RNA-Sequencing analysis methods are rapidly evolving, and the tool choice for each step of one common workflow, differential expression analysis, which includes read alignment, expression modeling...
Read More »A review of approaches on high-and low-depth single-cell RNA-seq data
Advances in single-cell RNA-sequencing technology have resulted in a wealth of studies aiming to identify transcriptomic cell types in various biological...
Read More »Considerations for RNA-Seq Analysis of Circadian Rhythms
Circadian rhythms are daily endogenous oscillations of behavior, metabolism, and physiology. At a molecular level, these oscillations are generated by transcriptional-translational feedback loops composed of core clock genes. In turn, core clock genes drive the rhythmic accumulation of downstream outputs-termed ...
Read More »subSeq – Determining appropriate sequencing depth through efficient read subsampling
Next-generation sequencing experiments, such as RNA-Seq, play an increasingly important role in biological research. One complication is that the power and accuracy of such experiments depends substantially on the number of reads sequenced, so it is important and challenging to ...
Read More »RNA sequencing read depth requirement for optimal transcriptome coverage
One of the concerns of assembling de novo transcriptomes is determining the amount of read sequences required to ensure a comprehensive coverage of genes expressed in a particular sample. In this report, researchers from the Rubber Research Institute of Malaysia ...
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