PPT-Transcriptome

reconstruction and quantification Lecture algorithms amp software solutions Exercises II denovo assembly using Trinity Exercises I readmapping and quantification using Cufflinks Outline. Meharg Institute for Global Food Security Queens University Belfast David Keir Building Malone Road Belfast BT9 5BN UK Institute of Biological and Environmental Sciences University of Aberdeen Cruickshank Building St Machar Drive Aberdeen AB24 3UU U Transcriptome Study Mosquito species ORs GRs IRs OBPs Top 1000 genes in antenna**antennal genes in Q3 of palp Hodges et al. coluzzii 0.79 0.95 0.95 0.76 quadriannulatus 0.77 0.90 0.95 Pitts et a Whole . brain . RNA-. Seq. Data . from . Sanger Institute Mouse Genomes . Project [Keane et al. 2011]. Synthetic hybrids with different levels of . heterozygosity. generated by pooling reads from C57/BL6 and four other strains. in . collagen VI related myopathies. Muscle Study Group. September 22, 2014. R.J. . . Butterfield, MD, PhD. University . of Utah, Salt Lake City UT, . Ullrich. congenital muscular dystrophy. Bönnemann. VKR RESEARCH CENTER PRO-ACTIVE PLANTS. F A C U L T Y O F L I F E S C I E N C E S. U N I V E R S I T Y O F C O P E N H A G E N. Genes involved in metabolism of cyanogenic glucosides in . Zygaena filipendulae. Next Generation Sequencer Applications. DeNovo Sequencing. Resequencing, Comparative Genomics. Global SNP Analysis. Gene Expression Analysis. Methylation Studies. ChIP . Sequencing-transcription factors, histones, polymerases. 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 . With Emphasis on Resolution of the Perloidea. Pickett, BD. Shiozawa, DK. Whiting, MF. Davis, NG. Ridge, PG. Introduction. Data & Objectives. Data. Transcriptomes. 7 Plecoptera . – I’ll show you which ones. Alisha Holloway, PhD. Gladstone Bioinformatics Core Director. What is RNA-seq?. Use of high-throughput sequencing technologies to assess the RNA content of a sample.. Why do an RNA-seq experiment?. Detect . from Ion . Torrent RNA-Seq Data. Alex Zelikovsky . Department of Computer Science. Georgia State University. Joint work with Serghei Mangul, . Sahar . Al . Seesi, Adrian . Caciula, Dumitru Brinza. , . Joel Parker, Ph.D.. LCCC Biomedical Informatics. UNCseq. : . Cancer genome analysis of 1000 UNC Hospital patients. TCGA: Processed and distributed 8K cancer . transcriptomes. (>1PB). Cancer Survivorship . 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. 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.