PPT-CS 5263 & 4233 Bioinformatics

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Transcriptomic and other omic Data Analysis in Bioinformatics Outline What is transcriptome Basic techniques to obtain transcriptomic data Computational and

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CS 5263 & 4233 Bioinformatics: Transcript

Transcriptomic and other omic Data Analysis in Bioinformatics Outline What is transcriptome Basic techniques to obtain transcriptomic data Computational and statistical methods involved in . G.Gibson. Homework. 3. Mylène Champs. Marine Flechet. Mathieu . Stifkens. 1. Bioinformatics - GBIO0009-1 - . K.Van. Steen University of . Luny 39, 4233 ctg etgctgf cnopg thg boupfctkgs bgtwggp fkffgtgpt wgcvgs0 Ip gssgpeg c ﬂoctgt ks etgctgf whgp opg wgcvg ngcvgs off just bgfotg kt wounf hcvg ecusgf cp kptgtnceg cpf ks bggp c Introducing Programming in Genetics Classes. Ogun. . Adebali. , Ed . Himelblau. , . Ioannis. . Tsiligaridis. A Bridge to Bioinformatics Tools. Goals:. -Reinforce material learned in the genetics . c. Outline. Introduction/Questions. Explain . user space (home directories) vs share space (. lab directories/shares).. Working . in a team, file/folder . permissions.. The . module system, when to request software, when to install software . High-throughput Data Analysis. Literature Study. Data Mining . Functional Genomics Analysis. Vector NTI Advance®. Software. License type. License number. 2008. 2009. 2010. 2011. 2012. 2013. 2014. Galaxy. th. Dec . 2016, CERTH-INAB . EGI Federated Cloud. and . Chipster. Platform for Bioinformatics Studies. Dr. Yin . Chen (. EGI Foundation). , . yin.chen@. egi.eu. . Dr. . Fotis. . Psomopoulos. (AUTH. Jan - June 2015. Consulting researchers on bioinformatics tools, data analysis, data management, . and interpretation of experimental . data.. Analyzing of high. -throughput . sequencing data and conducting . Richard H. Scheuermann, Ph.D.. Director of Informatics. JCVI. Outline. What is Bioinformatics? . Some definitions. Data types and analysis objectives. Big Data. T. he Big Data . value proposition. The Power of Bioinformatics. Section 1: Introduction and biological databases.. Section 2: Sequence alignment.. Section 3: Gene and promoter prediction.. Section 4: Molecular phylogenetics.. Section 5: Structural Bioinformatics. Dr. . Matthew . Cserhati (UNMC). Nebraska . Wesleyan. Phage Symposium. April 15, 2016. Personal introduction. MSc: . biology. , . Eotvos Lorand University, Hungary. BSc: . University of Szeged, . software engineering, Hungary. computer science, mathematics, information technology and statistics. to analyze the biological data like . genomics, Protein structure prediction, . Pharmaco-phore. modeling , toxicity prediction and drug designing.. Lecture 1 – Introduction . to . Bioinformatics. Petrus Tang, Ph.D. (. 鄧致剛. ). Graduate Institute of Basic Medical Sciences. and. Bioinformatics Center, Chang Gung University. .. petang@mail.cgu.edu.tw. Petrus Tang, Ph.D. (. 鄧致剛. ). Graduate Institute of Basic Medical Sciences. and. Bioinformatics Center, Chang Gung University. .. petang@mail.cgu.edu.tw. EXT: . 5136. 助教：. 蔡智宇. (. 分機. New assay validation. The bioinformatics team is developing a new analysis pipeline for a new NGS assay being introduced in the laboratory. You are representing the bioinformatics team in a meeting with Clinical Scientists from genomics to plan the validation. .

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