al. 2021. A copy of
loimpute can be requested for academic use at this link.
For a subset of production pipeline configurations, GLIMPSE is used for imputation. These configurations are clearly marked to distinguish them from
What tool is used for CNV calling?¶
We use the following versions of open-source bioinformatics tools in our production pipelines: