Contributors: Collins Assisi or Daniel Faria
This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...
This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...
This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial...
This intensive course is to provide students with the prerequisites - some conceptual background and sufficient working knowledge of mathematics - necessary to master the mathematically based graduate courses at the Center for Complex Systems & Brain Sciences. By no means it is intended to...
Scientific topics: Computational biology, Mathematics
Keywords: ComputationalBiology, Neuroscience, complex systems, Mathematics
Resource type: Notes, Scripts