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Tutorial RNASeq of comparative transcriptomics based on the species Sparus aurata

  1. Home
  2. Courses
  3. Tutorial RNASeq differential expression
  4. 2.2.3 - Mapping
◄2. STEP-BY-STEP MODE TUTORIAL3. PIPELINE MODE TUTORIAL►
  • CONTENTS
  • 1. PRELIMINARY INFORMATION
    • 1.1 - Tutorial objective
    • 1.2 - Tutorial material and case study
    • 1.3 - Experiment design and support
    • 1.4 - Installing and activating RNASeq and the Server-Side
  • 2. STEP-BY-STEP MODE TUTORIAL
    • 2.1. - TOPHAT/HISAT2 & CUFFLINKS
      • 2.1.1 - Preparing your experiment
      • 2.1.2 - Quality analysis and preprocessing
      • 2.1.3 - Mapping
      • 2.1.4 - Transcriptome Assembly
      • 2.1.5 - Differential Expression analysis
      • 2.1.6 - GOSeq
    • 2.2. - MAPPING & COUNTING PROTOCOL
      • 2.2.1 - Preparing your experiment
      • 2.2.2 - Quality analysis and preprocessing
      • 2.2.3 - Mapping
      • 2.2.4 - Postprocessing
      • 2.2.5 - Differential Expression analysis
  • 3. PIPELINE MODE TUTORIAL
    • 3.1 - TopHat/Hisat2 & Cufflinks protocol
    • 3.2 - Mapping & Counting protocol
  • 4. BIBLIOGRAPHY
  • CITE US
  • 2.2.3 - Mapping


    The Mapping and counting protocol provides you with three mappers: Bowtie2 (Langmead and Salzberg, 2012), BWA (Li and Durbin, 2009) and Hisat2 (that also lets you to perform the analysis without GTF.

    In this tutorial we will use Bowtie2. To start, go to the Step-by-Step menu path, Mapping & Counting → Mapping → Bowtie2 and proceed as indicated in Video 9.

    Video 9. Mapping step using Bowtie2

    Expected results from Mapping analysis

    When Bowtie2 is complete, you will receive a bam file per sample with the reads mapped against the reference transcriptome data set. 

    The expected results of this step are available in the following link Mapping

    Remember you can check how the job was completed by accessing the job tracking panel. Pay particular focus on the log file metrics showing the % or reads successfully mapped. An acceptable value is more than 80% of reads mapped per fastq library. If the % is lower than 70% try to preprocess the samples again for better cleaning of the fastq libraries.  

    To learn more about Bowtie2, see http://bowtie-bio.sourceforge.net/bowtie2/index.shtml

    ◄2.2.2 - Quality analysis and preprocessing2.2.4 - Postprocessing►
    • Home
    • Calendar
    • Course sections
      • CONTENTS
      • 1. PRELIMINARY INFORMATION
      • 1.1 - Tutorial objective
      • 1.2 - Tutorial material and case study
      • 1.3 - Experiment design and support
      • 1.4 - Installing and activating RNASeq and the Server-Side
      • 2. STEP-BY-STEP MODE TUTORIAL
      • 2.1. - TOPHAT/HISAT2 & CUFFLINKS
      • 2.1.1 - Preparing your experiment
      • 2.1.2 - Quality analysis and preprocessing
      • 2.1.3 - Mapping
      • 2.1.4 - Transcriptome Assembly
      • 2.1.5 - Differential Expression analysis
      • 2.1.6 - GOSeq
      • 2.2. - MAPPING & COUNTING PROTOCOL
      • 2.2.1 - Prepare your experiment for the mapping & counting analysis
      • 2.2.2 - Quality analysis and preprocessing
      • 2.2.3 - Mapping
      • 2.2.4 - Postprocessing
      • 2.2.5 - Differential Expression analysis
      • 3. PIPELINE MODE TUTORIAL
      • 3.1 - TopHat/Hisat2 & Cufflinks protocol
      • 3.2 - Mapping & Counting protocol
      • 4. BIBLIOGRAPHY
      • Pipeline mode: Tophat & Cufflinks protocol results
      • Pipeline mode: Mapping & Counting protocol results
      • CITE US
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