Labs_9_and_10_Bioinformatics_Parts_A_and (1)

Labs_9_and_10_Bioinformatics_Parts_A_and (1) - 1 BIOL 230W...

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1 BIOL 230W – Fall 2014 Lab # 9 and 10: Bioinformatics Labs A and B 17 November 2014 Important Note: You will have two labs (A and B) to complete the exercises and then write your Lab Report # 2 based on these two labs Introduction What's Bioinformatics ? Copyright© Kerstin Wagner
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2 many names, for instance, boinformatics , biocomputing , biological computing , computational biology , computational genomics , biological data mining ... no formal definition of bioinformatics field of science in which biology, computer science and information technology merge into a single discipline development and application of computing, mathematical and statistical methods to analyze biological, biochemical and biophysical data employs computers to store, retrieve, analyze and assist in understanding biological information multidisciplinary field required in-depth knowledge of e.g. mathematics, algorithms, statistics, data mining, natural language processing, genome science, sequence analysis, molecular biology, pharmacology, biophysics, hardware engineering and software programming 3 important sub-disciplines development and implementation of tools to access and manage different types of information analysis and interpretation of various types of data including nucleotide and amino acid sequences, protein domains and protein structures development of new algorithms and statistics to assess relationships in large data sets Aims of Research provide new insights into biological function understand the functioning of living things to apply the knowledge for "improving the quality of life" (in order to understand and fight against diseases) databases (design, handling, ...) gene and genome mapping analysis of gene expression data search for gene functions
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3 identification of genetic risk factors pathways, metabolic and regulatory networks (modelling, simulation, ...) structure prediction (protein folding, sequence alignments, homology search, ...) target identification drug design (docking studies, HTS, screening tests, ...) gene therapy ... What Kinds of Data? sequence data structural information expression data molecular interaction data mutation data phenotypic data ... Application Areas post-genome applications sequence analyses protein structure prediction data processing, data management database searches phylogenetic analyses
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4 gene expression, expression data analysis recognition of genes and regulatory elements visualization, modelling and simulation of metabolic pathways and regulatory networks software tools ... Biological Information Flow Bioinformatics attempts to model and interprets this pathway: genome -> introns/exons -> gene sequence -> protein sequence -> protein structure -> protein function - cellular pathways & networks Genomics sequencing, comparative genomics, genome annotation, microarray technology Proteomics
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