Algorithmic Bioinformatics

Computational Methods for High-Throughput Omics Data

In this seminar, we will focus on two different kinds of high-throughput technologies:
  1. second-generation DNA sequencing
  2. liquid chromatography / mass spectrometry.

In the first part, we will address current computational methods for processing and analysing DNA sequencing data. In particular, we will focus on methods for the detection of genomic variation, i.e. differences between individual genome sequences. These differences include single nucleotide polymorphisms (SNPs), insertions/deletions, copy number variants, and genome rearrangements.

The second part will explore methods for quantitative proteome analysis using mass spectrometry, especially state-of-the-art multiplexing techniques (parallel processing of multiple analytes) vs. label-free methods, also considering experimental design and biomarker discovery. We will provide a number of relevant scientific articles and students will be expected to choose at least one for presentation in the seminar.

Where required we will have introduction talks to new technologies, before more involved topics are discussed.





Knut Reinert, Chris Bielow, Anne-Katrin Emde

Credit Points



Arnimallee 6 SR 009


Dienstag 14 - 16 Uhr

Vorbesprechung am 18.10. !


Oct 18, 2011 | 02:00 PM

Please check our wiki for material and additional information about the seminar