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Bioinformatics and Comparative Genome Analyses Course

Introduction. Bioinformatics and Comparative Genome Analyses Course. Course web page: http://www.pasteur.fr/~tekaia/BCGA2012.html. Fredj Tekaia Institut Pasteur tekaia@pasteur.fr. EMBO Bioinformatics and Comparative Genome Analyses Course

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Bioinformatics and Comparative Genome Analyses Course

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  1. Introduction Bioinformatics and Comparative Genome Analyses Course Course web page:http://www.pasteur.fr/~tekaia/BCGA2012.html Fredj Tekaia Institut Pasteur tekaia@pasteur.fr EMBO Bioinformatics and Comparative Genome Analyses Course Stazione Zoologica Anton Dohrn, Naples, Italy, May 7 - 19, 2012

  2. Why this course ?

  3. 2847 153 173 13679 total projects: Complete genomes 3173 projects • 2079 published • 1094 Permanent Drafts (2012/05/02) Ongoing: • 7908 Bacteria • 213 Archaea • 2385 eukaryotes Metagenomes: 334 Tree of life GOLD: http://www.genomesonline.org/

  4. 13679 Projects 05-2012 Evolution of the number of complete genome sequencing projects Complete sequencing genomes span the three domains of life http://www.genomesonline.org/cgi-bin/GOLD/bin/gold.cgi

  5. Mathematics Statistics Bioinformatics Nucleotide & protein sequences and related informations Informatics Biology

  6. Bioinformatics and Comparative Genome Analysis The main objectives of the course are to familiarize participants with bioinformatics and large scale genome data analyses skills by introducing: 1- advanced fundamental algorithms used in Bioinformatics; 2- their application in genome analyses; 3- recent knowledge acquired from genomes studies and their perspectives.

  7. Main Lecture/practical topics include: • • Genomes comparisons: Technical aspects - writing scripts; • - Methods applied to families of genes/proteins: • multiple alignments, phylogeny analyses; • Determination of paralogs - orthologs and clustering; • - Genome visualization (Circos); • - Genomes alignments; • • Next Generation Sequencing: Methods and Tools; • • Chip-Seq: Methods and applications; • • Microarray: Methods for gene expression analyses; • • Protein-Protein Interactions;

  8. Lectures on specific topics and perspectives: • Base composition variability in vertebrate genomes; • Realistic Models and Efficient Algorithms in Bioinformatics/Biophysics Analyses of Genomes; • Transcriptome mining: examples of meta-analysis using gene expression data; • Eukaryotic Genomes and Evolution.

  9. Evening lecture at 8:00 Mme Christiane Groben: Freedom for Research: Anton Dohrn and Science management

  10. Thanks

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