PPT-Bioinformatics Resources

Provided by WVINBRE Mary E Davis PhD Bioinformatics Core Director Outline Overview of WVINBRE Technology supported Agilent microarray Illumina HiSeq1000 Next Generation Sequencing Bioinformatics analysis resources supported. 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. 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. The term ‘Bioinformatics’ was first introduced in 1970 by . Paulien. . Hogeweg. . to refer to the study of information processes in biotic systems. While some people define the term as “. An integration of computer, mathematical and statistical methods to manage and analyze biological information. 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. 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 . 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. Keywords: 1. Bioinformatics which is coming with HGP brings together the fields of life science, computer science and statistics and strives to understand important than ever. Bioinformatics and co 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. , . B.Sc. Biotech Teaching Assistant. Omdurman Islamic University. Bioinformatics Topics. Informatics. Biology. Operating Systems. Windows. , . Macintosh . both offer an intuitive . GUI . … familiarity . There exist different levels of computational methods for . describing metabolic networks:. - stoichiometry/kinetics of classical biochemical . pathways. (glycolysis, TCA cycle, .... - stoichiometric modelling (.