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Algorithmic Bioinformatics

Welcome to the online presence of jlab, short for our working group at Justus Liebig University Giessen: Algorithmic Bioinformatics.

Established in 2019, our core interests are statistical methods for microbiome analyses and combinatorial techniques for sequential data.

Microbiome

The microbiome is the complex community of hundreds to thousands of species from the domains of bacteria, archaea, viruses, fungi and small protists. These microorganisms can be found on all niches on earth, also on and in plants and animals. Actually, the human body should be thought of as a super-organism, since it is composed of roughly the same number of microbial cells as human cells. Utilizing high throughput DNA sequencing, which produces giga- to tera-byte of raw data for hundreds to hundred thousands of microbial samples, we develop tools to process and analyze these gigantic datasets in order to investigate the rich interplay between the microbiome and its host organisms.

Infrastructure

As partners of the NFDI4Microbiota consortium by the National Research Data Infrastructure Germany, we aim to democratize microbiome studies by providing bioinformatic services and training to scientists in the microbial community. With the lead in the task area services, our goal is the development of a central platform for data deposition and searching for datasets in public repositories, as well as supply analytical services like the microbiome data analysis platform Qiita to a new audience of users.

Algorithm Design

Analyzing sequential data is in many cases based on the algorithmic technique of Dynamic Programming. By developing the language "Bellman's GAP" and an according compiler, we are able to clearly separate independent concerns of Dynamic Programming algorithms which are typically amalgamated in implementations and hamper extending these programs to novel problem formulations.

People

Members of the team "Algorithmic Bioinformatics".

Publications

Work published by members of the team "Algorithmic Bioinformatics".

Teaching

Available Bachelor/Master theses topics.... or bring your own project!

Contact

How to reach us.

Calendar

It might ease scheduling an appointment if you are able to take a look at our availabilities:
(Stefan's core working hours are from 9am to 5pm European Central Time / UTC+01:00)