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

March 5, 2015 Leave a comment 3,827 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 ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Nonparametric Approach

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

ac4C-seq – quantitative nucleotide resolution profiling of RNA cytidine acetylation

Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data

IsoSeek – unbiased and UMI-informed sequencing of cell-free miRNAs at single-nucleotide resolution

Cell-level metadata are indispensable for documenting single-cell RNA sequencing datasets

Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

Researchers use single-cell RNA sequencing to create critical new resource to boost coral reef conservation efforts

Sanity – bayesian inference of gene expression states from single-cell RNA-seq data