PPT-Failures in interpretation of sequencing results

v10 Laura Biggins Interpretation Library Contamination Biological Interpretation Technical Tracking Interpreting results QC and visualisation still important Easy to draw wrong conclusions from the data . 1. Eytan. . Modiano. Joint work with . Marzieh. . Parandehgheibi. David Hay. IEEE . SmartGridComm. November 4, 2014 . Motivation. 2. Risk of Large blackouts such as 2003 blackout in North-East America. Jørn Vatn. NTNU. jorn.vatn@ntnu.no. Definitions. Failure. In order to define the term ‘failure’, we need first to introduce the term ‘function’. A unit or system (entity) is designed for performing one or more functions. MOLECULAR BIOLOGY TECHNIQUES II.. Polymerase Chain Reacton – PCR. DNA sequencing. Amplification of specific DNA fragments. MOLECULAR BIOLOGY – PCR. Cloning and/ or isolation from a genomic library . Dan . Russell. Overview. Prologue: Assembly and Finishing. The Past: Sanger. The Present: Next-Gen (454, . Illumina. , …). The Future: ? (. Nanopore. , . MinION. , Single-molecule). Overview. Prologue: Assembly and Finishing. Dan . Russell. The past, present, and future of DNA . sequencing*. Dan . Russell. *DNA sequencing:. D. etermining the number and order of nucleotides that make up a given molecule of DNA.. (Relevant) Trivia. Craig A. . Praul. Co- Director . Genomics Core Facility. Huck Institutes of the Life Sciences. Penn State University. A very short history of DNA sequencing. I started from the conviction that, if different DNA species exhibited . :. informatics & software aspects. Gabor T. Marth. Boston College Biology . Department. BI543 Fall 2013. January 29, 2013. Traditional DNA sequencing. Genetics of living organisms. DNA. Chromosomes. INTRODUCTION . The most commonly used technology until a few years ago – BAC. WHOLE GENOME SEQUENCING. ADVANTAGES OF WGS. Utility of next – gen sequence reads . The next-generation platforms are effecting a complete paradigm shift, not only in the organization of large-scale data production, but also in the downstream bioinformatics, IT, and LIMS support required for high data utility and correct interpretation.. DNA sequencing. How we obtain the sequence of nucleotides of a species. …ACGTGACTGAGGACCGTG. CGACTGAGACTGACTGGGT. CTAGCTAGACTACGTTTTA. TATATATATACGTCGTCGT. ACTGATGACTAGATTACAG. ACTGATTTAGATACCTGAC. Lenka Veselovská. Laboratory of Developmental Biology and Genomics . Next Generation Sequencing (NGS) . M. odern high-throughput DNA sequencing technologies. parallel, rapid . Decreasing price, time, workflow complexity, error rate. Ion . Mandoiu. Computer Science and Engineering Department. University of Connecticut. Outline. Background on high-throughput sequencing. Identification of tumor-specific . epitopes. Estimation of gene and . Sarah Dean. Lecture Overview. Types of Samples. Types of Stains. Interpretation of results. Clinical . vs. Research. How do we ensure those results are valid?. Use of controls. UK NEQAS scheme. Types of analyses/statistical tests. In Nontraditional Computing Environments. J. Alex Halderman. CD DRM. 2003, 2005. SDMI. 2001. CSS. 1999. AACS. 2007. Diebold. 2003, 2006. What’s the common “thread”?. Nontraditional Environments. Cédric Hernalsteens. , . Oskari. . Tuormaa. , . Meritxell. . Villen. . Basco. , Christophe . Lannoy. , Robin . Tesse. , Eustache . Gnacadja. , Bjorn Lindstrom, . Eliott. . Ramoisiaux. , Christoph Wiesner, Daniel .