Category Archives: Best practices in genetic analysis

Greta Linse Peterson

Comparing Meta-Analysis Methods: A Meta Examination

Meta-analysis is an important tool to have in the bioinformatics toolbox. The numbers alone speak for themselves. It is the fourth most requested feature for SVS, and a simple google scholar search for 2014 and 2015 find 17,300 results for … Continue reading

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Gabe Rudy

Unique Labs, Common Tool: Making VarSeq Ready for Clinical Workflows

As VarSeq has been evaluated and chosen by more and more clinical labs, I have come to respect how unique each lab’s analytical use cases are. Different labs may specialize in cancer therapy management, specific hereditary disorders, focused gene panels … Continue reading

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Andreas Scherer

Introducing Phenotype Gene Ranking in VarSeq

Personal genome sequencing is rapidly changing the landscape of clinical genetics. With this development also comes a new set of challenges. For example, every sequenced exome presents the clinical geneticist with thousands of variants. The job at hand is to find out … Continue reading

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Cheryl Rogers

Q&A Surrounding Population-Based DNA Variant Analysis

Last month, Dr. Bryce Christensen presented Population-Based DNA Variant Analysis via webcast. The webcast reviewed the fundamentals of population-based variant analysis and demonstrated some of the tools available in SVS for analysis of both common and rare variants such as the … Continue reading

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Cheryl Rogers

Q&A from our December Genomic Prediction webcast

Our Genomic Prediction webcast in December discussed using Bayes-C pi and Genomic Best Linear Unbiased Predictors (GBLUP) to predict phenotypic traits from genotypes in order to identify the plants or animals with the best breeding potential for desirable traits. The … Continue reading

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Bryce Christensen

To Impute, or not to Impute

Genotype imputation is a statistical technique for estimating sample genotypes at loci that were not directly assayed by sequencing or microarray experiments.  There are several reasons why you might want to use imputation in a research study.  For example: Improve … Continue reading

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Andreas Scherer

Genetic Testing for Cancer

In 1914 the German cytologist Theodor Boveri coined the phrase “Cancer is a disease of the genome”. At this time his ideas were equally revolutionary as they were highly contested. Fast forward. More than hundred years later, Next-Generation Sequencing effectively … Continue reading

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Cheryl Rogers

Dr. Andreas Scherer to speak at ITI 2015

The Integrative Therapies Institute is soon hosting the annual, ITI 2015 conference January 23rd through the 25th in sunny San Diego and our own Dr. Andreas Scherer has been invited to speak. Some of the most prominent genomic and integrative … Continue reading

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Gabe Rudy

In Pursuit of Longevity: Analyzing the Supercentenarian Whole Genomes with VarSeq

If you haven’t been closely watching the twittersphere or other headline sources of the genetics community, you may have missed the recent chatter about the whole genome sequencing of 17 supercentenarians (people who live beyond 110 years). While genetics only … Continue reading

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Ashley Hintz

Analyzing Whole Exome, Large-n Cohorts in SVS

It’s come to my attention in recent weeks, through various customer interactions, that many are not aware of the fantastic functionalities that exist in SNP and Variation Suite (SVS) for large-n DNASeq workflows; this includes large cohort analyses with case/control … Continue reading

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