1

microRNA: Theory intro, RFAM database, RNAfold, PSSM/PWM, SequenceLogo

2

EMBOSS Software Package: Tutorial, “Gaston's study of a human protein”
Working material:
pUC19.seq: sequence of a coloning vector in gcg format
Exercise: A study of a human protein

3

Multiple Sequence Alignments: Reminder on strategy, using + comparing clustalw, t-coffee, dialign, mucle, probcons to align protein sequences of G-Protein coupled receptors (GPCR), aligning human hemoglobin (a-chain), myoglobin and lupin leghemoglobin: despite the low mutual sequence identity (m-l 23%, h-l 15.6%) high structural similarity.

Using splitstree (jsplits) to reconstruct the phylogeny of the aligned GPCR.

Quick introduction to phylogeny; programming task: building gene-trees of genes that 8 given bacteria have in common (identifying “same” genes by their name...)

Questions on: COG database and EBI proteome

4

Answering questions on COG and EBI proteome, PAUP tutorial, VMD tutorial, visualizing 1AMU.pdb (Gramicidin Synthetase I A-domain, a NRPS), reveal its active site.

5

MODELLER, short intro, tutorial, homology modelling of 1AMU.pdb-homologs, comparing the modeled structure with the template structure.

Using HMMer (short intro to profile HMMs) to extract the A-domain of the NRPS for the homology modelling with 1AMU.

6

BLAST introduction based on Olaf's tex-slides, blasting two related bacterial genomes. CGViz intro (by Olaf), visualizing the blast-report with CGViz. Working through the CGViz tutorial. GCB04-talk “Syntenic layout of two assemblies of related genomes”. Using CGViz with the OSLay plug-in (implementation of the optimal syntenic layout algorithm by Daniel Richter) on the drosophila dataset.

7

CGViz with OSLay-plugin: understanding the different options, testing the software on different unfinished bacterial assemblies from genomesonline.org.

MUMmer: intro on suffix trees (including running time, space and search time complexity), using MUMmer (nucmer) to compare unfinished bacterial assemblies, rusult used as input for CGViz-OSLay.

8

SVMs: Intro: Florian Markowetz intro slides, reading + discussing two articles on protein sequence classification. Using the SVM implementation SVMlight to run the supplied example (text classification based on the Reuters dataset).

Running and evaluating SVMlight on the Wisconsin breast cancer data set.

9

Debriefing and concluding remarks, hand-out of the certificates of attendance (Scheine).