SimSeq – A Nonparametric Approach to Simulation of RNA-Sequence Datasets

March 5, 2015 Leave a comment 4,670 Views

RNA sequencing analysis methods are often derived by relying on hypothetical parametric models for read counts that are not likely to be precisely satisfied in practice. Methods are often tested by analyzing data that have been simulated according to the ...

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SimSeq – A Nonparametric Approach to Simulation of RNA-Sequence Datasets

Voltage-Seq – all-optical voltage imaging-guided postsynaptic single-cell transcriptome profiling

Researchers identify three genes associated with neurodevelopmental disorders

Fragment-Seq – local tissue microenvironments at single-cell resolution

snHH-Seq – pan-cancer single-nucleus total RNA sequencing

Optimised RNA extraction method unlocks tough tissues for aquaculture research

dsRID – in silico identification of dsRNA regions using long-read RNA-seq data

FUN-PROSE – predicting the response of fungal genes