IAMBEE: Network-Based Identification of Adaptive Pathways

IAMBEE is a web server designed for network-based genotype-phenotype mapping of clonal populations that display the same focal phenotype. Such populations are typically obtained through either natural or experimental evolution. The goal is to derive from the genomic information of these populations the genes that carry alterations causal to an observed common adapted phenotype (referred to as drivers).

IAMBEE takes as input an organism specific interaction network, and the variants called in each of the evolved populations (clones). It then identifies drivers/driver pathways by searching for recurrently mutated genes/subnetworks on the interaction network. IAMBEE is designed to identify infrequent drivers in highly mutated populations.

For more information on the experimental set up you can analyse, see Aims. If IAMBEE was useful to you, please cite us Click here to visit NCBI publication site.

Network-Based Identification of Adaptive Pathways in Evolved Ethanol-Tolerant Bacterial Populations.
Toon Swings, Bram Weytjens, Thomas Schalck, Camille Bonte, Natalie Verstraeten, Jan Michiels, and Kathleen Marchal
Mol Biol Evol. 2017 Nov 1;34(11):2927-2943. doi: 10.1093/molbev/msx228.
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People Working in This Project

From the bio-informatics group Data Integration and Biological Networks

Prof. Dr. Kathleen Marchal
Head of department
Dept. of Information Technology, IMinds; Dept. of Plant Biotechnology and Bioinformatics; 'Bioinformatics Institute Ghent
Contact:
kathleen.marchal@ugent.be
Dr. Bram Weytjens
Dept. of Information Technology, IMinds; Dept. of Plant Biotechnology and Bioinformatics; 'Bioinformatics Institute Ghent
Camilo A. Perez Romero
Bioinformatics Msc. PhD candidate
Dept. of Information Technology, IMinds; Dept. of Plant Biotechnology and Bioinformatics; 'Bioinformatics Institute Ghent
Contact:
camiloandres.perezromero@ugent.be