Results for "MV data analysis"
ResearchLabs posts
...Bioinformatics High-throughput and high-dimensional data analysis Microbiome data analysis (Main focus) Next-generati...ion sequencing data analysis for genomics Gene expression data analysis Machine learning for biolo...1097 days ago
- ...to study basic principles of cellular functioning starting from genomic data. We run several projects in p...e: Domain annotation and metagenomics Transcriptomics and sequence analysis Protein evolution and intera...
3261 days ago
- Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation...genomic, expression, methylation and proteomic data sets, as well as the application of whole genome sequence analysis in clinical diagnostics....
3261 days ago
- ...topics such as: Human genetic variation Inference of human evolutionary history from genetic markers Statistical analysis of population-genetic data Mathematical models of gene...
3259 days ago
- ...graph). - AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. - AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet...
3239 days ago
- 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...
3221 days ago
- ...ction as well latest Bioinformatics software for sequence and structure analysis. The centre provides the...n computer. Create awareness for taking preventive measure against data security Organize workshops...
3218 days ago
- ...enomes, Metagenomics, Genomic databases, Pattern Discovery in se...structures, micro-array data analysis, prediction of regulatory...n, probe design, phylogenetic analysis, medical image processing, image analysis, data integration, data mining, informa...
3190 days ago
- ...elop novel statistical methods and computational tools for the analysis of high dimensional data arising from "Multi-omics" applications. In particular, current activities involve the analysis of ChIP-seq and RNA-seq exper...
2956 days ago
- 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/
3030 days ago
