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Tag Archives: Nonparametric Approach

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

March 5, 2015 Leave a comment 3,787 Views

rna-seq

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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Akebia saponin D ameliorates metabolic syndrome (MetS) via remodeling gut microbiota and attenuating intestinal barrier injury
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What is RNA-Seq?

long RNAs are first converted into a library of cDNA fragments through either RNA fragmentation or DNA fragmentation. Sequencing adaptors (blue) are subsequently added to each cDNA fragment and a short sequence is obtained from each cDNA using high-throughput sequencing technology. The resulting sequence reads are aligned with the reference genome or transcriptome, and classified as three types: exonic reads, junction reads and poly(A) end-reads. These three types are used to generate a base-resolution expression profile for each gene. Nat Rev Genet 10(1):57-63 (2009)


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  • rna-seq

    Mim-tRNAseq – A method that accurately measures the abundance and modification status of different tRNAs

    6 hours ago
  • rna-seq

    Uncovering the Anti-Myeloma Resistance Files

    7 hours ago
  • Long term and short-term effects of RNA fixation on Single Cell RNA Sequencing

    23 hours ago
  • rna-seq

    Single cell RNA sequencing opens new avenues for eradicating leukaemia at its source

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  • rna-seq

    2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing

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    scRNA-Seq reveals a new type of bone cell that may uncover therapeutic targets for a range of skeletal diseases

    2 days ago
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    DEBKS – a tool to detect differentially expressed circular RNA

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