RNA-seq is a widely used approach to investigate gene expression and increasingly is used in time course studies to characterize transcriptomic changes over time. Two primary options are available as controls in time course experiments: samples collected at the first ...
Read More »timeSeq – detect biologically relevant DE genes and gene sets in time course RNA-Seq data
Accurate identification of differentially expressed (DE) genes in time course RNA-Seq data is crucial for understanding the dynamics of transcriptional regulatory network. However, most of the available methods treat gene expressions at different time points as replicates and test the ...
Read More »CADBURE – A generic tool to evaluate the performance of spliced aligners on RNA-Seq data
The fundamental task in RNA-Seq-based transcriptome analysis is alignment of millions of short reads to the reference genome or transcriptome. Choosing the right tool for the dataset in hand from many existent RNA-Seq alignment packages remains a critical challenge for ...
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