PPT-Genome sequencing and assembly

MayoUIUC Summer C ourse in Computational Biology Session Outline Genome sequencing Schematic overview of genome assembly a DNA is collected from the biological sample and sequenced b The output from the sequencer consists of many billions of short unordered DNA fragments from random positions in the genome c The short fragments are compared with each other to discover how they overlap d The overlap relationships are captured in a large assembly graph shown as nodes representing . Method to sequence longer regions. cut many times at random (. Shotgun. ). genomic segment. Get one or two reads from each segment. ~500 bp. ~500 bp. Reconstructing the Sequence . (Fragment Assembly). 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. Assembly, and Alignment Methods . Andy Nagar. Agenda. Background. Next Generation Sequencing. Sequence Assembly. Sequence Alignment. Traditional Alignment Algorithms. Next Generation Alignment Algorithms. Stefano . Lise. Bioinformatics & Statistical Genetics (BSG) Core. The . Wellcome. Trust Centre for Human Genetics (WTCHG), Oxford. Email: stefano@well.ox.ac.uk. Outline. Human genetic variation in health and disease. Mayo/UIUC Summer . C. ourse in Computational Biology. Session Outline. Genome sequencing. Schematic overview of genome assembly. (a) DNA is collected from the biological sample and sequenced. (b) The output from the sequencer consists of many billions of short, unordered DNA fragments from random positions in the genome. (c) The short fragments are compared with each other to discover how they overlap. (d) The overlap relationships are captured in a large assembly graph shown as nodes representing . 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. Timetable for today. Time. Activity. 00:00. Introduction to the session. 00:10. Story cards . 00:20. Info cards. 00:30. Issue cards. 00:40. Discuss two key. issues. 00:45. Feedback your issues. What is DNA?. (very) large datasets. 5/24/18. Goals for the course. Understand how next-generation sequencing technologies are used in biomedical research. Learn how to use publicly available databases/websites to find specific information about genes. Derek M Bickhart . Animal Genomics and Improvement Laboratory . Research Geneticist (Animal) . derek.bickhart@ars.usda.gov . Phone: (301) 504-8679 Fax: (301) 504-8092. USDA disclaimer. Disclaimers: Mention of trade names, commercial products, or companies in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture over others not mentioned. . How we obtain the sequence of nucleotides of a species. …ACGTGACTGAGGACCGTG. CGACTGAGACTGACTGGGT. CTAGCTAGACTACGTTTTA. TATATATATACGTCGTCGT. ACTGATGACTAGATTACAG. ACTGATTTAGATACCTGAC. TGATTTTAAAAAAATATT…. Chris Fields. Genome Assembly | Saba Ghaffari | 2020. 1. PowerPoint by Saba Ghaffari. Introduction. Exercise . Perform a bacterial genome assembly using PacBio HiFi data.. Evaluation and comparison of different datasets and parameters.. for suspected cancer Information for patients and family members Genomic Medicine Service NHS What is your genome? Your genome is the information needed to build the human body and keep it health . Knowing how many genes determine a phenotype (Mendelian and/or QTL analysis), and where the genes are located (linkage mapping) is a first step in understanding the genetic basis of a phenotype . A second step is determining the sequence of the gene (or genes). Vince Buonaccorsi. Juniata College. Cost of sequencing. https://www.genome.gov/about-genomics/fact-sheets/Sequencing-Human-Genome-cost. Next (2. nd. ) Generation Sequencing. How does Illumina sequencing work?.