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  • IRIS-EDA – An integrated RNA-Seq interpretation system for gene expression data analysis
  • RNA-Seq reveals specialized lung cells appear very early in development
  • EMBL Course: Shift your DNA and RNA Sequencing Library Preparation into Hyper-Drive
  • In general, agreement among scRNA-Seq data analysis tools in calling DE genes is not high
  • Improved RNA data visualization method gets to the bigger picture faster
  • New infographic available from Technology Networks
  • Upcoming LiveTutorial: RNA Sequencing Analysis
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Tag Archives: analysis software

Upcoming Webinar – How to Streamline RNA-Seq Analysis and Increase Productivity

September 9, 2015 Leave a comment 2,492 Views

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How to Streamline RNA-Seq Analysis with Partek Flow and Increase Productivity Join Partek for a complimentary webinar to learn how to analyze RNA-Seq data without using a command line interface. Using Partek Flow, we will demonstrate each analysis step with simple point-and-click ...

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Publications Trend

Recent RNA-SEQ Pubs

Genome-wide analysis of developmental stage-specific transcriptome in Bradysia odoriphaga.
Artificial MicroRNAs Targeting C9orf72 Can Reduce Accumulation of Intra-nuclear Transcripts in ALS and FTD Patients.
Dual RNA-Seq reveals the role of a transcriptional regulator gene in pathogen-host interactions between Pseudomonas plecoglossicida and Epinephelus coioides.
High-throughput transcriptome-Seq and small RNA-Seq reveal novel functional genes and microRNAs for early embryonic arrest in humans.
Identification of Key Long Non-Coding RNAs in the Pathology of Alzheimer's Disease and their Functions Based on Genome-Wide Associations Study, Microarray, and RNA-seq Data.
Evidence for the splicing of grablovirus transcripts reveals a putative novel open reading frame.

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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

    IRIS-EDA – An integrated RNA-Seq interpretation system for gene expression data analysis

    2 days ago
  • rna-seq

    RNA-Seq reveals specialized lung cells appear very early in development

    2 days ago
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    2 days ago
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    In general, agreement among scRNA-Seq data analysis tools in calling DE genes is not high

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    Improved RNA data visualization method gets to the bigger picture faster

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