PPT-Transcriptome Assembly and Quantification

from Ion Torrent RNASeq Data Alex Zelikovsky Department of Computer Science Georgia State University Joint work with Serghei Mangul Sahar Al Seesi Adrian Caciula Dumitru Brinza . Michael Clarkson and Fred B. Schneider. Cornell University. RADICAL. May 10, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. of Information. (relationship to database privacy). Lecture One. Paul . Constantine. March 29, 2011. What is UQ???. Uncertainty Quantification – ME470. Paul Constantine. Combining computational models, physical observations, and possibly expert . judgment . Unveiling . the Transcriptome using . RNA-. seq. Jinze. Liu. Outline. What is the transcriptome?. Measuring the transcriptome. Sampling the transcriptome using short reads. Alignment of reads to a reference genome. Michael Clarkson and Fred B. Schneider. Cornell University. IEEE Computer Security Foundations Symposium. July 17, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. Understanding the RNA-Seq evidence tracks on . the GEP UCSC Genome Browser. Wilson Leung. . 08/2016. Introduction to RNA-Seq. RNA-Seq: Massively parallel . RNA. . Seq. uencing using second or third generation sequencing technologies. C. onifer . G. enome, Loblolly Pine. Jill Wegrzyn. Pieter . de Jong, . Chuck Langley, Dorrie Main, Keithanne Mockaitis, . Steven Salzberg, . Kristian. . Stevens. , Nick . Wheeler, Jim . Yorke, . Aleksey . Maryann S. Vogelsang. 1. , Amol Prakash. 1. , David Sarracino. 1. , Scott Peterman. 1. , Bryan Krastins. 1. , Jennifer Sutton. 1. , Gregory Byram. 1. , Gouri Vadali. 1. , . Shadab. Ahmad. 1. ,. Bruno Darbouret. Barbara Radovani. Genomics. . Master . of. Advanced . genetics. , UAB. Transcriptome. . Source. : https://www.genome.gov/13014330/transcriptome-fact-sheet/. The transcriptome, the entire repertoire of transcripts in. TexPoint fonts used in EMF: . A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. David Tse. Stanford University. Symposium on Turbo Codes and Iterative Information Processing . Bremen, Germany. August 20, 2014. Analysis. Jessica Holmes. High Performance Biological Computing (HPCBio). Roy J. Carver Biotechnology Center. General Outline. Getting the RNA-Seq data: from RNA -> Sequence data. Experimental and practical considerations. Sheri Sanders. Bioinformatics . Analyst. NCGAS @ IU. ss93@iu.edu. Scope. What I’m not talking about. PacBio. . Iso-seq. . Experimental Design. What I am going to talk about. How Trinity works, and why you care. BIOINFORMATICA. per il CLM in BIOLOGIA EVOLUZIONISTICA. Scuola di Scienze, Università di Padova. Prof. STEFANIA BORTOLUZZI. Outline. Transcriptomics. today. RNA-. seq. features and advantages. Transcriptome. BIOINFORMATICA. per il CLM in BIOLOGIA EVOLUZIONISTICA. Scuola di Scienze, Università di Padova. Prof. STEFANIA BORTOLUZZI. Outline. Transcriptomics. today. RNA-. seq. features and advantages. Transcriptome. BIOINFORMATICA. per il CLM in BIOLOGIA EVOLUZIONISTICA. Scuola di Scienze, Università di Padova. Prof. STEFANIA BORTOLUZZI. Outline. Transcriptomics. today. RNA-. seq. features and advantages. Transcriptome.