![]() |
Knowing Your NGS Downstream: Functional PredictionsMay 15, 2013 This presentation will review several of the functional prediction tools that are currently available to help researchers determine the functional consequences of genetic alterations. The biological principals underlying functional predictions will be discussed together with an overview of the methodology used by each of the predictive algorithms. Finally, we will discuss how these predictions can be accessed and used within the Golden Helix SNP & Variation Suite (SVS) software. |
![]() |
Knowing Your NGS Upstream: Alignment and VariantsMarch 27, 2013 This presentation will compare the performance of the alignment and variant calling tools used by sequencing service providers including Illumina Genome Network, Complete Genomics and The Broad Institute. Using public samples analyzed by each pipeline, we will look at the level of concordance and dive into investigating problematic variants and regions of the genome. |
![]() |
Insights: Identification of Candidate Variants using Exome Data in Ophthalmic GeneticsMarch 7, 2013 Technological advances in next generation sequencing provide clinicians and researchers with more effective methods to identify pathogenic gene mutations for heritable diseases. To date, the National Eye Institute Bank lists over 450 genes associated with eye-related disorders. Analytical processing of large datasets generated can be cumbersome for all parties involved and some issues that can cause inefficiencies include learning programming languages and reliance on inconsistent freeware. In this webcast, we demonstrate the ability to maximize Golden Helix tools to find potential pathogenic variants in rare ocular diseases. |
![]() |
AGBT 2013: Home Brewed Personalized Genomics - The Quest for Meaningful Analysis Results of a 23andMe Exome Pilot Trio of Myself, Wife, and SonFebruary 22, 2013 Personalized genomics may be moving into a new era with whole-exome and whole-genome sequencing becoming affordable and available to consumers. 23andMe recently piloted a more affordable 80x exome to their existing customers. But it remains to be seen whether this wealth of raw genomic data can be analyzed to provide meaningful results for both healthy and symptomatic individuals. By acquiring 23andMe exomes on his own family, Gabe put himself in the position of a bioinformatically inclined consumer, but non-clinician, to approach this question with his own analysis. His trio consists of a healthy father and son, and a mother with clinically-diagnosed idiopathic rheumatoid arthritis. |
![]() |
New Study Identifies High-Risk Variants Associated with Autism Spectrum DisordersJanuary 29, 2013 Since 2002, Lineagen has been building the largest proprietary collection of ASD-related genetic variants and, in 2011, spearheaded a study to increase the clinical yield of the company's genetic diagnostic test, FirstStepDx. To find candidate variants, Linegean selected the Golden Helix services team as well as the Children's Hospital of Philadelphia Center for Applied Genomics to concurrently perform quality control, analyze the data, and interpret the results. In this webcast, Dr. Hakonarson, Dr. Leppert, Dr. Paul, and Dr. Hensel outline the study and methodology approach utilized by Lineagen to achieve a two-fold increase in detection rate of genetic variants in individuals with ASD, and Dr. Christensen shares the analytic processes Golden Helix used in this valuable research. |
![]() |
@gabeinformatics: 23andMe Variant Analysis of My Personal ExomeDecember 5, 2012 Join Gabe Rudy as he explores his personal exome provided by the Exome Pilot project of 23andMe. Gabe will be acting as an asymptomatic consumer enthusiast as he applies the transparent techniques of high-impact variant discovery using SNP & Variation Suite (SVS) and GenomeBrowse. As he weeds out false positives and genes with low functional significance, Gabe will face the more daunting challenge of interpreting highly credible loss of function or missense variants and what if any impact that would infer to his disease risk, pharmacogenomic profile, or other annotated genomic traits. |
![]() |
SVS 7.7 in ActionNovember 20, 2012 Welcome to the seventh installment of the most powerful collection of high-performance analytic tools for managing, analyzing, and visualizing complex genomic data. SVS 7.7 includes: improved RNA-Seq Analysis Package for mRNA expression profiling, streamlined DNA-Seq workflows, and more. |
![]() |
Reproducing a DNA-Seq Discovery: Finding the Causal Variant of a Novel X-Linked DisorderOctober 24, 2012 In this webcast, we will analyze clinical samples to demonstrate the bioinformatic workflows and visualization techniques used to reproduce the published findings of "Ogden Syndrome" - a novel X-linked fatal genetic disorder. The analysis will be based on X chromosome exon capture and sequencing. Using SVS, we will incorporate known variant catalogs, variant classification, functional prediction, and family-based filtering to find putative causal variants. Using GenomeBrowse to investigate and confirm the analysis results, we will reproduce the single putative variant finding that was confirmed and published as the causal variant of this disorder. |
![]() |
GenomeBrowse: A revolutionary visual experience for genomic dataSeptember 12, 2012 Golden Helix GenomeBrowseTM is an evolutionary leap in genome browser technology that combines an attractive and informative visual experience with a robust, performance-driven backend. The marriage of these two equally important components results in a product that makes other genome browsers look like 1980s DOS programs. |
![]() |
Identification of Candidate Functional Polymorphism Using Trio Family Whole Exome DNA DataAugust 8, 2012 Personalized genomics, using a trio study design (father, mother, and affected child) allows the identification of candidate novel and rare polymorphisms that have the potential to cause disease. In this presentation, Dr. Kenneth Kaufman will demonstrate the analysis of whole-exome DNA sequencing data from a family trio study. Typically, these studies generate ~100,000 variations per trio. In an advanced workflow, a combination of functional and sequence quality control measurements will be used to filter the DNA sequence data to obtain a small number of candidate de Novo, rare-recessively inherited, and compound heterozygous mutations. |
![]() |
Raise Your Expectations of Agrigenomic Genetic Research SoftwareJuly 26, 2012 Improving the value of crops and livestock in today's world requires an in-depth understanding of genetic variation and how it relates to traits of interest. Such understanding starts with high quality data. But it's made possible through powerful analytics. You paid good money for your data. Now you can take advantage of all it has to offer.In this webcast, Dr. Bryce Christensen will introduce SNP & Variation Suite 7 for agricultural genetic research. SVS 7 delivers world-class analytic tools in a user-friendly, yet extraordinarily powerful interface. No more struggling to coerce command-line software – designed exclusively for human genetics – to work for the plant or animal species you're studying. SVS 7 supports a wide-variety of species enabling you to quickly and easily identify variants related to pest and disease resistance, increased feed efficiency, milk production, and more. |
![]() |
Leveraging Annotation Databases and Bioinformatic Filtering to Effectively Analyze NGS DataJune 26, 2012 |
![]() |
Learning From Our GWAS Mistakes: From experimental design to scientific methodApril 19, 2012 |
![]() |
Speeding Up the Hunt for Casual Trait Mutations in Cattle and Other Agrigenomic SpeciesDecember 7, 2011 |
![]() |
ASHG Ancillary Event: Effectively Deriving Meaning from DNA Resequencing Variant AnalysisOctober 13, 2011
|
![]() |
ASHG Ancillary Event: Optimization of Illumina mRNA-Seq Experimental Results and Conversion to a User Friendly Analysis SolutionOctober 13, 2011 |
![]() |
Sequence Variant Analysis with Golden Helix SNP & Variation SuiteSeptember 28, 2011 |
![]() |
Next-Gen Sequencing Workshop: How to Effectively Derive Meaning from DNA Variant DataAugust 11, 2011 |
![]() |
First Look at SVS 7.5August 3, 2011 |
![]() |
First Look at SVS 7.4February 2, 2011 |
![]() |
ASHG 2010: Improving the Power of Your Study with Advanced Genotype Calling, Imputation, and Next-Generation SequencingNovember 4, 2010 |
![]() |
Common Genetic Variants Modulate Nicotinic Alpha5 Receptor mRNA Expression and Risk for Nicotine DependenceOctober 27, 2010 |
![]() |
IGES 2010: Combining Next-Gen Sequencing and SNP Microarray Data Using ImputationOctober 10, 2010 |
![]() |
CSCDA 2010: Design and Analysis of GWAS using CNVsAugust 25, 2010 |
![]() |
CSCDA 2010: Genotype Calling and Imputation with BEAGLE and BEAGLECALLAugust 24, 2010 |
![]() |
Introducing SVS 7.3July 28, 2010 |
![]() |
Achieving Genome-Wide Success Part III: Quality Assurance and Data Prep for SNP and CNV Studies December 9, 2009 |
![]() |
ASHG 2009 Ancillary Event: Achieving Genome-Wide Success from SNPs to CNVs to eQTL October 22, 2009 |
![]() |
Achieving Genome-Wide Success Part II: Study Design in SNP and CNV Studies October 7, 2009 |
![]() |
IGES 2009: Overcoming Data Quality and Copy Number Detection Issues in Genome-Wide CNV Association Studies October 19, 2009 |
![]() |
Joint Statistical Meeting 2009 Talk August 5, 2009 |
![]() |
Achieving Genome-Wide Success Part I February 18, 2009 |
![]() |
Genome-Wide Association Analysis Reveals Putative Alzheimer's Disease Susceptibility Loci in Addition to APOE December 2, 2008 |
![]() |
Introduction to SNP & Variation Suite 7Dr. Christophe Lambert and John Nord of Golden Helix introduce the new features and capabilities released in SNP & Variation Suite v7. |
![]() |
Genome Wide SNP and CNV Association Studies Identify Genetic Factors for Lung Cancer October 28, 2008 |
![]() |
IGES 2008 Talk: Methods and Discoveries Drawn from 20 Whole Genome Copy Number Variation Studies September 16, 2008 |
![]() |
Emerging Methods in Whole Genome CNV Association July 23, 2008 |
![]() |
On the Replication of Genetic Associations: Timing Can Be Everything April 15, 2008 |
![]() |
On the Analysis of Copy-Number Variations in Genome-Wide Association Studies: A Translation of the Family-Based Association Test March 18, 2008 |
![]() |
SNP, ROH and CNV Association Analysis Overview with Affymetrix SNP Arrays 5.0 and 6.0 February 7, 2008 |
![]() |
Using Runs of Homozygosity to Identify Recessive Loci January 24, 2008 |
![]() |
Whole Genome Copy Number Association Analysis with Golden Helix November 14, 2007 |
![]() |
Whole Genome Association Study of Schizophrenia May 9, 2007 |
![]() |
Knowing Your NGS Downstream: Functional PredictionsMay 15, 2013 This presentation will review several of the functional prediction tools that are currently available to help researchers determine the functional consequences of genetic alterations. The biological principals underlying functional predictions will be discussed together with an overview of the methodology used by each of the predictive algorithms. Finally, we will discuss how these predictions can be accessed and used within the Golden Helix SNP & Variation Suite (SVS) software. |
![]() |
SVS 7.7 in ActionNovember 20, 2012 Welcome to the seventh installment of the most powerful collection of high-performance analytic tools for managing, analyzing, and visualizing complex genomic data. SVS 7.7 includes: improved RNA-Seq Analysis Package for mRNA expression profiling, streamlined DNA-Seq workflows, and more. |
![]() |
Reproducing a DNA-Seq Discovery: Finding the Causal Variant of a Novel X-Linked DisorderOctober 24, 2012 In this webcast, we will analyze clinical samples to demonstrate the bioinformatic workflows and visualization techniques used to reproduce the published findings of "Ogden Syndrome" - a novel X-linked fatal genetic disorder. The analysis will be based on X chromosome exon capture and sequencing. Using SVS, we will incorporate known variant catalogs, variant classification, functional prediction, and family-based filtering to find putative causal variants. Using GenomeBrowse to investigate and confirm the analysis results, we will reproduce the single putative variant finding that was confirmed and published as the causal variant of this disorder. |
![]() |
Identification of Candidate Functional Polymorphism Using Trio Family Whole Exome DNA DataAugust 8, 2012 Personalized genomics, using a trio study design (father, mother, and affected child) allows the identification of candidate novel and rare polymorphisms that have the potential to cause disease. In this presentation, Dr. Kenneth Kaufman will demonstrate the analysis of whole-exome DNA sequencing data from a family trio study. Typically, these studies generate ~100,000 variations per trio. In an advanced workflow, a combination of functional and sequence quality control measurements will be used to filter the DNA sequence data to obtain a small number of candidate de Novo, rare-recessively inherited, and compound heterozygous mutations. |
![]() |
Raise Your Expectations of Agrigenomic Genetic Research SoftwareJuly 26, 2012 Improving the value of crops and livestock in today's world requires an in-depth understanding of genetic variation and how it relates to traits of interest. Such understanding starts with high quality data. But it's made possible through powerful analytics. You paid good money for your data. Now you can take advantage of all it has to offer.In this webcast, Dr. Bryce Christensen will introduce SNP & Variation Suite 7 for agricultural genetic research. SVS 7 delivers world-class analytic tools in a user-friendly, yet extraordinarily powerful interface. No more struggling to coerce command-line software – designed exclusively for human genetics – to work for the plant or animal species you're studying. SVS 7 supports a wide-variety of species enabling you to quickly and easily identify variants related to pest and disease resistance, increased feed efficiency, milk production, and more. |
![]() |
Leveraging Annotation Databases and Bioinformatic Filtering to Effectively Analyze NGS DataJune 26, 2012 |
![]() |
Learning From Our GWAS Mistakes: From experimental design to scientific methodApril 19, 2012 |
![]() |
ASHG Ancillary Event: Effectively Deriving Meaning from DNA Resequencing Variant AnalysisOctober 13, 2011
|
![]() |
Sequence Variant Analysis with Golden Helix SNP & Variation SuiteSeptember 28, 2011 |
![]() |
Next-Gen Sequencing Workshop: How to Effectively Derive Meaning from DNA Variant DataAugust 11, 2011 |
![]() |
First Look at SVS 7.5August 3, 2011 |
![]() |
First Look at SVS 7.4February 2, 2011 |
![]() |
ASHG 2010: Improving the Power of Your Study with Advanced Genotype Calling, Imputation, and Next-Generation SequencingNovember 4, 2010 |
![]() |
IGES 2010: Combining Next-Gen Sequencing and SNP Microarray Data Using ImputationOctober 10, 2010 |
![]() |
CSCDA 2010: Design and Analysis of GWAS using CNVsAugust 25, 2010 |
![]() |
CSCDA 2010: Genotype Calling and Imputation with BEAGLE and BEAGLECALLAugust 24, 2010 |
![]() |
Introducing SVS 7.3July 28, 2010 |
![]() |
Achieving Genome-Wide Success Part III: Quality Assurance and Data Prep for SNP and CNV Studies December 9, 2009 |
![]() |
ASHG 2009 Ancillary Event: Achieving Genome-Wide Success from SNPs to CNVs to eQTL October 22, 2009 |
![]() |
Achieving Genome-Wide Success Part II: Study Design in SNP and CNV Studies October 7, 2009 |
![]() |
IGES 2009: Overcoming Data Quality and Copy Number Detection Issues in Genome-Wide CNV Association Studies October 19, 2009 |
![]() |
Joint Statistical Meeting 2009 Talk August 5, 2009 |
![]() |
Achieving Genome-Wide Success Part I February 18, 2009 |
![]() |
Introduction to SNP & Variation Suite 7Dr. Christophe Lambert and John Nord of Golden Helix introduce the new features and capabilities released in SNP & Variation Suite v7. |
![]() |
IGES 2008 Talk: Methods and Discoveries Drawn from 20 Whole Genome Copy Number Variation Studies September 16, 2008 |
![]() |
Emerging Methods in Whole Genome CNV Association July 23, 2008 |
![]() |
SNP, ROH and CNV Association Analysis Overview with Affymetrix SNP Arrays 5.0 and 6.0 February 7, 2008 |
![]() |
Whole Genome Copy Number Association Analysis with Golden Helix November 14, 2007 |
![]() |
Insights: Identification of Candidate Variants using Exome Data in Ophthalmic GeneticsMarch 7, 2013 Technological advances in next generation sequencing provide clinicians and researchers with more effective methods to identify pathogenic gene mutations for heritable diseases. To date, the National Eye Institute Bank lists over 450 genes associated with eye-related disorders. Analytical processing of large datasets generated can be cumbersome for all parties involved and some issues that can cause inefficiencies include learning programming languages and reliance on inconsistent freeware. In this webcast, we demonstrate the ability to maximize Golden Helix tools to find potential pathogenic variants in rare ocular diseases. |
![]() |
New Study Identifies High-Risk Variants Associated with Autism Spectrum DisordersJanuary 29, 2013 Since 2002, Lineagen has been building the largest proprietary collection of ASD-related genetic variants and, in 2011, spearheaded a study to increase the clinical yield of the company's genetic diagnostic test, FirstStepDx. To find candidate variants, Linegean selected the Golden Helix services team as well as the Children's Hospital of Philadelphia Center for Applied Genomics to concurrently perform quality control, analyze the data, and interpret the results. In this webcast, Dr. Hakonarson, Dr. Leppert, Dr. Paul, and Dr. Hensel outline the study and methodology approach utilized by Lineagen to achieve a two-fold increase in detection rate of genetic variants in individuals with ASD, and Dr. Christensen shares the analytic processes Golden Helix used in this valuable research. |
![]() |
Identification of Candidate Functional Polymorphism Using Trio Family Whole Exome DNA DataAugust 8, 2012 Personalized genomics, using a trio study design (father, mother, and affected child) allows the identification of candidate novel and rare polymorphisms that have the potential to cause disease. In this presentation, Dr. Kenneth Kaufman will demonstrate the analysis of whole-exome DNA sequencing data from a family trio study. Typically, these studies generate ~100,000 variations per trio. In an advanced workflow, a combination of functional and sequence quality control measurements will be used to filter the DNA sequence data to obtain a small number of candidate de Novo, rare-recessively inherited, and compound heterozygous mutations. |
![]() |
Speeding Up the Hunt for Casual Trait Mutations in Cattle and Other Agrigenomic SpeciesDecember 7, 2011 |
![]() |
Common Genetic Variants Modulate Nicotinic Alpha5 Receptor mRNA Expression and Risk for Nicotine DependenceOctober 27, 2010 |
![]() |
Genome-Wide Association Analysis Reveals Putative Alzheimer's Disease Susceptibility Loci in Addition to APOE December 2, 2008 |
![]() |
Genome Wide SNP and CNV Association Studies Identify Genetic Factors for Lung Cancer October 28, 2008 |
![]() |
On the Analysis of Copy-Number Variations in Genome-Wide Association Studies: A Translation of the Family-Based Association Test March 18, 2008 |
![]() |
On the Replication of Genetic Associations: Timing Can Be Everything April 15, 2008 |
![]() |
Using Runs of Homozygosity to Identify Recessive Loci January 24, 2008 |
![]() |
Whole Genome Association Study of Schizophrenia May 9, 2007 |
![]() |
Knowing Your NGS Upstream: Alignment and VariantsMarch 27, 2013 This presentation will compare the performance of the alignment and variant calling tools used by sequencing service providers including Illumina Genome Network, Complete Genomics and The Broad Institute. Using public samples analyzed by each pipeline, we will look at the level of concordance and dive into investigating problematic variants and regions of the genome. |
![]() |
AGBT 2013: Home Brewed Personalized Genomics - The Quest for Meaningful Analysis Results of a 23andMe Exome Pilot Trio of Myself, Wife, and SonFebruary 22, 2013 Personalized genomics may be moving into a new era with whole-exome and whole-genome sequencing becoming affordable and available to consumers. 23andMe recently piloted a more affordable 80x exome to their existing customers. But it remains to be seen whether this wealth of raw genomic data can be analyzed to provide meaningful results for both healthy and symptomatic individuals. By acquiring 23andMe exomes on his own family, Gabe put himself in the position of a bioinformatically inclined consumer, but non-clinician, to approach this question with his own analysis. His trio consists of a healthy father and son, and a mother with clinically-diagnosed idiopathic rheumatoid arthritis. |
![]() |
@gabeinformatics: 23andMe Variant Analysis of My Personal ExomeDecember 5, 2012 Join Gabe Rudy as he explores his personal exome provided by the Exome Pilot project of 23andMe. Gabe will be acting as an asymptomatic consumer enthusiast as he applies the transparent techniques of high-impact variant discovery using SNP & Variation Suite (SVS) and GenomeBrowse. As he weeds out false positives and genes with low functional significance, Gabe will face the more daunting challenge of interpreting highly credible loss of function or missense variants and what if any impact that would infer to his disease risk, pharmacogenomic profile, or other annotated genomic traits. |
![]() |
Reproducing a DNA-Seq Discovery: Finding the Causal Variant of a Novel X-Linked DisorderOctober 24, 2012 In this webcast, we will analyze clinical samples to demonstrate the bioinformatic workflows and visualization techniques used to reproduce the published findings of "Ogden Syndrome" - a novel X-linked fatal genetic disorder. The analysis will be based on X chromosome exon capture and sequencing. Using SVS, we will incorporate known variant catalogs, variant classification, functional prediction, and family-based filtering to find putative causal variants. Using GenomeBrowse to investigate and confirm the analysis results, we will reproduce the single putative variant finding that was confirmed and published as the causal variant of this disorder. |
![]() |
GenomeBrowse: A revolutionary visual experience for genomic dataSeptember 12, 2012 Golden Helix GenomeBrowseTM is an evolutionary leap in genome browser technology that combines an attractive and informative visual experience with a robust, performance-driven backend. The marriage of these two equally important components results in a product that makes other genome browsers look like 1980s DOS programs. |
![]() |
Identification of Candidate Functional Polymorphism Using Trio Family Whole Exome DNA DataAugust 8, 2012 Personalized genomics, using a trio study design (father, mother, and affected child) allows the identification of candidate novel and rare polymorphisms that have the potential to cause disease. In this presentation, Dr. Kenneth Kaufman will demonstrate the analysis of whole-exome DNA sequencing data from a family trio study. Typically, these studies generate ~100,000 variations per trio. In an advanced workflow, a combination of functional and sequence quality control measurements will be used to filter the DNA sequence data to obtain a small number of candidate de Novo, rare-recessively inherited, and compound heterozygous mutations. In addition, Dr. Kaufman will demonstrate how to use Golden Helix's latest tool, GenomeBrowse and sequencing BAM files to decrease the number of false positive candidate polymorphisms. |
![]() |
ASHG Ancillary Event: Optimization of Illumina mRNA-Seq Experimental Results and Conversion to a User Friendly Analysis SolutionOctober 13, 2011 |