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Tag Archives: latent variable model

Improving RNA-Seq expression estimation by modeling isoform- and exon-specific read sequencing rate

October 19, 2015 Leave a comment 2,750 Views

The high-throughput sequencing technology, RNA-Seq, has been widely used to quantify gene and isoform expression in the study of transcriptome in recent years. Accurate expression measurement from the millions or billions of short generated reads is obstructed by difficulties. One ...

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Recent RNA-SEQ Pubs

Human ORC/MCM density is low in active genes and correlates with replication time but does not delimit initiation zones
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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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    Learn more about available bioinformatics tools and pipelines to analyze RNA sequencing data

    4 days ago
  • rna-seq

    New search engine for single cell atlases

    4 days ago
  • rna-seq

    Yale researchers identify tumor reactive immune cells with RNA sequencing to help fight against advanced melanoma

    4 days ago
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    New algorithm identifies ‘escaping’ cells in single-cell CRISPR screens

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