Data Analysis | Resources - IMPACTT microbiome

Get bioinformatics support from the the “Secret Society of Bioinformagicians” from Simon Fraser University. This group of bioinformaticians at different career stages (PhD and grad. students) hope to provide an environment for students and other academics to come together to talk about their work related to Genomics, Proteomics, and Metabolomics. On their website you can share questions about your research and/or help others with their research questions, find useful bioinformatics resources and links.

McGill University – Statistical Genetics Group

This page contains R software packages for analyzing genetic and genomic data, as well as tutorials on various useful tools in analysis and research.

Find statistical methods and tutorials for the analysis of genetic and genomic data on Dr. Greenwood’s website, notably MDiNE: a model to estimate differential co-occurrence networks in microbiome studies. ggmix, a general penalized linear mixed model with a single random effect called ggmix for simultaneous SNP selection and adjustment for population structure in high dimensional prediction models.

Find statistical methods and tutorials for the analysis of genetic and genomic data on Dr. Brinkman’s website, notably PSORTm: a modified version of PSORTb 3.0.2 for protein subcellular localization prediction (SCL), and PSORTdb-based cell envelope classification, that can predict protein SCL from metagenomic sequences.