Last month, the researchers at Google DeepMind announced the release of AlphaMissense, a new missense prediction algorithm that leverages the protein structure prediction model AlphaFold to distinguish between benign and pathogenic missense variants (Cheng et al., 2023). AlphaFold is a model for the prediction of protein structures from amino acid sequences. During the development of AlphaMissense, the AlphaFold model was… Read more »
When interpreting fusions in their VCF format, it is not easy immediately grasp which side of the positions are adjacent in the resulting fusion. When interpreting and troubleshooting fusion variants, I usually find myself reaching for the VCF spec. If you, like me, are looking to speed up this process and gain a quick understanding of the fusions in your… Read more »
The ability to import patient-level information into VarSeq and VSClinical can not only save time while evaluating a sample but can be a critical step in automating project creation through VSPipeline. Here we will review how to construct a basic text manifest and how to apply that manifest to a project. Those fields can then be rendered into the final… Read more »
When doing clinical variant analysis, it is often essential to keep track of the variants that are encountered in each sample, their pathogenic or oncogenic classifications, which individual created or saved an interpretation, and when. For this purpose, VarSeq prompts VSClinical users to create default assessment catalogs in which to store variants and other events. However, we are aware that… Read more »
Learn how VarSeq revolutionizes NGS workflows by enabling the integration of comprehensive internal databases, allowing bioinformaticians to create custom pipelines and maximize data analysis efficiency. Are you a current (or future) VarSeq user with a perfect, comprehensive, internal database you simply can’t part with and can’t replicate? Do you dream of coalescing many disparate workflows into a consistent, reliable pipeline?… Read more »
Enhancing VarSeq Customization and Automation with Visual Studio Code: A Guide to Evaluation and Reporting Scripting Are you as excited as we are about the new automation and customization features we’ve been rolling out with VarSeq’s most recent release, VarSeq 2.3.0? Do your eyes light up at the prospect of automated integration of various data sources into VarSeq’s evaluation and… Read more »
Unlocking the Potential of CRAM Files: The New VarSeq 2.3.0 Release for Enhanced Plotting, Coverage Analysis, and CNV Detection The CRAM (Compressed Reference-oriented Alignment Map) file format was conceived in 2011 as a more space-efficient way to store alignment data. It saves space over the previous standard BAM (Binary Alignment Map) by only storing the differences between each read and… Read more »
Golden Helix provides extensive resources to help our users who are just getting started and address any issues they may encounter as they become more familiar with our software. Our resources are constantly updated and are tailored to the needs of our users. If you’re facing a problem, it’s likely that others have encountered it as well, and we’ve included… Read more »
There are many reasons a user may wish to focus in on specific variants as part of variant annotation and filtration workflow. You may be looking for the occurrence of specific SNPs in a cohort or perhaps looking for variants known to be associated with specific forms of cancer. For both of these use cases, VarSeq provides a Match String… Read more »
Large genetic cohorts require substantial effort to analyze. Genetic researchers are increasingly turning to whole exome and whole genome sequencing analyses for their clinical diagnostics and research. However, with that approach comes the challenge of making sense of these massive datasets. This is especially challenging when looking for tools that can streamline variant analysis for large genetic cohorts and include… Read more »
As the number of genes on a gene panel increases, there is the possibility of picking up variants of medical significance that are not related to the primary indication for the test. Especially with large gene panels, exomes, and genomes, it is medically and ethically important to report variants that may be actionable to the patient. These include variants implicating… Read more »
VarSeq serves as a streamlined approach to handle the rare variant analysis typically carried out for your next-generation sequencing data. Our team at Golden Helix seeks to simplify this process by automating the curation of staple databases needed for filtering and evaluation of clinically relevant variants. The goal we seek to accomplish with our software is to provide ease in… Read more »
VCF file format comes with a lot of interesting quality assurance and statistics fields that can be used for filtering in VarSeq. Open your files in a text editor to see all the fields that are available in your files, each field will have a header line with a description of its content. See the VCF Specifications to help with… Read more »
One of the many tricks of encoding so much functionality into so little space in eukaryotic genomes is the ability to produce multiple distinct mRNAs (transcripts) from a single gene. While one transcript is often the dominant one for a given tissue or cell type, there are, of course, exceptions in the messy reality of biology. It doesn’t take many… Read more »
A common feature request from Golden Helix customers is to curate and make available genome assemblies for different plant and animal species. These requests commonly come from SVS users as many research projects are being carried out, and having the genome assembly available for analysis is essential. That being said, Golden Helix has an SVS Tutorial available that walks users… Read more »
VSPipeline is a command-line interface that will provide high throughput environments the ability to tap the full power of VarSeq’s algorithms and flexible project template system from any command-line context, including the existing bioinformatics pipeline. This feature is a great resource for analyzing large sample volumes as it automates importing and annotating your data, which can help streamline your analysis… Read more »
With the latest release of VarSeq, we have made significant updates to our handling of the interaction of variants and genes. This includes the support for non-coding transcripts, improved splice site predictions, and updates to gene and transcript annotations. We received several questions regarding how decisions are made in the software regarding genes and transcripts with these gene-related changes. This… Read more »
The collaboration between the Clinical Genome Resource (ClinGen) consortium and the American College of Medical Genetics (ACMG) recently developed published guidelines for the interpretation of CNVs called on next-generation sequencing data. These new guidelines are the first to provide a robust set of rules for the interpretation of small intragenic deletions and duplications and are now automated in VSClinical. … Read more »
When using VarSeq; annotations, application settings, and assessment catalogs are all stored locally. Sometimes these resources can grow to large space grabbing directories, causing you to either purchase additional storage devices or getting rid of previously downloaded resources you might need down the road. But there’s hope! You can set where you want all of your data stored to be… Read more »
We find ourselves talking about our partnership with Sentieon, a lot! More specifically, we are always extolling the powerful, comprehensive genomic data analysis solution we are able to offer our clients. Sentieon’s Secondary Analysis Suite made a significant improvement in runtime over BWA-MEM, GATK, Mutect, and MuTect2 while providing deterministic and identical results. Here are two fantastic white papers that… Read more »
