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Original Next Gen Seq Methods set of slides prepared for Technorazz Vibes 2016. There is also a shorter version. This starts with an introduction to qPCR followed by an introduction to Library Complexity. Microarrays are discussed as well along with a very short introduction to FISH. Finally discussion of Next gen seq methods is done where generation of sequencers are discussed and a short discussion of the ILLUMINA protocol. Finally comparison of ILLUMINA amongst other 3rd gen sequencer, description of the standard pipeline and the omics technologies that have risen from this seq data.
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AGRF in conjunction with EMBL Australia recently organised a workshop at Monash University Clayton. This workshop was targeted at beginners and biologists who are new to analysing Next-Gen Sequencing data. The workshop also aimed to provide users with a snapshot of bioinformatics and data analysis tips on how to begin to analyse project data. An introduction to RNA-seq data analysis was presented by AGRF Senior Bioinformatician Dr. Sonika Tyagi. Presented: 1st August 2012
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Single Nucleotide Polymorphism Single nucleotide polymorphism (SNP) refers to a single base change in a DNA sequence SNP: Commonly biallelic Two types(Based on presence in genome) Synonymus Non-synonymus SNPs have largely replaced simple sequence repeats (SSRs) Advantage of using SNPs Low assay cost High genomic abundance Locus specificity co-dominant inheritance Simple documentation Potential for high-throughput Analysis Relatively low genotyping error rates SNP genotyping platforms BeadXpressTM,GoldenGateTM and Infinium from Illumina GeneChipTM and GenFlexTM Tag array from Affimetrix SNaPshotTM and TaqManTM from the Applied Biosystems SNPWaveTM from KeyGene iPLEX GoldTM Assay and Mass-RRAYTM from Sequonome Variables to be considered Throughput Data turnaround Time Ease of use Performance (sensitivity, reliability, reproducibility, and accuracy), Flexibility (genotyping few samples with many snps or many samples with few snps), Number of markers generated per run (uniplex versus multiplex assay capability) Assay development requirements and genotyping cost per sample or data point. KASP KBioscience Competitive Allele-Specific PCR Homogenous, Fluorescence-based genotyping technology, based on Allele-specific oligo extension (primer) Fluorescence resonance energy transfer KASP Applications Genotyping a wide range of species for various purposes. KASP for Quality analysis, QTL mapping, MARS, and allele mining Quality Control Analysis QC analysis should be done for two reasons by genotyping the parents and F1s with the same subset of SNPs, in order to confirm if F1s contains true-to-type alleles from their parents check the genetic purity of the inbred parents. F1s with true-to-type parental alleles for at least 90 % of the SNPs that were polymorphic between the parents should be advanced, while those with less than 10 % nonparental alleles should be discarded. QTL Mapping QTL mapping identifies a subset of markers that are significantly associated with one or more QTL influencing the expression of the trait of interest. 1) Select or develop a bi-parental mapping population. 2) Phenotype the population for a trait under greenhouse or field conditions. 3) Choose a molecular marking system – genotype parents of the mapping population and F1s with large numbers of markers, then select 200-400 markers exhibiting polymorphism between the parents. 4) Choose a genotyping approach, then generate molecular data for polymorphic markers 5) Identify the molecular markers associated with major QTL using statistical programs. Large-scale allele mining Allele mining is a promising approach to dissecting naturally occurring allelic variation at candidate genes controlling key agronomic traits. KASP platform at CIMMYT has been used for the systematic mining of large germplasm collections for specific functional polymorphisms. SNPs or small indels that
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