PPT-Bioinformatics Lecture 1 – Introduction to Bioinformtics

Petrus Tang PhD 鄧致剛 Graduate Institute of Basic Medical Sciences and Bioinformatics Center Chang Gung University petangmailcguedutw EXT 5136 助教 蔡智宇 分機. Name one important thing that you learnt from this course that you feel will be important to your research career. Name one aspect you were hoping to learn that you did not. Pharm 201 Lecture 19, 2011. 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. 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. 1. Bioinformatics III. X-ray structure of the nucleosome core particle consisting of core histones, and DNA. Top view.. www.wikipedia.org. Side view shows two windings of DNA and two histone layers. The DNA of eukaryotic organisms is packaged into chromatin, whose basic repeating unit is the . Dr. Ronald Moura. ronaldmoura1989@gmail.com. https://www.linkedin.com/in/ronald-moura-660017178. /. Gordon Moore . “The . number of transistors in a dense integrated circuit doubles about every two . 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. . WS 2019/20 - lecture 16. 1. Bioinformatics III. What are . microRNAs. ?. How can one . identify. microRNAs?. What is the . function. of microRNAs?. Laird, Hum Mol Gen 14, R65 (2005). Huntzinger, Izaurralde, Nat. Rev. Genet. 12, 99 (2011). Shilpa. Deshpande . Kaistha. Associate Professor. Department of Life Sciences & Biotechnology. CSJM . Univeristy. Kanpur 208024. Introduction. The term bioinformatics was coined by . Paulien. . , . B.Sc. Biotech Teaching Assistant. Omdurman Islamic University. Bioinformatics Topics. Informatics. Biology. Operating Systems. Windows. , . Macintosh . both offer an intuitive . GUI . … familiarity . and its application in . Protein-DNA/Protein  Interactions Research . and Drug Discovery. . CMSC5719. Dr. Leung, . Kwong. . Sak. Professor of Computer Science and Engineering. Mar . 26, 2012. 2. Outline. Two. . methods. :. - Probabilistic . Regulation of Metabolism (PROM. ). and. - Integrated . Deduced . REgulation. And Metabolism (IDREAM. ), . by. . group. . of. . Nathan Price @ Institute . of. There exist different levels of computational methods for . describing metabolic networks:. - stoichiometry/kinetics of classical biochemical . pathways. (glycolysis, TCA cycle, .... - stoichiometric modelling (. Function. Structure. BIOLOGY . Biology. Biology. Biology Lecture E. . Anastasiadou. Bioinformatics – Biomedical Data Science 2021-2022. biomolecules. A . biomolecule. is any chemical molecule that is a structural or functional component of organisms and which is produced by them through metabolism..