Difference between revisions of "Welcome to the Computational Biology Group!"
Line 9: Line 9:
 
[[Image:CBG 2017.png|800px]]
 
[[Image:CBG 2017.png|800px]]
  
−
The ''Computational Biology Group'' (CBG) is part of the ''[https://www.unil.ch/dbc/en/home.html Department of Computational Biology (formerly Department of Medical Genetics)]'' at the [http://www.unil.ch University of Lausanne]. We have interest in various fields related to Computational Biology, which are detailed in the [[Science]] section of this wiki. Briefly, there are two main directions: We develop and apply methods for the integrative analysis of large-scale biological and clinical data. This includes ''molecular'' phenotypes like gene-expression and metabolomics data, as well as ''organismal'' phenotypes (such as height, BMI or a disease). We focus particularly on relating these phenotypes to genotypes such as "Single Nucleotide Polymorphisms" (SNPs) and "Copy Number Variants" (CNVs) measured by microarrays or next-generation sequencing. Our goal is to move towards predictive models in order to improve the diagnosis, prevention and treatment of disease. A complementary direction of research pertains to relatively small genetic networks, whose components are well-known. We collaborate closely with experts of the field to identify biological systems that can be modeled quantitatively. Our goal in developing such models is not only to give an approximate description of system, but also to obtain a better understanding of its properties. For example, regulatory networks evolved to function reliably under ever-changing environmental conditions. This notion of robustness can guide computational analysis and provide constraints on models that complement those from direct measurements of the system's output.
+
== Who are we? ==
 +
The Computational Biology Group (CBG) is a research group embedded in the [http://unil.ch/dbc Department of Computational Biology] at the [http://unil.ch University of Lausanne]. The group consists of PhD students and postdocs and is led by [[user:Sven | Prof. Sven Bergmann]].
  
−
In general, our group seeks an interdisciplinary approach, bridging the traditional gaps between physics, mathematics and biology. Our lab collaborates with experimental groups within and outside our department. In particular, due to our proximity to the University Hospital ([http://www.chuv.ch CHUV]) we have close contacts to medical research groups and assist the analysis of clinical data.
+
== What are our interests? ==
 +
We develop and apply methods for the integrative analysis of large-scale biological and clinical data. Our goals are to improve fundamental understanding of how genetic variability affects phenotypes, to learn about underlying molecular mechanisms, and to make use of our insights to improve the diagnosis, prevention and treatment of disease whenever possible [Learn more]. We are also interested in relatively small biological systems that can be modeled quantitatively. Here our goal is to better understand the properties of these systems that contribute their functionality such as robustness and evolvability under changing environmental conditions [Learn more].
 +
 
 +
== How do we work? ==
 +
Most of our work is computational, which means we use computer algorithms to process and analyse data. Our analyses often have a statistical component to evaluate the significance of results. Whenever possible we describe our data using mathematical models. Sometimes these models can be solved analytically, but often we rely on numerical solutions and simulations. Some of our methods have a heuristic component, but we try to evaluate them rigorously and make them as practical as possible. We strongly believe in sharing our analysis tools and open Science in general.
 +
 
 +
Our group seeks an interdisciplinary approach, bridging the traditional gaps between physics, mathematics and biology. Our lab collaborates with experimental and medical research groups.
  
 
== General info on this wiki ==
 
== General info on this wiki ==

Revision as of 14:15, 3 April 2019




CBG 2017.png

Who are we?

The Computational Biology Group (CBG) is a research group embedded in the Department of Computational Biology at the University of Lausanne. The group consists of PhD students and postdocs and is led by Prof. Sven Bergmann.

What are our interests?

We develop and apply methods for the integrative analysis of large-scale biological and clinical data. Our goals are to improve fundamental understanding of how genetic variability affects phenotypes, to learn about underlying molecular mechanisms, and to make use of our insights to improve the diagnosis, prevention and treatment of disease whenever possible [Learn more]. We are also interested in relatively small biological systems that can be modeled quantitatively. Here our goal is to better understand the properties of these systems that contribute their functionality such as robustness and evolvability under changing environmental conditions [Learn more].

How do we work?

Most of our work is computational, which means we use computer algorithms to process and analyse data. Our analyses often have a statistical component to evaluate the significance of results. Whenever possible we describe our data using mathematical models. Sometimes these models can be solved analytically, but often we rely on numerical solutions and simulations. Some of our methods have a heuristic component, but we try to evaluate them rigorously and make them as practical as possible. We strongly believe in sharing our analysis tools and open Science in general.

Our group seeks an interdisciplinary approach, bridging the traditional gaps between physics, mathematics and biology. Our lab collaborates with experimental and medical research groups.

General info on this wiki

This wiki is the main instrument to centralize and archive information on and generated by the CBG. Ask Micha if you have any questions or need an account.


NEWS
Retrieved from "http://www2.unil.ch/cbg/index.php?title=Welcome_to_the_Computational_Biology_Group!&oldid=5628"