Integrative Informatics for Infection Biology
Recent years have seen accelerating development of high-throughput technologies in infection biology. Now, thousands of genetic loci can be simultaneously interrogated in a single experiment, providing an array of measurements of transcription, translation, regulatory interactions, and fitness effects. The bottleneck in advancing our understanding of pathogens now lies in moving from hypothesis-free screening through data integration to hypothesis generation. We develop new statistical, computational, and visualization approaches to overcome this bottleneck in the interpretation of complex post-genomic data. This group is located at the Helmholtz Institute for RNA-based Infection Research (HIRI).
Leader
Selected Publications
Barquist L, Vogel J
Accelerating discovery and functional analysis of small RNAs with new technologies
Annu Rev Genet 2015, 49: 367-394
Wheeler NE, Gardner PP, Barquist L
Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica
PLos Genetics In press
Barquist L, Mayho M, Cummins C, Cain AK, Boinett CJ, Page AJ, Langridge GC, Quail MA, Keane JA, Parkhill J
The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries
Bioinformatics 2016, 32(7): 1109-1111
Wheeler NE, Barquist L, Kingsley RA, Gardner PP
A profile-based method for identifying functional divergence of orthologous genes in bacterial genes
Bioinformatics 2016, 32(23): 3566-3574
Westermann AJ, Förstner KU, Amman F, Barquist L, Chao Y, Schulte LN, Müller L, Reinhardt R, Stadler PF, Vogel J
Dual RNA-seq unveils noncoding RNA functions in host-pathogen interactions
Nature 2016, 529(7587): 496-501
Further Information
A current overview of the team and further information about the research group can be found on the HIRI page.
