Don't Miss
  • Learn more about available bioinformatics tools and pipelines to analyze RNA sequencing data
  • New search engine for single cell atlases
  • Yale researchers identify tumor reactive immune cells with RNA sequencing to help fight against advanced melanoma
  • New algorithm identifies ‘escaping’ cells in single-cell CRISPR screens
  • RNA sequencing brings hope for endangered wild cats
  • Mim-tRNAseq – A method that accurately measures the abundance and modification status of different tRNAs
  • Uncovering the Anti-Myeloma Resistance Files
  • Long term and short-term effects of RNA fixation on Single Cell RNA Sequencing
  • Single cell RNA sequencing opens new avenues for eradicating leukaemia at its source
  • 2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing

RNA-Seq BlogRNA-Seq Blog Transcriptome Research & Industry News

  • Home
  • News
    • Commentary
    • Headlines
    • Industry News
    • Grants / Funding
    • Information
    • Poll Results
    • Press Releases
    • Transcriptome Sequenced
  • Events
    • Conferences
    • Meetings
    • Webinars
    • Workshops
    • Projects
    • Local Events
  • Jobs
  • Technology
    • Methods
      • Workflow
      • RNA Extraction
      • Library Preparation
      • Sequencing Protocols
      • Statistical Analysis
      • Data Analysis
        • Analysis Pipelines
        • Annotation
        • Clouding Platforms
        • Data Normalization
        • Data Sets
        • Data Visualization
        • Databases
        • Expression and Quantification
        • Other Tools
        • Pathway Analysis
        • SNP Detection
        • Splicing and Junction Mapping
        • Statistical Analysis
        • Transcriptome Assembly Tools
        • Unspliced Mapping Tools
    • New Products
      • Our Advertisers
    • Patents
    • Presentations
    • Publications
    • Review Publications
    • Web Tools
  • Data Analysis
    • Analysis Pipelines
    • Annotation
    • Clouding Platforms
    • Data Normalization
    • Data Sets
    • Data Visualization
    • Databases
    • Expression and Quantification
    • Other Tools
    • Pathway Analysis
    • SNP Detection
    • Splicing and Junction Mapping
    • Statistical Analysis
    • Transcriptome Assembly Tools
  • Blog
  • Reader Posts
  • Contact
    • Administration
    • Contribute News
    • Subscribe
    • Advertise
    • Request for RNA-Seq Services

Tag Archives: Genomic tracks

svist4get – a simple visualization tool for genomic tracks from sequencing experiments

March 8, 2019 Leave a comment 2,982 Views

rna-seq

High-throughput sequencing often provides a foundation for experimental analyses in the life sciences. For many such methods, an intermediate layer of bioinformatics data analysis is the genomic signal track constructed by short read mapping...

Read More »

Stay Connected

RNA-SEQ & COVID-19

Publications Trend

Recent RNA-SEQ Pubs

Single-cell differential splicing analysis reveals high heterogeneity of liver tumor-infiltrating T cells
6 March 2021
RNA-seq and GSEA identifies suppression of ligand-gated chloride efflux channels as the major gene pathway contributing to form deprivation myopia
6 March 2021
Deciphering the state of immune silence in fatal COVID-19 patients
6 March 2021
Single cell transcriptomics reveals lineage trajectory of retinal ganglion cells in wild-type and Atoh7-null retinas
6 March 2021
Mutant Huntingtin stalls ribosomes and represses protein synthesis in a cellular model of Huntington disease
6 March 2021
Transglutaminase Type 2 regulates the Wnt/β-catenin pathway in vertebrates
6 March 2021

News in Pictures

rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq
rna-seq

recent visitors

Subscribe to the RNA-Seq Blog


Email Frequency

RNA-Seq Products & Services

Most Shared Posts

  • pySeqRNA – an automated Python package for RNA sequencing data analysis
    Google +1 logo   Twitter logo   Facebook logo
  • A mouse tissue atlas of small noncoding RNA
    Google +1 logo   Twitter logo   Facebook logo
  • LncExpDB – an expression database of human long non-coding RNAs
    Google +1 logo   Twitter logo   Facebook logo
  • New approach to diagnosing genetic diseases using RNA sequencing increases yield
    Google +1 logo   Twitter logo   Facebook logo
  • Researchers find that a type of RNA monitors the genome to help ensure its integrity
    Google +1 logo   Twitter logo   Facebook logo
  • Popular
  • Recent
  • Comments
  • rna-seq

    RPKM, FPKM and TPM, clearly explained

    July 22, 2015
  • rna-seq

    How to Analyze RNA-Seq Data?

    October 10, 2016
  • rna-seq

    Visualization of nucleotide substitutions in the (micro)transcriptome

    August 13, 2014
  • rna-seq

    Life Technologies Releases New Research Tool: Oncomine NGS RNA-Seq Gene Expression Browser

    April 8, 2014
  • rna-seq

    Comparison of TMM (edgeR), RLE (DESeq2), and MRN Normalization Methods

    October 6, 2016
  • rna-seq

    Learn more about available bioinformatics tools and pipelines to analyze RNA sequencing data

    2 days ago
  • rna-seq

    New search engine for single cell atlases

    2 days ago
  • rna-seq

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

    2 days ago
  • rna-seq

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

    3 days ago
  • rna-seq

    RNA sequencing brings hope for endangered wild cats

    3 days ago
  • RNA-Seq Blog: Thanks for letting us know. We have updated the link....
  • Yoni Sheinberger: The link doesn't work...
  • Ivan Molineris: If I understood well the annotation "ENSEMBL" used in this p...
  • Aashni: Nice article...
  • rna fixation: Wonderful article! We will be linking to this great article...

Categories

Archives

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)


RNA-Seq

Recent News

  • rna-seq

    Learn more about available bioinformatics tools and pipelines to analyze RNA sequencing data

    2 days ago
  • rna-seq

    New search engine for single cell atlases

    2 days ago
  • rna-seq

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

    2 days ago
  • rna-seq

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

    3 days ago
  • rna-seq

    RNA sequencing brings hope for endangered wild cats

    3 days ago
  • rna-seq

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

    4 days ago
  • rna-seq

    Uncovering the Anti-Myeloma Resistance Files

    4 days ago

Subscribe to the RNA-Seq Blog


Email Frequency

Social Networking Pages


RNA-Seq
  • 6,573 Followers
  • 2,079 Fans
© Copyright 2009-2020, All Rights Reserved. | Designed by Go Big - Online Presence Creations