Identification of cell type subpopulations from complex cell mixtures using single-cell RNA-sequencing (scRNA-seq) data includes automated steps from normalization to cell clustering. However, assigning cell type labels to cell clusters is often conducted manually, resulting in limited documentation, low reproducibility ...
Read More »Best RNA-Seq aligner: A comparison of mapping tools
RNA-Seq has replaced microarrays for many applications in the area of biomarker discovery. The prices have been fallen substantially in recent years. The sequence data allows to extract more information than gene expression only. And there is no requirement that ...
Read More »Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
The sequencing of the transcriptomes of single-cells, or single-cell RNA-sequencing, has now become the dominant technology for the identification of novel cell types and for the study of stochastic gene expression. In recent years, various tools for analyzing single-cell RNA-sequencing ...
Read More »Benchmark – Comparison of Different NGS Mappers
Here, researchers at ecSeq Bioinformatics provide detailed performance comparisons of NGS read aligners. They stress that benchmarks only measure specific aspects and may not be used to claim any universal superiority or inferiority of a particular tool. In order to ...
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