Axiom® Genome-Wide AFR 1 Array World Array 3Affymetrix
The document describes the Axiom Genome-Wide AFR 1 Array, which provides high coverage of genetic variants associated with disease in African and African American populations. It was designed to maximize coverage of common and rare variants down to a minor allele frequency of 1% in specific gene regions and disease-associated areas. The array contains over 893,000 SNPs selected from genome-wide association studies and databases of disease-associated variants. It enables genome-wide association studies, replication, and fine mapping with one experiment.
This document summarizes Thomas J. Hajek III's 2014 master's thesis which characterized microstructural mutation events (MMEs) in the chloroplast genomes (plastomes) of 10 species in the grass subfamily Chloridoideae. Hajek sequenced the plastome of Eragrostis tef using Sanger methods and 9 additional species using next-generation sequencing. He identified indels, inversions, and slipped-strand mispairing mutations and used these MMEs to infer phylogenetic relationships, finding they provided highly supported trees consistent with nucleotide substitution trees. The study demonstrated plastome-scale MMEs are a valuable source of phylogenetic data in grasses.
This document summarizes a seminar presentation on genomic selection for crop improvement. The key points are:
1. Genomic selection is a specialized form of marker-assisted selection that uses dense molecular markers covering the entire genome to predict the genetic value or breeding value of individuals based on their genotypes.
2. The process of genomic selection involves developing a training population with both genotypic and phenotypic data to train statistical models, estimating genomic estimated breeding values (GEBVs) for individuals in a breeding population based only on their genotypes using the trained models, and selecting best individuals for further breeding.
3. Common statistical models used in genomic selection include ridge regression best linear unbiased prediction, Bayesian regression, and machine learning
A novel method for building custom ampli seq panels using optimized pcr primers Thermo Fisher Scientific
AmpliSeq™ is a next generation sequencing library preparation method for targeted re-sequencing that utilizes highly multiplexed PCR to amplify regions of interest. A key to successful AmpliSeq libraries is the primer panel used for target amplification. Until now primers have been available as pre-assembled ready-to-use panels, or as custom made-to-order panels. We describe a new process for creating customized panels consisting of optimized and verified PCR primers. The primer sets are available as whole genes (i.e., all of the primers needed to create libraries that cover the entire coding regions of genes) and are selectable on the ampliseq.com website by either uploading gene lists or choosing genes from disease research areas.
We show NGS sequencing data from 10 disease research-oriented panels, including newborn screening research and inherited cancer research, assembled from individual pre-verified gene sets. Panel performance data include coverage uniformity, reproducibility, and sensitivity and positive predictive value of variant calling. To demonstrate flexibility of panel content and performance, the coverage uniformity of the 59 genes recommended by the American College of Medical Genetics and Genomics for reporting of incidental findings (ACMG59) was evaluated by themselves and with up to 135 additional genes and shown to be ≥ 97% in all contexts. We also demonstrate the robustness of this method using a variety of sample types (fresh, frozen, and dried blood, cheek swabs) with both manual and fully automated library preparation methods. For Research use only. Not for use in diagnostic procedures.
Developing Custom Next-Generation Sequencing Panels using Pre-Optimized Assay...Thermo Fisher Scientific
Targeted next-generation sequencing panels enable interrogation of multiple genes across many samples to more deeply understand human genetic disease. However, finding all relevant genes, developing robust, high performing multiplex panels, and implementing scalable, reproducible and accurate analysis pipelines is challenging. We present a coordinated suite of tools to facilitate genetic disease research. First, we developed the Content Selection Engine which organizes human diseases hierarchically, and links all diseases to a set of associated genes; and the Gene Scoring Algorithm which ranks genes by clinical relevance. We developed optimized assays for the
most studied 1000 disease research genes, and we are in the process of developing optimized assays for a further 4000 genes.
An interactive web interface allows scientists to select any disease of interest, display all associated genes, select any genes, and add additional genes, for any number of diseases. Empirical coverage for each gene can be visualized in IGV. A custom Ampliseq gene panel can be built using the optimized assays from all the selected genes. Optimized gene panels can be developed narrowly targeted to specific diseases, or larger gene panels can be developed for broader phenotypes. Disease categories include early onset neonatal phenotypes such as metabolic disorders, Severe Combined Immunodeficiency (SCID), heme disorders; and late onset disorders such as cancer predisposition and cardiovascular disorders.
This document discusses approaches for identifying somatic mutations from cancer sequencing data using multiple mutation callers. It compares several popular mutation callers, explores a simple consensus approach, and proposes an integrated ensemble approach. The ensemble approach applies multiple callers, filters using GATK, and assigns a ranking score to variants based on validation rates to generate a high-confidence list of somatic mutations. This strategy aims to leverage the strengths of different callers to improve accuracy over any single caller.
A SNP array for human population genetics studiesAffymetrix
Yontao Lu, Teri Genschoreck, Swapan Mallick, Amy Ollmann, Nick Patterson, Yiping Zhan, Teresa Webster, David Reich Overview of the Human Origins Array, the first array developed with leading geneticists to enable rigorous population genetics studies.
The document discusses using aptamers to target cells. Aptamers are nucleic acid molecules that can bind targets with high specificity and affinity, and have advantages over antibodies like small size and easy synthesis. The author describes selecting aptamers against cell surface receptors like transferrin receptor and PSMA on cancer cells, and DEC205 on dendritic cells. This allows targeted delivery of cargo like siRNA, drugs, or antigens to specific cell types for research and clinical applications like cancer treatment and vaccines.
Axiom® Genome-Wide AFR 1 Array World Array 3Affymetrix
The document describes the Axiom Genome-Wide AFR 1 Array, which provides high coverage of genetic variants associated with disease in African and African American populations. It was designed to maximize coverage of common and rare variants down to a minor allele frequency of 1% in specific gene regions and disease-associated areas. The array contains over 893,000 SNPs selected from genome-wide association studies and databases of disease-associated variants. It enables genome-wide association studies, replication, and fine mapping with one experiment.
This document summarizes Thomas J. Hajek III's 2014 master's thesis which characterized microstructural mutation events (MMEs) in the chloroplast genomes (plastomes) of 10 species in the grass subfamily Chloridoideae. Hajek sequenced the plastome of Eragrostis tef using Sanger methods and 9 additional species using next-generation sequencing. He identified indels, inversions, and slipped-strand mispairing mutations and used these MMEs to infer phylogenetic relationships, finding they provided highly supported trees consistent with nucleotide substitution trees. The study demonstrated plastome-scale MMEs are a valuable source of phylogenetic data in grasses.
This document summarizes a seminar presentation on genomic selection for crop improvement. The key points are:
1. Genomic selection is a specialized form of marker-assisted selection that uses dense molecular markers covering the entire genome to predict the genetic value or breeding value of individuals based on their genotypes.
2. The process of genomic selection involves developing a training population with both genotypic and phenotypic data to train statistical models, estimating genomic estimated breeding values (GEBVs) for individuals in a breeding population based only on their genotypes using the trained models, and selecting best individuals for further breeding.
3. Common statistical models used in genomic selection include ridge regression best linear unbiased prediction, Bayesian regression, and machine learning
A novel method for building custom ampli seq panels using optimized pcr primers Thermo Fisher Scientific
AmpliSeq™ is a next generation sequencing library preparation method for targeted re-sequencing that utilizes highly multiplexed PCR to amplify regions of interest. A key to successful AmpliSeq libraries is the primer panel used for target amplification. Until now primers have been available as pre-assembled ready-to-use panels, or as custom made-to-order panels. We describe a new process for creating customized panels consisting of optimized and verified PCR primers. The primer sets are available as whole genes (i.e., all of the primers needed to create libraries that cover the entire coding regions of genes) and are selectable on the ampliseq.com website by either uploading gene lists or choosing genes from disease research areas.
We show NGS sequencing data from 10 disease research-oriented panels, including newborn screening research and inherited cancer research, assembled from individual pre-verified gene sets. Panel performance data include coverage uniformity, reproducibility, and sensitivity and positive predictive value of variant calling. To demonstrate flexibility of panel content and performance, the coverage uniformity of the 59 genes recommended by the American College of Medical Genetics and Genomics for reporting of incidental findings (ACMG59) was evaluated by themselves and with up to 135 additional genes and shown to be ≥ 97% in all contexts. We also demonstrate the robustness of this method using a variety of sample types (fresh, frozen, and dried blood, cheek swabs) with both manual and fully automated library preparation methods. For Research use only. Not for use in diagnostic procedures.
Developing Custom Next-Generation Sequencing Panels using Pre-Optimized Assay...Thermo Fisher Scientific
Targeted next-generation sequencing panels enable interrogation of multiple genes across many samples to more deeply understand human genetic disease. However, finding all relevant genes, developing robust, high performing multiplex panels, and implementing scalable, reproducible and accurate analysis pipelines is challenging. We present a coordinated suite of tools to facilitate genetic disease research. First, we developed the Content Selection Engine which organizes human diseases hierarchically, and links all diseases to a set of associated genes; and the Gene Scoring Algorithm which ranks genes by clinical relevance. We developed optimized assays for the
most studied 1000 disease research genes, and we are in the process of developing optimized assays for a further 4000 genes.
An interactive web interface allows scientists to select any disease of interest, display all associated genes, select any genes, and add additional genes, for any number of diseases. Empirical coverage for each gene can be visualized in IGV. A custom Ampliseq gene panel can be built using the optimized assays from all the selected genes. Optimized gene panels can be developed narrowly targeted to specific diseases, or larger gene panels can be developed for broader phenotypes. Disease categories include early onset neonatal phenotypes such as metabolic disorders, Severe Combined Immunodeficiency (SCID), heme disorders; and late onset disorders such as cancer predisposition and cardiovascular disorders.
This document discusses approaches for identifying somatic mutations from cancer sequencing data using multiple mutation callers. It compares several popular mutation callers, explores a simple consensus approach, and proposes an integrated ensemble approach. The ensemble approach applies multiple callers, filters using GATK, and assigns a ranking score to variants based on validation rates to generate a high-confidence list of somatic mutations. This strategy aims to leverage the strengths of different callers to improve accuracy over any single caller.
A SNP array for human population genetics studiesAffymetrix
Yontao Lu, Teri Genschoreck, Swapan Mallick, Amy Ollmann, Nick Patterson, Yiping Zhan, Teresa Webster, David Reich Overview of the Human Origins Array, the first array developed with leading geneticists to enable rigorous population genetics studies.
The document discusses using aptamers to target cells. Aptamers are nucleic acid molecules that can bind targets with high specificity and affinity, and have advantages over antibodies like small size and easy synthesis. The author describes selecting aptamers against cell surface receptors like transferrin receptor and PSMA on cancer cells, and DEC205 on dendritic cells. This allows targeted delivery of cargo like siRNA, drugs, or antigens to specific cell types for research and clinical applications like cancer treatment and vaccines.
The Axiom Genome-Wide ASI 1 Array provides high genomic coverage of common and rare alleles in East Asian populations. It contains over 600,000 SNPs, including variants from important biological categories. Validation testing showed the array achieves over 99.5% concordance with HapMap samples and over 99.7% repeatability. The array offers greater coverage of rare Asian variants compared to competing products.
Axiom® Genome-Wide LAT 1 Array World Array 4Affymetrix
Coverage-Optimized World Arrays: next-generation designs combining GWAS, replication, and fine-mapping into one array. Dense marker coverage of disease-associated SNPs, genes, and regions, plus whole-genome coverage of common and rare variants. Optimized for diverse ancestries including European, African and Native American.
A choice of population-optimized GWAS imputation grids, combined with exome, loss-of-function, ADME, and eQTL markers in one high-coverage, high-value, customizable design.
Development of a high-throughput high-density SNP genotyping array for bovineAffymetrix
This document summarizes the development of a high-density SNP genotyping array for cattle. Key points:
1) Researchers from Affymetrix and academic institutions combined efforts to sequence the genomes of 15 bovine breeds and identify over 3 million SNPs.
2) A set of 648,000 SNPs was selected from the 3 million to be included on the new AxiomTM Genome-Wide BOS 1 Array based on their ability to genetically represent linkage disequilibrium blocks across multiple breeds.
3) Testing of the new array showed over 99% call rate and genetic coverage of over 90% for many beef and dairy cattle breeds, demonstrating its effectiveness for applications like marker-assisted breeding.
Custom AmpliSeq™ Panels for Inherited Disease Research from Optimized, Invent...Thermo Fisher Scientific
Next generation sequencing (NGS) refers to the parallel sequencing of hundreds to
millions of DNA fragments. The consequent increase in throughput and decrease in
price has led to an explosion of genetic information for a variety of organisms. Ion
AmpliSeq™ library preparation is a multiplexed PCR-based method for amplifying
and preparing specific regions of interest in a genome for sequencing on Ion
Torrent™ NGS instruments. This library preparation method can accommodate
from dozens to many thousands of primer pairs in single tube reactions, and can
utilize from one to many primer pools for maximum flexibility. Primers are available
as pre-assembled ready-to-use panels or as custom made-to-order panels.
SNP genotyping using the Affymetrix® Axiom® Genome-Wide Pan-African (PanAFR) ...Affymetrix
The document describes the Axiom Genome-Wide PanAFR Array Set, which was designed to maximize coverage of common and rare genetic variants in populations of Yoruba ancestry. The array contains over 2.2 million markers selected from several genome projects to provide high coverage of the genome as well as specific regions and gene categories. Testing showed the array performs well with an average call rate over 99% and high concordance and reproducibility of calls.
Creating custom gene panels for next-generation sequencing: optimization of 5...Thermo Fisher Scientific
Next-generation sequencing gene panels enable the examination of multiple genes, identifying previously described variants and discovering novel variants, to elucidate genetic disease. The challenges are substantial, including: identification of all genes of interest; assay optimization to create robust, reproducible, multiplex panels; and developing accurate, comprehensive, reproducible analysis pipelines.
Ion Torrent™ semiconductor sequencing, combined with Ion AmpliSeq™ technology, provides simultaneous identification of copy number variants (CNVs), single nucleotide variants (SNVs), and small insertions and deletions (indels) from a research sample by means of a single integrated workflow. 100% of assayed CNV regions (n=34) were detected using a reference set of 31 samples with known chromosomal aberrations. Low-pass whole-genome sequencing data, with approximately 0.01x read coverage, allowed the rapid ≤10 hour analysis of aneuploidies from research samples with extremely low initial input DNA amounts—even from a single cell. Using a control set of 10 samples with known chromosomal aberrations, 100% of the copy number changes were found, ranging from gains or losses of whole chromosomes to subchromosomal alterations tens of megabases (Mb) in size. The Ion PGM™ System minimizes the high cost and complexity of next-generation sequencing and, with Ion Reporter™ Software, facilitates user-defined CNV and aneuploidy detection, with three sensitivity options so that copy number analysis workflows can be tuned to achieve desired levels of sensitivity and specificity.
Next Generation Diagnostics: Potential Clinical Applications of Illumina’sTec...Ilya Klabukov
Illumina's technology has potential clinical applications in molecular diagnostics. Their sequencing platforms like MiSeq and analysis software like KaryoStudioDx can enable molecular cytogenetic testing and targeted gene panels. MiSeq allows scalable amplicon sequencing from hundreds to thousands of targets in 1-2 days at lower costs than Sanger sequencing. Illumina aims to submit their iScan platform and arrays for FDA approval for post-natal cytogenetic testing. Their SNP microarrays can detect more types of chromosomal abnormalities than microarrays and help characterize regions associated with disease.
Best practices for genotyping analysis of plant and animal genomes with Affym...Affymetrix
This document describes best practices for analyzing genotyping data from Affymetrix Axiom arrays for plant and animal genomes. It discusses an analysis workflow that combines standard practices for human genotyping with new steps tailored to complex non-human genomes. The workflow uses the SNPolisher R package to generate quality control metrics, classify SNPs, visualize clusters, and identify off-target variants. The overall goal is to maximize high-quality genotype calls while flagging SNPs that require further examination.
Bio-chips, also known as lab-on-a-chip devices, can provide portable, low-cost, and low-power platforms for integrating sensors and other components. DNA microarrays allow high-throughput screening by placing probes for thousands of genes on a single chip. mRNA is extracted from experimental and control samples, converted to fluorescent cDNA, and hybridized on the chip. The fluorescent intensities indicate gene expression levels. Protein microarrays similarly attach thousands of proteins to a chip and detect binding with probes to study protein interactions, expression levels, and functions.
Bio-chips, also known as lab-on-a-chip devices, can provide portable, low-cost, and low-power platforms for integrating sensors and other components. DNA microarrays allow high-throughput screening by placing probes for thousands of genes on a single chip. mRNA is extracted from experimental and control samples, converted to fluorescent cDNA, and hybridized on the chip. The resulting colors indicate gene expression levels. Protein microarrays similarly attach thousands of proteins to a chip and use probes to study protein interactions, expression profiles, and biochemical functions through detection of reaction products. Technical challenges include maintaining protein activity and structure during immobilization and detection.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.2- Next Generation Sequencing. Technologies and Applications. Part II: NGS Applications I.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Sensitive and Reliable Variant Detection From Challenging SamplesQIAGEN
The QIAseq Ultralow Input Library Kit enables sensitive and reliable variant detection from challenging clinical samples through an optimized workflow:
- The kit utilizes optimized enzymes and buffers to construct high-quality sequencing libraries from as little as 10 pg DNA input, with high conversion rates and uniform coverage regardless of GC content.
- When used with hybridization-based target enrichment, it allows reliable variant detection from sample types with limited or low-quality DNA, such as laser-capture microdissection samples, formalin-fixed samples, and cell-free DNA.
- Testing demonstrated high sensitivity (>90%) and precision (>99.5%) for variant calling from just 1 ng DNA input using whole-genome or
whole genome analysis
history
needs
steps involved
human genome data
NGS
pyrosequencing
illumina
SOLiD
Ion torrent
PacBio
applications
problems
benefits
A next generation sequencing based sample-to-result pharmacogenomics research...Thermo Fisher Scientific
Pharmacogenomics (PGx) is the study of genetic variations in terms of their response to drugs. Variations in gene sequence or copy numbers may result in complete loss of function, partial decrease or increase in enzyme activity, or an altered affinity for substrates, which may in turn significantly impact drug efficacy. PGx studies are becoming increasingly important for precision medicine. We have developed a next generation sequencing (NGS) PGx research solution with increased flexibility on the assay targets and combined detection of SNP/INDEL genotyping and CNV using Ion AmpliSeq™ technology for low to medium throughput laboratories. With this highly multiplexed PGx research panel we can profile a set of 136 genetic markers in 40 known PGx related genes (Table 1) and determine CYP2D6 copy number variation (CNV, Figure 1) in a single reaction using Ion Torrent™ semiconductor sequencing.
This document discusses high-resolution views of the cancer genome using various technologies including DNA microarrays, comparative genomic hybridization, tiling arrays, next-generation sequencing, and DNAse-Seq. It describes how these technologies can be used to analyze gene expression, copy number variation, chromatin structure, and more to better understand cancer at the genomic level. Integrating data from all these sources presents challenges but may help improve individual health outcomes.
Solutions for Personalized Medicine brochureAffymetrix
The document discusses personalized medicine and describes some of the tools and technologies used for biomarker discovery and validation to enable personalized medicine. Specifically, it discusses:
1) Affymetrix provides a portfolio of tools to detect and validate DNA and RNA biomarkers for diseases like cancer through microarrays, services, and assays that can interrogate genomes, transcriptomes, genes, pathways, and individual molecules.
2) RNA and DNA biomarkers like gene expressions levels, mutations, and other genomic alterations can serve as indicators of disease processes and therapeutic responses. Affymetrix tools allow analysis of whole genomes, transcriptomes, alternative splicing, and single-cell analysis.
3) These tools are used to discover and validate biomarkers which
The Axiom Genome-Wide ASI 1 Array provides high genomic coverage of common and rare alleles in East Asian populations. It contains over 600,000 SNPs, including variants from important biological categories. Validation testing showed the array achieves over 99.5% concordance with HapMap samples and over 99.7% repeatability. The array offers greater coverage of rare Asian variants compared to competing products.
Axiom® Genome-Wide LAT 1 Array World Array 4Affymetrix
Coverage-Optimized World Arrays: next-generation designs combining GWAS, replication, and fine-mapping into one array. Dense marker coverage of disease-associated SNPs, genes, and regions, plus whole-genome coverage of common and rare variants. Optimized for diverse ancestries including European, African and Native American.
A choice of population-optimized GWAS imputation grids, combined with exome, loss-of-function, ADME, and eQTL markers in one high-coverage, high-value, customizable design.
Development of a high-throughput high-density SNP genotyping array for bovineAffymetrix
This document summarizes the development of a high-density SNP genotyping array for cattle. Key points:
1) Researchers from Affymetrix and academic institutions combined efforts to sequence the genomes of 15 bovine breeds and identify over 3 million SNPs.
2) A set of 648,000 SNPs was selected from the 3 million to be included on the new AxiomTM Genome-Wide BOS 1 Array based on their ability to genetically represent linkage disequilibrium blocks across multiple breeds.
3) Testing of the new array showed over 99% call rate and genetic coverage of over 90% for many beef and dairy cattle breeds, demonstrating its effectiveness for applications like marker-assisted breeding.
Custom AmpliSeq™ Panels for Inherited Disease Research from Optimized, Invent...Thermo Fisher Scientific
Next generation sequencing (NGS) refers to the parallel sequencing of hundreds to
millions of DNA fragments. The consequent increase in throughput and decrease in
price has led to an explosion of genetic information for a variety of organisms. Ion
AmpliSeq™ library preparation is a multiplexed PCR-based method for amplifying
and preparing specific regions of interest in a genome for sequencing on Ion
Torrent™ NGS instruments. This library preparation method can accommodate
from dozens to many thousands of primer pairs in single tube reactions, and can
utilize from one to many primer pools for maximum flexibility. Primers are available
as pre-assembled ready-to-use panels or as custom made-to-order panels.
SNP genotyping using the Affymetrix® Axiom® Genome-Wide Pan-African (PanAFR) ...Affymetrix
The document describes the Axiom Genome-Wide PanAFR Array Set, which was designed to maximize coverage of common and rare genetic variants in populations of Yoruba ancestry. The array contains over 2.2 million markers selected from several genome projects to provide high coverage of the genome as well as specific regions and gene categories. Testing showed the array performs well with an average call rate over 99% and high concordance and reproducibility of calls.
Creating custom gene panels for next-generation sequencing: optimization of 5...Thermo Fisher Scientific
Next-generation sequencing gene panels enable the examination of multiple genes, identifying previously described variants and discovering novel variants, to elucidate genetic disease. The challenges are substantial, including: identification of all genes of interest; assay optimization to create robust, reproducible, multiplex panels; and developing accurate, comprehensive, reproducible analysis pipelines.
Ion Torrent™ semiconductor sequencing, combined with Ion AmpliSeq™ technology, provides simultaneous identification of copy number variants (CNVs), single nucleotide variants (SNVs), and small insertions and deletions (indels) from a research sample by means of a single integrated workflow. 100% of assayed CNV regions (n=34) were detected using a reference set of 31 samples with known chromosomal aberrations. Low-pass whole-genome sequencing data, with approximately 0.01x read coverage, allowed the rapid ≤10 hour analysis of aneuploidies from research samples with extremely low initial input DNA amounts—even from a single cell. Using a control set of 10 samples with known chromosomal aberrations, 100% of the copy number changes were found, ranging from gains or losses of whole chromosomes to subchromosomal alterations tens of megabases (Mb) in size. The Ion PGM™ System minimizes the high cost and complexity of next-generation sequencing and, with Ion Reporter™ Software, facilitates user-defined CNV and aneuploidy detection, with three sensitivity options so that copy number analysis workflows can be tuned to achieve desired levels of sensitivity and specificity.
Next Generation Diagnostics: Potential Clinical Applications of Illumina’sTec...Ilya Klabukov
Illumina's technology has potential clinical applications in molecular diagnostics. Their sequencing platforms like MiSeq and analysis software like KaryoStudioDx can enable molecular cytogenetic testing and targeted gene panels. MiSeq allows scalable amplicon sequencing from hundreds to thousands of targets in 1-2 days at lower costs than Sanger sequencing. Illumina aims to submit their iScan platform and arrays for FDA approval for post-natal cytogenetic testing. Their SNP microarrays can detect more types of chromosomal abnormalities than microarrays and help characterize regions associated with disease.
Best practices for genotyping analysis of plant and animal genomes with Affym...Affymetrix
This document describes best practices for analyzing genotyping data from Affymetrix Axiom arrays for plant and animal genomes. It discusses an analysis workflow that combines standard practices for human genotyping with new steps tailored to complex non-human genomes. The workflow uses the SNPolisher R package to generate quality control metrics, classify SNPs, visualize clusters, and identify off-target variants. The overall goal is to maximize high-quality genotype calls while flagging SNPs that require further examination.
Bio-chips, also known as lab-on-a-chip devices, can provide portable, low-cost, and low-power platforms for integrating sensors and other components. DNA microarrays allow high-throughput screening by placing probes for thousands of genes on a single chip. mRNA is extracted from experimental and control samples, converted to fluorescent cDNA, and hybridized on the chip. The fluorescent intensities indicate gene expression levels. Protein microarrays similarly attach thousands of proteins to a chip and detect binding with probes to study protein interactions, expression levels, and functions.
Bio-chips, also known as lab-on-a-chip devices, can provide portable, low-cost, and low-power platforms for integrating sensors and other components. DNA microarrays allow high-throughput screening by placing probes for thousands of genes on a single chip. mRNA is extracted from experimental and control samples, converted to fluorescent cDNA, and hybridized on the chip. The resulting colors indicate gene expression levels. Protein microarrays similarly attach thousands of proteins to a chip and use probes to study protein interactions, expression profiles, and biochemical functions through detection of reaction products. Technical challenges include maintaining protein activity and structure during immobilization and detection.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.2- Next Generation Sequencing. Technologies and Applications. Part II: NGS Applications I.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Sensitive and Reliable Variant Detection From Challenging SamplesQIAGEN
The QIAseq Ultralow Input Library Kit enables sensitive and reliable variant detection from challenging clinical samples through an optimized workflow:
- The kit utilizes optimized enzymes and buffers to construct high-quality sequencing libraries from as little as 10 pg DNA input, with high conversion rates and uniform coverage regardless of GC content.
- When used with hybridization-based target enrichment, it allows reliable variant detection from sample types with limited or low-quality DNA, such as laser-capture microdissection samples, formalin-fixed samples, and cell-free DNA.
- Testing demonstrated high sensitivity (>90%) and precision (>99.5%) for variant calling from just 1 ng DNA input using whole-genome or
whole genome analysis
history
needs
steps involved
human genome data
NGS
pyrosequencing
illumina
SOLiD
Ion torrent
PacBio
applications
problems
benefits
A next generation sequencing based sample-to-result pharmacogenomics research...Thermo Fisher Scientific
Pharmacogenomics (PGx) is the study of genetic variations in terms of their response to drugs. Variations in gene sequence or copy numbers may result in complete loss of function, partial decrease or increase in enzyme activity, or an altered affinity for substrates, which may in turn significantly impact drug efficacy. PGx studies are becoming increasingly important for precision medicine. We have developed a next generation sequencing (NGS) PGx research solution with increased flexibility on the assay targets and combined detection of SNP/INDEL genotyping and CNV using Ion AmpliSeq™ technology for low to medium throughput laboratories. With this highly multiplexed PGx research panel we can profile a set of 136 genetic markers in 40 known PGx related genes (Table 1) and determine CYP2D6 copy number variation (CNV, Figure 1) in a single reaction using Ion Torrent™ semiconductor sequencing.
This document discusses high-resolution views of the cancer genome using various technologies including DNA microarrays, comparative genomic hybridization, tiling arrays, next-generation sequencing, and DNAse-Seq. It describes how these technologies can be used to analyze gene expression, copy number variation, chromatin structure, and more to better understand cancer at the genomic level. Integrating data from all these sources presents challenges but may help improve individual health outcomes.
Similar to Axiom™ Genome-Wide CEU 1 Array Plate (20)
Solutions for Personalized Medicine brochureAffymetrix
The document discusses personalized medicine and describes some of the tools and technologies used for biomarker discovery and validation to enable personalized medicine. Specifically, it discusses:
1) Affymetrix provides a portfolio of tools to detect and validate DNA and RNA biomarkers for diseases like cancer through microarrays, services, and assays that can interrogate genomes, transcriptomes, genes, pathways, and individual molecules.
2) RNA and DNA biomarkers like gene expressions levels, mutations, and other genomic alterations can serve as indicators of disease processes and therapeutic responses. Affymetrix tools allow analysis of whole genomes, transcriptomes, alternative splicing, and single-cell analysis.
3) These tools are used to discover and validate biomarkers which
This document discusses how microarrays and RNA sequencing (RNA-Seq) are complementary approaches for genomics research. It notes that while RNA-Seq is useful for discovering unknown transcripts, microarrays allow researchers to quickly and cost-effectively profile known pathways and genes. The document also highlights how microarrays can generate data from limited or degraded RNA samples not amenable to RNA-Seq, and can validate potential RNA-Seq hits simultaneously. It concludes by emphasizing the robust, cost-effective, and proven nature of microarray technology as a complement to emerging NGS approaches.
Affymetrix OncoScan®* data analysis with Nexus Copy Number™Affymetrix
This document discusses the analysis of Affymetrix OncoScan data using Nexus Copy Number software. It outlines researchers' needs such as visualizing data, identifying common aberrations, comparing sample populations, and predictive analysis. It then describes the data processing in Nexus, including algorithms for identifying significant aberrations and dealing with heterogeneity. Finally, it shows examples of data visualization, analysis features for survival, enrichment, and comparing groups that Nexus provides to help researchers analyze and understand OncoScan data.
Statistical methods for off-target variant genotyping on Affymetrix' Axiom Ar...Affymetrix
Teresa Webster, Bioinformatics, Affymetrix.Automated clustering and calling of ""Off-Target Variants,"" atypical cluster patterns caused by secondary variants in the probe hybridization region.
Allopolyploid Genotyping Algorithm on Affymetrix' Axiom ArraysAffymetrix
Hong Gao, Bioinformatics, Affymetrix.An automated algorithm that reduces genotype analysis to ~1 hour is described and applied to hexaploid wheat data.
SNP genotyping of markers with nearby secondary polymorphisms using Affymetri...Affymetrix
Laurent Bellon, Product Development, Affymetrix.Axiom® Genotyping Solution is uniquely suited to genotyping of highly polymorphic genomes as it is permissive to secondary variants as close as 10 bp from the target variant.
SNP genotyping using Affymetrix' Axiom Genotyping SolutionAffymetrix
Michael Shapero, Product Development, Affymetrix.Outline of the development and performance of the new Axiom® 384 high-throughput format for low-cost genotyping of up to 50,000 SNPs.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
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BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
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With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
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Axiom™ Genome-Wide CEU 1 Array Plate
1. performance to stringent performance criteria in the Axiom™
Assay.
SNPS were selected to provide high global genomic coverage and
to represent chromosomes X and Y, mitochondrial SNPs, cSNPs,
SNPs in recombination hotspots, ADME SNPs, miRNA SNPs, and
disease-associated SNPs (Table 1). The in/dels were selected to
supplement the genomic coverage provided by the SNPs.
SNPs on the Axiom Genome-Wide CEU 1 Array were validated
using 270 phase I HapMap samples. Arrays that passed the
quality control threshold were analyzed using the Axiom GT1
algorithm. Table 2 summarizes the performance specifications
for the array as well as the metrics achieved.
Table 1: Breakdown of SNPs by biological categories.
cSNP – synonymous 5,020
cSNP – nonsynonymous 10,648
Splicing and untranslated regions (UTR) 13,269
MHC 7,914
ADME 4,603
Genic 263,062
Conserved 28,910
Inflammation and immunity pathway 4,532
NHGRI disease associated 1,610
miRNA associated and mitochondrial 266
Chromosome X 16,413
Chromosome Y 1,718
In/dels 11,501
Total biologically relevant SNPs 369,466
Genic 263,062
Non-genic 324,290
Total 587,352
Data Sheet
The Axiom Genome-Wide CEU 1 Array Plate maximizes genomic
coverage of common and rare alleles of the CEU genome, including
variants from important biological categories such as coding SNPs,
ADME genes, cardiovascular genes, MHC region genes, Sanger
Center Gene Census genes, and the National Human Genome
Research Institute (NHGRI) Catalog of Published Genome-Wide
Association Studies.
Benefits of the Axiom Genome-Wide CEU 1 Array:
Maximized power for CEU populations
Novel common and rare variants
Fully automated and fast array processing signifi-
cantly reduces hands-on time and saves money
Highly reproducible and reliable data for
faster publication
The Axiom Genome-Wide CEU 1 Array is part of the Axiom
Genotyping Solution, Affymetrix’ innovative technology for
genotyping studies. Axiom Genome-Wide Arrays are a family
of predesigned, population-specific panels that offer optimal
coverage for genome-wide association, replication, and
candidate gene association studies.
Array design
SNP content and insertions/deletions (in/dels) for the Axiom™
Genome-Wide CEU 1 Array were selected from the Axiom Genomic
Database. These validated markers were derived from various public
sources, including the International HapMap Project, the Single
Nucleotide Polymorphism Database (dbSNP), and 1000 Genomes
Project content already in dbSNP (Figure 1). Each marker was tested
extensively to ensure reliable detection of the minor allele and
Axiom™
Genome-Wide CEU 1 Array Plate
The first array to maximize power for European populations with high coverage of rare variants
Axiom Genome-Wide CEU 1 Array
587,353 markers
HapMap
~464,000 markers
Novel
~122,000 markers
1000 Genomes Project
~98,000 markers
Non-HapMap in
dbSNP and NHGRI
~25,000 markers
Includes 11,500 in/dels
Figure 1: Source of genomic content for the Axiom Genome-
Wide CEU 1 Array.
Table 2: Performance metrics achieved by the Axiom Genome-Wide
CEU 1 Array.
Metric Specification 270 HapMap
Average SNP call rate >99% 99.6%
Average HapMap
concordance
>99.5% 99.8%
Average sample
repeatability
>99.8% 99.9%