Our group works on various problems connected with the...iples of cellular functioning starting from genomic data. We run several projects in p...ion and metagenomics
Transcriptomics and sequence analysis
Protein evolution and intera...
Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily s...mic, expression, methylation and proteomic data sets, as well as the application of whole genome sequence analysis in clinical diagnostics....
Research. Research in the lab focuses on mathematical, statistical, and com...nce of human evolutionary history from genetic markers
Statistical analysis of population-genetic data
Mathematical models of gene...
PIT Bioinformatics Group solves problems in bioinformatic...lementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.
- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet...
Raphael Lab research is focused on Bioinformatics and Computational Biology.
Cur...ructural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cance...
The Bioinformatics Centre at BISR has created an infras...Bioinformatics software for sequence and structure analysis. The centre provides the...ate awareness for taking preventive measure against data security
Organize workshops...
This research group works on prob...enomes, Metagenomics, Genomic databases, Pattern Discovery in se...structures, micro-array dataanalysis, prediction of regulatory...n, probe design, phylogenetic analysis, medical image processing, image analysis, data integration, data mining, informa...
Laboratory of Statistics and Computational tools f...stical methods and computational tools for the analysis of high dimensional data arising from "Multi-omics" applic...In particular, current activities involve the analysis of ChIP-seq and RNA-seq exper...
They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.
https://www.pmgenomics.ca/hoffmanlab/