Review Publications

Power analysis of single-cell RNA-sequencing experiments

Single-cell RNA sequencing (scRNA-seq) has become an established and powerful method to investigate transcriptomic cell-to-cell variation, thereby revealing new cell types and providing insights into developmental processes and transcriptional stochasticity. A key question is how the variety of available protocols ...

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If it transcribes, we can sequence it!

rna-seq

Host-pathogen interactions are exceedingly complex because they involve multiple host tissues, often occur in the context of normal microflora, and can span diverse microenvironments. Although decades of gene expression studies have provided detailed insights into infection processes, technical challenges have ...

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Overview of methods and tools used to create and analyse co-expression networks constructed from gene expression data

Gene co-expression networks can be used to associate genes of unknown function with biological processes, to prioritize candidate disease genes or to discern transcriptional regulatory programmes. With recent advances in transcriptomics and next-generation sequencing, co-expression networks constructed from RNA sequencing ...

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