Presentation on theme: "It og Sundhed Nov. 12 - 28 Jan. Thomas Nordahl Petersen, Associate Professor Center for Biological Sequence Analysis, DTU Normal"— Presentation transcript:
It og Sundhed Nov Jan. Thomas Nordahl Petersen, Associate Professor Center for Biological Sequence Analysis, DTU Normal Course related
Lectures and exercises Lectures: (room 60 & 62) Exercises: (room 027) Borrow laptops from CBS for exercises Wireless network: https://auth.wireless.dtu.dk/index.cgihttps://auth.wireless.dtu.dk/index.cgi Course days once a week - twice in week 51 Oral exam Jan Undervisning er på dansk, men undervisningsmateriale er fortrinsvis på engelsk.
Teachers Thomas Nordahl Petersen Rasmus Wernersson Lisbeth Nielsen Fink Anders Gorm Pedersen Bent Petersen Ramneek Gupta Thomas Blicher
This is a hands-on course The major part of the course is computer exercises We get to use the actual methods We get to use “live” online database
Everything is linked from the course programme
Readings, slides and hand-outs Power point presentations are uploaded when ready. Updated versions are available the day after.
Outline of the course Topics will cover a general introduction to bioinformatics –Evolution –DNA / Protein –Alignment and scoring matrices How does it work & what are the numbers –Visualization of multiple alignments Phylogenetic trees and logo plots –Commonly used databases Uniprot/Genbank & Genome browsers –Protein 3D-structure & homology modeling –Artificial neural networks & case stories –Practical use of bioinformatics tools Preparation for exam
Outline of the course
Information flow in biological systems
Automated sequencing The major break-through of sequencing has happended through automation. Fluorescent dyes. Laser based scanning. Capillary electrophoresis Computer based base- calling and assembly. Images:
CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS Theory of evolution Charles Darwin
Sequence alignment - Blast
Genome browsers - UCSC Intron - Exon structure Single Nucleotide polymorphism - SNP
Genome browsers - Ensembl
Neural Networks From knowledge to information Protein sequence Biological feature
Prediction of biological features Surface accessible Predict surface accessible from amino acid sequence only.
Logo plots Information content, how is it calculated - what does it mean.